/* eslint-disable */
// Full article bodies migrated from intelligenceassist.com.au/blog.
// Copy is verbatim from the live posts. Blocks: p, h3, ul, table, note.
const POST_BODIES = {
"quantum-vs-ai-two-paths-to-smarter-machines": {
author: "Intelligence Assist", read: 3,
blocks: [
{ t: "p", x: "Two of today's most powerful technologies, Quantum Computing and Artificial Intelligence, are changing how we process information and make decisions. They sound futuristic and complex but at their core both are about finding patterns and answers, they just do it in very different ways." },
{ t: "h3", x: "How Quantum Computing Works" },
{ t: "p", x: "In a classical computer information is stored as bits, 0s and 1s. Every piece of data, from your emails to your photos, is just a long sequence of these two states. Quantum computers use qubits, short for quantum bits." },
{ t: "p", x: "Here's the big difference:" },
{ t: "ul", x: ["A classical bit can be either 0 or 1.", "A qubit can be 0, 1, or both at the same time, thanks to a property called superposition."] },
{ t: "p", x: "When we say a qubit can represent many states at once, we're really saying that a quantum computer can explore many possible solutions in parallel." },
{ t: "p", x: "Multiple qubits working together can represent huge numbers of possibilities simultaneously. For instance, with 2 qubits you can represent 4 possible combinations at once. With 10 qubits, you can represent over 1000 combinations simultaneously." },
{ t: "p", x: "Quantum computers also use entanglement, a phenomenon where qubits become linked, so that the state of one affects the others instantly. As well as interference, where quantum waves add up or cancel out. Correct answers strengthen as their waves align, while wrong ones fade as their waves cancel. In the end, the strongest remaining \u201csignal\u201d points to the most likely solution." },
{ t: "p", x: "Unlike classical machines that test options one by one, a quantum computer orchestrates all possibilities at once, using interference to strengthen the right answers while fading out the rest." },
{ t: "h3", x: "How Artificial Intelligence Works" },
{ t: "p", x: "If quantum computing is about exploring possibilities, AI is about learning from experience. It runs on classical computers, using data and algorithms rather than quantum effects." },
{ t: "p", x: "It's built on layers of systems:" },
{ t: "ul", x: ["Artificial Intelligence is the overall field for machines that mimic human thought.", "Machine Learning (ML) is a branch that teaches systems to learn from data.", "Deep Learning (DL) goes even further, using neural networks that simulate how the human brain processes information."] },
{ t: "p", x: "AI doesn't explore every possibility like quantum computers. Instead, it looks at data from the past, learns patterns, and uses them to make predictions." },
{ t: "p", x: "When you ask an AI system a question, your prompt triggers layers of algorithms and mathematical functions that weigh probabilities, compare patterns, and deliver the most likely correct answer. All through rapid classical computation." },
{ t: "h3", x: "How They're Similar" },
{ t: "p", x: "Despite their different roots, quantum computing and AI share a similar goal: to find meaningful patterns in vast amounts of data and make better decisions." },
{ t: "p", x: "Both rely heavily on probability and optimization:" },
{ t: "ul", x: ["AI adjusts numbers (weights) to improve its predictions.", "Quantum computers adjust amplitudes (wave strengths) to amplify correct results."] },
{ t: "p", x: "In both cases, you're guiding a system toward the most probable or useful outcome, one through mathematics and data, the other through physics." },
{ t: "h3", x: "Where They Meet: Quantum AI" },
{ t: "p", x: "Scientists are now exploring Quantum AI, a field that merges the immense computational power of quantum systems with the adaptive intelligence of AI. In the future, this combination could allow models to process information and recognize patterns that today's computers can't even begin to handle. Together, they hint at a new era where machines don't just think faster, they understand more deeply." },
],
},
"openais-agentkit-what-australian-smes-actually-need-to-know": {
author: "Intelligence Assist Team", read: 3,
blocks: [
{ t: "p", x: "Two weeks ago, OpenAI launched AgentKit at DevDay 2025, and headlines proclaimed \u201cthe end of workflow automation as we know it.\u201d CEO Sam Altman called it \u201ca complete set of building blocks to take agents from prototype to production with way less friction.\u201d But is AgentKit genuinely revolutionary, or just riding OpenAI's brand wave? After thoroughly researching the platform, here's what Australian SMEs actually need to know." },
{ t: "h3", x: "What AgentKit Is and What It Promises" },
{ t: "p", x: "Released October 5, 2025, AgentKit consolidates agent development into four components: Agent Builder (visual workflow canvas), Connector Registry (centralised integrations for Google Drive, SharePoint, Teams), ChatKit (pre-built chat UI components), and Evals Tools (testing and optimisation). OpenAI spotlighted wins like Ramp cutting iteration time by 70% and LY Corporation building workflows in under two hours." },
{ t: "h3", x: "The Reality: Limitations and Pricing Challenges" },
{ t: "p", x: "Once independent developers started testing, significant limitations emerged:" },
{ t: "ul", x: [
"Chat-Only Triggers: No scheduled runs or webhooks. Everything requires chat triggers. For automated daily reports or event-triggered workflows, this is a fundamental gap.",
"Limited Integrations: Only eight native apps without MCP extensions, versus Zapier's thousands or n8n's hundreds.",
"Unstable Execution: Multiple testers reported frequent errors during real-world testing.",
"No Built-In Memory: Agents forget previous runs unless you build state persistence separately.",
"Unpredictable Pricing: There's no flat plan. Costs are entirely usage-based in USD: GPT-5 Reasoning ($1.25 per 1M input tokens, $10 per 1M output tokens), Code Interpreter ($0.03 per session), File Storage ($0.10/GB per day), Web Search ($10 per 1,000 calls), and ChatKit Storage ($0.10/GB-day from November 1, 2025). For Australian businesses, currency conversion and unpredictable token usage make budgeting challenging, unlike Zapier or n8n with clear monthly caps.",
] },
{ t: "p", x: "Despite limitations, AgentKit excels at rapid prototyping for testing agentic concepts, provides sophisticated integrated evaluation capabilities most platforms lack, and ChatKit genuinely saves weeks of frontend development. Access to GPT-5's cutting-edge reasoning capabilities remains its strongest advantage." },
{ t: "h3", x: "Practical Guidance for Australian Businesses" },
{ t: "p", x: "AgentKit represents progress, but not the paradigm shift headlines suggest. It's useful for prototyping and GPT-5-based reasoning, best for chat-centric workflows, but not a replacement for mature automation tools. It's still in beta, not suitable for non-technical users, and lacks the predictability needed for scheduled automation." },
{ t: "ul", x: [
"Consider AgentKit when: You're invested in OpenAI's ecosystem, need GPT-5 reasoning specifically, require rapid prototyping, operate chat-based workflows, and have technical resources.",
"Stick with existing tools when: You need scheduled automation, cost predictability matters, you require extensive integrations, your team lacks technical expertise, or you need proven stability for business-critical processes.",
] },
{ t: "h3", x: "Our Perspective" },
{ t: "p", x: "As consultants working daily with Copilot Studio, Voiceflow, n8n, and Botpress, we're watching AgentKit with measured interest. It shows promise but lacks crucial features for business deployment. Vendor lock-in and unpredictable pricing concern us for Australian businesses forecasting costs. AgentKit is worth monitoring, not adopting widely yet. Often, the functionality it provides can be achieved more reliably and cost-effectively through existing, mature platforms offering greater flexibility." },
{ t: "p", x: "The real question isn't \u201cShould we use AgentKit?\u201d It's \u201cWhat business problems are we solving, and which tools are genuinely production-ready to solve them?\u201d" },
{ t: "note", x: "Want automation strategies that deliver measurable results without hype? Contact Intelligence Assist for consultation on implementing reliable, cost-effective solutions tailored to Australian businesses." },
],
},
"tool-of-the-week-julius-for-data-ai": {
author: "George Anastasiadis", read: 3,
blocks: [
{ t: "p", x: "Most teams do not lack data. They lack time to turn it into clear answers. Spreadsheets tangle into formulas, filters and tabs as you chase follow ups. Julius AI sits in that gap. Ask a plain English question of your files or data sources and you get a chart, a table and an explanation, plus the code used so you can refine or reuse it. With generative AI making natural language queries second nature, Julius brings that habit to analysis. It is like an analyst's seat in your browser that works with real data and produces outputs you can trust." },
{ t: "h3", x: "What is Julius AI?" },
{ t: "p", x: "Julius AI is a conversational data analysis workspace that lets you connect files and live data sources, ask questions in plain English, and get charts, tables, models and reproducible notebooks without writing code. Under the hood it uses multiple large language models and will generate SQL or Python and expose the code when you need it. It targets everyone from non-technical business users through to analysts and researchers. One way to think about it: Julius cuts out the need to manually write most of the code, while still giving you full control over the code's design, structure and deliverables. It's like being an architect who sketches the blueprint, while a skilled builder handles the actual hammering and bricklaying." },
{ t: "h3", x: "Make Any Data Understandable and Operable" },
{ t: "p", x: "Julius takes data in almost any form and turns it into clear outputs you can run, reuse and scale, or simply cleans it so you can understand it. Bring files from spreadsheets and PDFs, link Google Drive and Sheets, or connect live warehouses like Postgres, BigQuery and Snowflake. Julius profiles, cleans and aligns fields so tables join properly, and metrics stay consistent. Data prep is often the most frustrating part. If it becomes a problem, you start bending your design to suit the mess instead of the question. Julius prevents that, protecting your intent while it fixes the inputs." },
{ t: "h3", x: "From Chat to Notebook to Scheduled Run" },
{ t: "ul", x: [
"Start with a chat on a file or live source. Refine until the chart tells the story.",
"Save the steps into a notebook with parameters for inputs, ready to share and review.",
"When stable, schedule it to pull fresh data and deliver results to email or Slack. Use this to shorten the path from question to decision with quality checks in place. Ideal for KPI digests, sales updates, campaign readouts, finance snapshots and board sections that need consistent numbers.",
] },
{ t: "h3", x: "Pricing and Limits, with Tips for the Right Plan" },
{ t: "ul", x: [
"Free suits small one-off work. You get 15 messages, notebooks and Google Drive.",
"Plus expands to 250 messages with saved prompts, advanced reasoning and short-term storage.",
"Pro unlocks unlimited messaging, collaboration and database connectors. Enterprise adds security, audit logs and permanent storage.",
] },
{ t: "p", x: "Rule of thumb: Individuals start with Free or Plus. Teams choose Pro. Large or regulated organisations go Enterprise." },
{ t: "h3", x: "Ready to Put Julius to Work on your Data?" },
{ t: "p", x: "At Intelligence Assist, we design Julius workflows that answer your questions, from exploratory analysis to repeatable reporting and modelling. Think monthly summaries, weekly KPIs, campaign and channel readouts, pricing and margin analysis, cash flow projections and \u2018what if\u2019 scenarios. You keep the controls, the schedule and the results." },
],
},
"grounding-why-ai-needs-it-why-you-need-it": {
author: "Intelligence Assist Team", read: 3,
blocks: [
{ t: "p", x: "Do you ever feel like the answers AI gives are a little made up? That's because they are." },
{ t: "p", x: "AI sounds smart, but it doesn't know. It predicts words based on patterns, which can sound right but be wrong." },
{ t: "p", x: "That's where grounding comes in." },
{ t: "p", x: "Grounding simply means anchoring your AI to the right information. Instead of letting it \u201cguess\u201d from its general training, you connect it to your trusted sources, like your policies, product details, or customer FAQs, so it always has a reliable base to work from." },
{ t: "p", x: "Think of it like briefing a new employee. If you tell them, \u201cjust use your best judgment,\u201d they'll give it a go, but mistakes will happen. If you give them your operations manual and product sheets, they'll get things right much more often. That's grounding in action." },
{ t: "h3", x: "Ungrounded vs Grounded" },
{ t: "table", head: ["", "What Ungrounded AI Looks Like", "What Grounded AI Looks Like"], rows: [
["Policy questions", "\u201cLeave rules vary. Check with HR.\u201d", "\u201cYou can take 20 days of annual leave per year. See page 3 of the Leave Policy.\u201d"],
["Customer support", "\u201cThat issue is usually covered by warranty.\u201d", "\u201cThis product has a 2-year warranty. Section 4 of the Warranty Guide explains what's included.\u201d"],
["Meeting prep", "\u201cYour next meeting might be about sales.\u201d", "\u201cYou have a sales review with Sarah at 2pm. Here's the agenda from the invite.\u201d"],
] },
{ t: "h3", x: "Getting Grounding Right" },
{ t: "ul", x: [
"Start small \u2013 Ground with your most-used docs like FAQs and checklists.",
"Keep it fresh \u2013 Update content regularly or connect to live data.",
"Structure counts \u2013 Clear, well-organised guides work better than messy text dumps.",
"Test it \u2013 Ask real staff or customer questions and adjust based on the results.",
"Ask for sources \u2013 Check where the AI pulled answers from to build trust and accuracy.",
] },
{ t: "h3", x: "How to ground Microsoft Copilot" },
{ t: "p", x: "How you ground depends on which version you have:" },
{ t: "ul", x: [
"Copilot Chat \u2013 Comes with standard Microsoft 365 business licences. Grounded in the public web plus any files you upload into the chat. Think of it as a smart assistant that works with what you bring.",
"Copilot Pro \u2013 An additional paid upgrade. Grounded in your Microsoft 365 work content (emails, calendar, Teams, docs) via Microsoft Graph. Think of it as a powerful work-aware assistant that already knows your context.",
] },
{ t: "h3", x: "Four ways to ground ChatGPT" },
{ t: "ul", x: [
"Add context directly \u2013 Upload a file, take a screenshot, or snap a photo to give the model context.",
"Connect your apps \u2013 Connectors are available straight to Google or Microsoft drives, email, calendars and sites, as well as other apps like Slack, or Notion so the model can access live, up-to-date information.",
"Use projects \u2013 A project is a space where you can collect files, links, and notes so every conversation stays grounded in the same references.",
"Custom GPTs \u2013 A GPT is your own tailored AI. You can upload reference documents or add a knowledge base so it always answers with your facts.",
] },
{ t: "h3", x: "Want absolute certainty the answers are grounded? Try NotebookLM" },
{ t: "p", x: "A notebook is a workspace where you add sources, and the model uses only those to answer questions and generate insights." },
{ t: "p", x: "It was invented to give students (and anyone learning) confidence that their AI answers come only from verified sources they've chosen, but it's now widely adopted by businesses too." },
{ t: "ul", x: [
"Add sources \u2013 Upload files, paste text, or link content.",
"Ask questions \u2013 Summarise, compare, or explain based on those sources.",
"Explore insights \u2013 Turn grounded answers into outlines, brainstorms, or deeper analysis.",
] },
{ t: "h3", x: "Why this Matters" },
{ t: "p", x: "Businesses can't afford AI that wastes time. Grounding gives you AI that's:" },
{ t: "ul", x: [
"Accurate: Reduces \u201cHallucinations\u201d (AI making things up).",
"Safe: Helps ensure compliance and reliability.",
"Trustworthy: Answers come from known documents or data.",
] },
{ t: "p", x: "Grounding is the difference between AI you can trust and AI that makes it up." },
],
},
"how-to-choose-the-right-chatbot-for-your-business": {
author: "Issey Stevens", read: 3,
blocks: [
{ t: "p", x: "The AI chatbot landscape has exploded with possibilities, but choosing the wrong type can leave your investment gathering digital dust." },
{ t: "p", x: "Businesses know that chatbots can deliver value. Leadership teams are asking questions like:" },
{ t: "ul", x: ["\u201cHow can we use AI to improve customer experience?\u201d", "\u201cWhat can we do to reduce the burden on our support team?\u201d", "\u201cHow do we make our internal knowledge more accessible to employees?"] },
{ t: "p", x: "But here's where many companies get stuck: they don't know what type of chatbot they actually need." },
{ t: "h3", x: "The IA Approach: Think Human First, Technology Second" },
{ t: "p", x: "We start with a simple question: if this chatbot were a human employee, what would its' job title be?" },
{ t: "p", x: "We then guide clients through \u201cRole Design,\u201d defining five critical elements:" },
{ t: "ol", x: [
"Character: Professional for B2B or friendly for retail?",
"Goals: Reduce tickets 40%? Capture leads? Guide resources?",
"Actions: Answer questions, schedule appointments, process payments?",
"Knowledge: Policies, products, pricing, procedures?",
"Tools: CRM, payments, databases?",
] },
{ t: "p", x: "This exercise naturally reveals which chatbot type you need." },
{ t: "p", x: "After extensive experimentation, evaluation and client implementations, we've identified that most business needs fall into two distinct categories: Knowledge Chatbots and Agentic Chatbots." },
{ t: "h3", x: "Knowledge Chatbots" },
{ t: "p", x: "Knowledge chatbots function as digital information assistants, primarily for internal use. They excel at accessing company policies, procedures, and documentation to answer employee questions and guide users to specific resources. Think HR policy inquiries, IT troubleshooting, employee onboarding, and compliance guidance. These chatbots reduce internal support tickets by making institutional knowledge instantly accessible." },
{ t: "p", x: "Our pick: Voiceflow stands out with its completely no-code visual interface, making it ideal for rapid prototyping and teams without programming knowledge. Its comprehensive voice assistant development capabilities set it apart for projects requiring speech interactions alongside traditional chat interfaces. While Voiceflow requires custom API connections for most integrations, its advanced conversation design interface excels at handling complex, branching customer interactions with sophisticated workflow automation." },
{ t: "h3", x: "Agentic Chatbots" },
{ t: "p", x: "Agentic chatbots serve as digital action-takers, typically customer-facing. Beyond answering questions, they capture lead information, schedule appointments, process transactions, initiate phone transfers to human agents, and execute multi-step workflows. They're designed for lead qualification, customer support with resolution capability, e-commerce transactions, and service request processing." },
{ t: "p", x: "Our pick: Botpress excels with its sophisticated scoped knowledge access system, allowing specific workflow nodes to access only relevant sections of your knowledge base. This dramatically improves response accuracy while reducing hallucinations that occur when large, unscoped databases cause conflicting information retrieval. Botpress indexes business-wide knowledge bases with intelligent retrieval, supports filtering by time or keyword, and provides transparent source citations through its built-in citation system. With 50+ direct integrations out of the box, it connects seamlessly to existing business systems using a low-code approach." },
{ t: "p", x: "Success stems from aligning chatbot capabilities with business needs rather than chasing feature-rich platforms." },
{ t: "p", x: "The chatbot market will only get noisier, but clarity comes from asking the right questions about the role you need filled \u2013 not from comparing feature lists. At Intelligence Assist, we work with small and medium businesses to design chatbots that behave like capable team members, not clunky add-ons. By defining character, knowledge, tools, goals, and actions up front, we help you avoid wasted spend and build a solution that delivers measurable value." },
{ t: "note", x: "If you're ready to move from chatbot experiments to real business impact, let's design the right role together." },
],
},
"tool-of-the-week-ai-enhanced-productivity-gains-with-notion": {
author: "Casper Jacobs", read: 3,
blocks: [
{ t: "p", x: "Running an SME often means juggling many different tools and wearing many different hats. The result? Scattered information and wasted time. One platform for notes, one for tasks, another for client records, and yet another for reminders. At Intelligence Assist, we've faced the same challenge, and then we found Notion." },
{ t: "h3", x: "Quick Wins Across Multiple Workflows" },
{ t: "p", x: "Notion brings together the different tools SMEs often juggle into a single platform. Instead of switching between separate systems for notes, tasks, and knowledge management, teams can work in one shared space that adapts to their needs." },
{ t: "ul", x: [
"One place for notes, documents, and databases instead of losing time switching between apps",
"Pages and templates that match specific business processes",
"Real-time collaboration with comments and updates",
"Automated workflows like reminders and dashboards that save manual follow-ups",
] },
{ t: "p", x: "For many SMEs, traditional CRMs are costly and restrictive, forcing businesses to adapt to rigid structures. Notion offers flexibility \u2013 you create the system that works for your business rather than conforming to someone else's vision." },
{ t: "h3", x: "Why Notion 3.0 AI Agents can work for you" },
{ t: "p", x: "This morning, Notion announced a complete transformation with Notion 3.0. They've rebuilt their AI from the ground up as intelligent Agents \u2013 marking a shift from AI that helps you work to AI that works for you." },
{ t: "p", x: "These AI Agents can take on entire projects autonomously. Ask your Agent to build a Q4 marketing campaign, and it will research your target market, create content calendars, draft email sequences, set up tracking databases, and assign tasks to team members." },
{ t: "p", x: "Here's what makes Notion Agents particularly powerful for SMEs:" },
{ t: "ul", x: [
"Complete Project Execution: Tell it to \u201ccreate a client onboarding workflow\u201d and it will design intake forms, set up automated email sequences, create progress tracking databases, and draft welcome materials.",
"Database Operations at Scale: Ask it to \u201cupdate all Q3 projects with budget variance analysis\u201d and it will calculate, analyse, and populate fields across your entire project database simultaneously.",
"Cross-Platform Intelligence: Your Agent accesses information from connected tools like Slack, Google Drive, and GitHub. When creating a project proposal, it can reference past client communications and incorporate current templates.",
"Intelligent Navigation: Ask \u201cWhere is the contract for X Company?\u201d and your Agent will instantly locate the specific page, even if it's buried in complex folder structures.",
"Persistent Learning: Set up your Agent with specific instructions about your business processes and preferences. It remembers that you prefer bullet points over paragraphs and always include ROI calculations in proposals.",
"Advanced Automation: Agents can execute 20+ minute workflows involving multiple databases and external integrations \u2013 processing new leads, creating client profiles, setting up project tracking, and generating proposal drafts.",
] },
{ t: "p", x: "The key advantage is seamless integration \u2013 Agents work within your existing Notion workspace, understanding your specific data relationships and business context." },
{ t: "h3", x: "Our experience and final thoughts" },
{ t: "p", x: "As a growing SME ourselves, we use Notion as our central hub for planning and documentation. With Notion 3.0's Agent capabilities, we're looking at a future where Agents can manage entire campaigns and projects autonomously." },
{ t: "p", x: "The combination of flexible organisation, built-in automation, and autonomous AI agents reduces tool sprawl, speeds up routine work, and frees up time to focus on clients and growth." },
{ t: "p", x: "Notion's AI is available on Business and Enterprise plans, and outputs still require review and refinement. However, if you're an SME looking for one platform to simplify productivity while leveraging cutting-edge AI capabilities, Notion 3.0 represents a transformative starting point." },
{ t: "note", x: "Ready to explore how AI can transform your business operations? At Intelligence Assist, we help SMEs identify the right AI tools and implement them strategically to get your business running fast and efficiently." },
],
},
"tool-of-the-week-gumshoe-ai": {
author: "Intelligence Assist Team", read: 3,
blocks: [
{ t: "p", x: "We found a tool that opened our eyes to how AI-powered search engines are already shaping brand visibility. It's called Gumshoe AI, and it helps businesses understand how large language models like ChatGPT, Gemini, Claude, and Perplexity are talking about them today. For small businesses, this shift matters because the way customers discover products and services is changing fast." },
{ t: "p", x: "Visibility in LLM-powered results are becoming a new battleground (we even wrote a blog about it), and tools like Gumshoe AI help smaller businesses understand how they're being represented, what gaps exist compared to competitors, and how to adjust content strategies to stay findable." },
{ t: "h3", x: "What is Gumshoe AI?" },
{ t: "p", x: "Rather than optimising for search rankings, Gumshoe runs thousands of prompts through leading AI models to see how they talk about different brands. It works by running thousands of simulated prompts across these AI tools, then analysing the responses to see:" },
{ t: "ul", x: [
"How often your brand is mentioned (your \u201cshare of LLM\u201d)",
"Whether competitors are showing up more frequently",
"The topics or personas where you're visible (e.g. budget-conscious shoppers vs professional buyers)",
"Which sources the AI is citing most",
] },
{ t: "p", x: "For small businesses, this creates an evidence-based snapshot of how discoverable you are in the new search landscape." },
{ t: "h3", x: "What we learned using it" },
{ t: "p", x: "When we trialled Gumshoe, we even uncovered a spelling error on our own site that was stopping us from being properly picked up. More importantly, it gave us perspective on how AI assistants perceive our brand and where we sit compared to others." },
{ t: "p", x: "It highlighted persona questions where we were invisible, showed us which types of content were being recognised, and pointed out where competitors were more visible. These are the kinds of insights SMEs can use to decide whether to update their websites, publish more targeted FAQs, or refine messaging." },
{ t: "p", x: "We found Gumshoe incredibly accessible \u2013 the first report is free, and each additional report costs just $0.10, keeping experimentation low-risk and affordable." },
{ t: "h3", x: "From monitoring to action" },
{ t: "p", x: "Right now, Gumshoe is strongest as an analytics tool: it audits where you appear, where you don't, and what context you're framed in. But the roadmap is moving toward actionable recommendations. Think of prompts like \u201cwrite content answering X because no model currently attributes that topic to you\u201d or \u201coptimise your About page since it's being cited but missing details.\u201d" },
{ t: "p", x: "For SMEs with limited marketing resources, these insights are gold. Instead of spending time and money on generic campaigns, they can focus on the handful of levers that move the needle in AI search." },
{ t: "h3", x: "The bigger picture" },
{ t: "p", x: "Generative AI isn't replacing traditional search overnight, but it is steadily reshaping how people find businesses online. For SMEs, that means the discovery game is evolving. Tools such as Gumshoe AI can highlight where you stand today, but the bigger lesson is simple: don't ignore the shift." },
{ t: "p", x: "Awareness is the first step. Staying visible in the age of AI will come down to paying attention, adapting content, and making sure your business has a voice in the answers people are already receiving." },
],
},
"brands-that-adapt-get-seen": {
author: "Janey Treleaven | Founder", read: 3,
blocks: [
{ t: "p", x: "As AI becomes more integrated into discovery engines, companies' risk having their products and services overlooked if they aren't following the proper steps. Traditional Google searches that drive traffic through clickable links are giving way to AI-powered search experiences that provide direct answers." },
{ t: "p", x: "Forbes' reports that 60% of traditional searches now yield \u2018no clicks at all', as AI-generated answers satisfy most users. Such reports reveal a concerning trend for businesses: users are increasingly bypassing traditional search results in favour of AI overviews or heading straight to platforms like ChatGPT and Perplexity for instant answers. Instead of typing keywords into a search engine like Google, people are asking ChatGPT questions like \u201cbest running shoes under $200.\u201d The response is not a list of ads but a conversational answer with product cards, reviews, prices, and links." },
{ t: "p", x: "This evolution isn't shrinking your audience; it's simply changing where they search. Traditional SEO is still important, but there a few things you need to do to ensure that you are chosen to appear in AI-generated recommendations." },
{ t: "p", x: "The key to appearing in ChatGPT search results lies in understanding how the system discovers your content. Like traditional search engines, ChatGPT employs a web crawler called OAI-SearchBot to find, access, and surface information across the internet. Companies that delay recognising this shift risk being invisible to customers, as people slowly depend increasingly on chatbots like ChatGPT." },
{ t: "h3", x: "Step 1: Don't Block the Bot" },
{ t: "p", x: "The most crucial step is ensuring you haven't accidentally opted out of OpenAI's search crawler. Check your robots.txt file to confirm that OAI-SearchBot has access to your site. If you've previously blocked AI crawlers broadly, you may need to create specific allowances for OpenAI's search bot while maintaining restrictions on training crawlers." },
{ t: "p", x: "It's important to note that OAI-SearchBot serves a different purpose than OpenAI's model training crawlers. This bot specifically focuses on linking to and surfacing websites in search results. It's not used to train AI models." },
{ t: "h3", x: "Step 2: Track Your Success" },
{ t: "p", x: "Publishers who allow OAI-SearchBot access can monitor their performance using standard analytics tools. ChatGPT automatically includes the UTM parameter utm_source=chatgpt.com in referral URLs, making it easy to track traffic from AI search results in Google Analytics or similar platforms." },
{ t: "h3", x: "Step 3: Optimise Your Content" },
{ t: "p", x: "While allowing crawler access is essential, forward-thinking businesses should consider additional strategies:" },
{ t: "ul", x: [
"Create Clear, Comprehensive Content: AI systems excel at understanding context and intent. Ensure your product descriptions, service pages, and content clearly explain what you offer, who it's for, and why it's valuable.",
"Focus on User Intent: Instead of just optimising for keywords, think about the questions and problems your target customers are trying to solve. Create content that directly addresses these needs.",
"Maintain Updated Information: AI systems value fresh, accurate information. Keep your product details, pricing, and availability current.",
] },
{ t: "p", x: "Brands that move now gain a first-mover advantage. Brands that hesitate risk being filtered out of the new discovery layer altogether." },
{ t: "p", x: "Understanding how AI search affects your business is just the beginning. At Intelligence Assist, we help businesses like yours build an AI Blueprint for thriving in this era of AI." },
],
},
"the-hidden-cost-of-ai-why-every-prompt-matters": {
author: "Taylor Shutes", read: 4,
blocks: [
{ t: "p", x: "You're not alone if you've been there, asking ChatGPT to rewrite the same email five different ways, or regenerating a Sora image repeatedly to try and remove those extra fingers it's so determined to include. It feels effortless, costless even. But what if every AI interaction carried the weight of real consequence?" },
{ t: "p", x: "At Intelligence Assist, we often draw on a simple analogy: AI agents are like employees climbing the industry ladder, starting as interns and advancing as their capabilities grow. A handy comparison, but one that carries a more uncomfortable social parallel\u2026 compute power is labour, and AI costs are wages. You'd never keep staff working late just to use up your payroll budget. The same logic applies to AI, don't run processes just because you can." },
{ t: "h3", x: "The Illusion of Effortlessness" },
{ t: "p", x: "AI has mastered the art of appearing effortless. No visible strain, no complaints, no lunch breaks. This seamless experience masks a staggering reality: the infrastructure powering your casual Tuesday afternoon ChatGPT session rivals the energy consumption of small cities." },
{ t: "p", x: "Consider this: training a single large language model like GPT-4 generates over 500 tonnes of CO\u2082, equivalent to hundreds of transatlantic flights. The University of Massachusetts Amherst found that training one major AI model consumes as much energy as five cars over their entire lifetimes, fuel included. Even something as simple as generating an AI image burns through the electricity equivalent of charging half an iPhone battery." },
{ t: "p", x: "Yet because we don't see the spinning fans, the humming servers, or the cooling systems working overtime, we treat AI like a bottomless resource. Take Microsoft's 34% increase in water consumption in 2022, that was from cooling the data centres powering our AI interactions, and OpenAI's GPT-3 training alone consumed enough water to cool a nuclear reactor for hours." },
{ t: "h3", x: "The Psychology of Invisible Labour" },
{ t: "p", x: "Here's where the employee analogy becomes crucial. Imagine asking your intern to rewrite the same paragraph twenty times, not because the work matters, but because you're bored and curious about variations. You'd hesitate (hopefully), not just because it's wasteful, but because you understand the human cost." },
{ t: "p", x: "AI doesn't sweat, sigh, or show fatigue. It's the ultimate people-pleaser, responding to every request with algorithmic enthusiasm. This creates a dangerous disconnect between action and consequence. Every prompt activates a global network of GPUs housed in massive data centres, consuming electricity generated from coal, natural gas, and nuclear plants around the world." },
{ t: "p", x: "The invisible nature of this process breeds carelessness. We regenerate images for entertainment, ask AI to perform tasks that simple logic could solve, and deploy machine learning where human judgment would be faster and more efficient." },
{ t: "h3", x: "Strategic Thinking Over Technological Capability" },
{ t: "p", x: "The most important question isn't \u201cCan AI do this?\u201d but \u201cShould AI do this?\u201d" },
{ t: "p", x: "With the rise of AI, it's easy to fall into the trap of thinking it's the solution to everything. You might even assume that an AI agency such as Intelligence Assist (us), would inherently throw some star-shaped AI solution at even the most basic square-shaped problems. But, in-fact, we make it our mission to avoid that, and to show you how to do the same." },
{ t: "p", x: "Too many organisations are mistaking capability for value, implementing AI simply because they can, not because they should. This approach resembles asking an intern to read a 300-page document just to find one word, technically feasible, but spectacularly inefficient." },
{ t: "p", x: "The real opportunity lies in strategic intent: finding the moments where AI delivers meaningful impact, not just marginal novelty. Smart implementation is about targeted, purposeful use, not blanket application." },
{ t: "p", x: "When AI is deployed without strategic intent, several problems emerge:" },
{ t: "ul", x: [
"Resources drain through unnecessary API calls and token consumption",
"Workflows slow down as teams wade through irrelevant outputs",
"Massive computational overhead supports trivial tasks",
"Environmental impact grows without proportional value creation",
] },
{ t: "p", x: "The best AI implementations solve problems you actually have, not problems you create." },
{ t: "h3", x: "Redefining Digital Responsibility" },
{ t: "p", x: "We're witnessing the emergence of a new form of digital literacy, one that recognises our online actions have offline consequences. Just as we learned that printing unnecessary documents wastes paper, we must understand that careless AI usage wastes energy, water, and computational resources at unprecedented scales." },
{ t: "p", x: "This shift requires both individual awareness and organisational culture change. Teams need frameworks for determining when AI adds genuine value versus when it simply adds computational overhead. They need metrics that account for efficiency, not just capability." },
{ t: "h3", x: "Building a Sustainable AI Future" },
{ t: "p", x: "The solution isn't to abandon AI, it's to use it intelligently. This means developing systems and habits that maximise value while minimising waste. It means asking harder questions about necessity, efficiency, and genuine improvement over existing methods." },
{ t: "p", x: "At Intelligence Assist, we help organisations navigate this balance. Our approach focuses on strategic AI implementation that enhances human capability rather than replacing human judgment unnecessarily. We provide education and frameworks that help teams use AI responsibly, both for operational efficiency and environmental stewardship." },
{ t: "p", x: "The future of AI isn't just about what's possible; it's about what's purposeful. Every prompt is a choice, every generation a decision. Just because your AI worker never complains doesn't mean it should never rest." },
],
},
"why-you-cant-just-throw-a-spreadsheet-into-ai-and-expect-magic": {
author: "Janey Treleaven | Founder", read: 3,
blocks: [
{ t: "h3", x: "TL;DR" },
{ t: "p", x: "Throwing a spreadsheet into an AI tool won't magically produce accurate calculations or predictions. The complexity of spreadsheet logic, the limitations of current AI models, and the risks of data errors mean that AI is best used as an assistant\u2014not a replacement\u2014for quantitative work in spreadsheets. For now, human expertise remains essential to ensure accuracy and actionable insights." },
{ t: "p", x: "AI can write poetry, craft compelling marketing copy, and even generate code from simple descriptions. It's genuinely impressive at creative and language tasks that once seemed uniquely human. So naturally, you might think: \u201cIf AI can do all that complex creative stuff, surely crunching numbers and analysing data should be a breeze, right?\u201d After all, computers have always been good with maths and data processing. But here's the twist\u2014throwing a spreadsheet at AI and expecting instant, accurate analysis is where many people get tripped up. The reality is more nuanced than you might expect." },
{ t: "p", x: "Here are five key reasons why AI struggles with spreadsheets more than you'd think:" },
{ t: "h3", x: "1. Spreadsheets Aren't Just Tables" },
{ t: "p", x: "Spreadsheets are powerful because they're more than just rows and columns of numbers. They contain complex formulas, cell references, pivot tables, and sometimes even macros\u2014essentially, a living web of logic and relationships. When you upload a spreadsheet to most AI tools, much of this intricate structure can get lost in translation. AI models may see the data, but they don't always grasp the deeper logic behind how numbers are calculated or connected." },
{ t: "h3", x: "2. AI Models Are Built for Text, Not Spreadsheets" },
{ t: "p", x: "Most of today's AI models, like ChatGPT or Gemini, are designed to process and generate text. They're amazing at understanding language, summarizing documents, or even writing poetry. But when it comes to spreadsheets, these models don't natively understand the two-dimensional grid, the formulas, or the way data flows from one cell to another. Unless specifically trained for it, AI can miss the context and rules that are baked into your spreadsheet." },
{ t: "h3", x: "3. Size and Structure Matter" },
{ t: "p", x: "Spreadsheets can be huge, with thousands of rows and columns. AI models have limits on how much data they can process at once. Even with new tools that help compress and interpret spreadsheet data, there are still challenges\u2014especially with features like cell colors, conditional formatting, or hidden logic that AI might overlook." },
{ t: "h3", x: "4. Human Errors and AI Limitations" },
{ t: "p", x: "Let's face it: spreadsheets are prone to human error. Studies have shown that nearly 9 out of 10 spreadsheets contain mistakes. While AI can help spot some inconsistencies, it's not foolproof. If the underlying data is flawed or the formulas are wrong, AI might simply amplify those errors instead of fixing them." },
{ t: "h3", x: "5. The Future: Getting Better, But Not Perfect" },
{ t: "p", x: "There's good news\u2014specialized AI tools are emerging that treat spreadsheets as a unique data type, aiming to understand formulas and structure more deeply. But for now, AI works best as a helpful assistant: it can automate repetitive tasks, flag possible errors, and help organize data. However, it still needs human guidance to ensure accuracy and meaningful insights." },
{ t: "p", x: "AI is a powerful ally for working with spreadsheets, but it's not a magic wand. For accurate calculations and predictions, human expertise and oversight are still essential. Use AI to enhance your workflow, not replace your judgement." },
{ t: "note", x: "Ready to explore AI tools that actually understand numbers and data? While generic AI models struggle with spreadsheets, there are specialised solutions emerging that bridge the gap between AI capabilities and quantitative analysis." },
],
},
"copilot-practical-ai-in-microsoft-365": {
author: "Janey Treleaven | Founder", read: 1,
blocks: [
{ t: "p", x: "by Janey Treleaven, Founder & CEO \u2013 Intelligence Assist, and Joel Zuluaga, Managing Director \u2013 Acrotec (IT Managed Services)" },
{ t: "p", x: "Artificial intelligence is only transformational when it is relevant, trusted, and easy to adopt. At Intelligence Assist and Acrotec we approach Copilot from two complementary angles:" },
{ t: "ul", x: [
"Value & productivity \u2013 Janey explains how Copilot unlocks day-to-day efficiency by meeting people where they already work.",
"Security & privacy \u2013 Joel outlines why Copilot is the safest enterprise-grade assistant for organisations that live inside Microsoft 365.",
] },
{ t: "p", x: "Together, these perspectives show why Copilot is often the quickest, least-risky path to practical AI at scale." },
{ t: "h3", x: "Janey Treleaven \u2013 Why Copilot Delivers Tangible Value" },
{ t: "p", x: "Microsoft Copilot sits inside Outlook, Word, Excel, PowerPoint, Teams, OneDrive, and SharePoint, so staff can tap AI without leaving familiar apps. Compared with standalone tools such as ChatGPT or Claude, that tight integration removes friction and accelerates time-to-value." },
{ t: "table", head: ["Everyday scenario", "Copilot's gain"], rows: [
["Email overload", "Draft, summarise, or re-write messages in Outlook in seconds."],
["Number-crunching", "Generate formulas, build pivot tables, or surface insights in Excel via natural language."],
["Document drafting", "Turn bullet-points into first drafts, tighten wording, or simplify language in Word."],
["Meetings", "Produce real-time summaries and action lists in Teams so nothing is missed."],
["Knowledge search", "Ask a plain-English question and Copilot surfaces relevant files across OneDrive / SharePoint."],
] },
{ t: "h3", x: "When Copilot Is the Right Fit" },
{ t: "ul", x: [
"Your business already runs on Microsoft 365.",
"Staff spend most of their day in Word, Excel, Outlook or Teams.",
"You want to reduce app-switching rather than add yet another tool.",
"You plan to build lightweight internal agents in Copilot Studio (included in the licence).",
] },
{ t: "h3", x: "When It May Not Be" },
{ t: "ul", x: [
"Users only send the odd email and rarely touch the wider Microsoft suite.",
"Field staff work almost entirely in external line-of-business systems.",
"You need an LLM that continuously pulls detailed public or competitor data from the open web.",
] },
{ t: "p", x: "Bottom line: Copilot is rarely the \u201cflashiest\u201d AI tool, but it is the fastest way to put AI in the hands of every Microsoft 365 user\u2014with virtually no change management." },
{ t: "h3", x: "Joel Zuluaga \u2013 Why Copilot Keeps Your Data Safe & Compliant" },
{ t: "p", x: "As an IT managed-services provider, Acrotec is obsessed with minimising risk. Copilot earns our endorsement because it inherits the security, compliance, and privacy controls that already protect your Microsoft 365 tenant." },
{ t: "h3", x: "Built on Microsoft's Zero-Trust Stack" },
{ t: "ul", x: [
"Identity first \u2013 Copilot respects the same Azure AD identities, MFA, and Conditional Access policies you have in place.",
"Data never leaves your tenant \u2013 Prompts, responses, and grounding data stay inside the Microsoft 365 service boundary and are encrypted at rest and in transit.",
"No risky model training \u2013 Your business content is not used to train Microsoft's foundation models.",
"Purview-aware \u2013 DLP, eDiscovery, Insider-Risk, Sensitivity Labels and Retention Policies all extend automatically to Copilot-generated content.",
"Regional data residency \u2013 If your tenant is anchored in Australian data centres, Copilot processes remain there to meet local sovereignty requirements.",
] },
{ t: "h3", x: "Work-Only vs Work + Web Modes" },
{ t: "p", x: "Within each M365 app users can toggle:" },
{ t: "ol", x: [
"Work \u2013 Copilot grounds answers exclusively in your tenant's files, chats and emails. Ideal for confidential tasks.",
"Work + Web \u2013 Adds Bing or web results while still shielding internal content behind Microsoft's enterprise search walls.",
] },
{ t: "p", x: "Admins can lock defaults or disable modes entirely, ensuring the organisation\u2014not the user\u2014sets privacy posture." },
{ t: "h3", x: "Auditable & Governed" },
{ t: "ul", x: [
"Full logging into the Microsoft 365 audit pipeline.",
"Integration with Microsoft Sentinel or third-party SIEMs for threat hunting.",
"Granular role-based controls so only the right teams pilot new features.",
] },
{ t: "p", x: "In short, Copilot allows you to deploy generative AI without lowering the security bar you have spent years raising." },
{ t: "h3", x: "Bringing It Together" },
{ t: "p", x: "Selecting an AI assistant is not solely about raw model power\u2014it is about:" },
{ t: "ul", x: [
"Relevance to everyday workflows (Janey's lens).",
"Reach across all staff without extra log-ins (Janey).",
"Risk management so IT and Compliance sleep at night (Joel).",
] },
{ t: "p", x: "For Microsoft 365 customers, Copilot strikes that balance better than any other option on the market today." },
{ t: "note", x: "Intelligence Assist helps organisations weave AI into processes and culture. Acrotec ensures the underlying Microsoft environment stays secure, compliant, and performant. If you'd like a demo, licence roadmap, or a security readiness check, reach out to either of us\u2014or better yet, both of us together\u2014and we'll tailor a Copilot adoption plan that fits your people and your risk profile." },
],
},
"battle-of-the-base-agents": {
author: "Intelligence Assist Team", read: 7,
blocks: [
{ t: "p", x: "At Intelligence Assist, we help small and medium-sized businesses navigate AI adoption by identifying the right tools, use cases, and implementation strategies. One of the most important early decisions we support is choosing a Core AI tool\u2014the general purpose AI assistant that becomes a foundational part of the organisation's AI toolkit." },
{ t: "p", x: "Here are some examples of Core AI tools we recommend clients consider as part of their AI Foundation:" },
{ t: "ul", x: [
"ChatGPT (OpenAI) \u2013 A strong all-rounder with advanced conversational capabilities and customisation through Custom GPTs.",
"Gemini (Google) \u2013 Best suited for teams already using Google Workspace, with deep integration into Docs, Sheets, and Gmail.",
"Microsoft Copilot \u2013 Ideal for organisations using Microsoft 365, enabling task support and automation inside familiar tools like Word, Excel, and Outlook.",
"Claude (Anthropic) \u2013 Known for its friendly tone, longer memory, and context windows, making it a great option for complex writing and analysis tasks.",
"Perplexity \u2013 A research-focused tool that excels at retrieving and summarising information from the web with source transparency.",
] },
{ t: "h3", x: "Understanding Base Agents" },
{ t: "p", x: "A feature within each Core AI tool is what we call a Base Agent. Base Agents represent the first step into AI augmentation. These are human-triggered assistants designed for a focused task." },
{ t: "p", x: "We define Base Agents as: \u201cConfigurable assistants created inside your Core AI tool, designed to respond to natural language prompts and perform simple, repeatable tasks.\u201d" },
{ t: "p", x: "Examples include:" },
{ t: "ul", x: ["Custom GPTs in ChatGPT", "Gems in Gemini", "Copilot Studio agents in Microsoft Copilot"] },
{ t: "p", x: "These are not fully autonomous agents, but they mark a clear step towards customisable, task-oriented AI support." },
{ t: "h3", x: "Our Base Agent Showdown" },
{ t: "p", x: "With several Core AI tools now offering the ability to build Base Agents, we were curious\u2014which platform delivers the best experience for building and using them? So, we decided to put them to the test in a friendly internal showdown: the Battle of the Base Agents." },
{ t: "p", x: "Three Intelligence Assist team members were each assigned one Core AI tool:" },
{ t: "ul", x: [
"Issey was assigned ChatGPT's Custom GPTs",
"Janey explored Gemini's Gems",
"Sam worked with Copilot Studio",
] },
{ t: "p", x: "To make this comparison fair, we chose a common use case: each person would build a Base Agent to help generate an AI Accelerator description\u2014a task we perform frequently when working with clients. Each team member had from Wednesday until Friday afternoon to build their assistant and prepare a presentation for the rest of the IA team\u2014a tight timeline that reflected real-world constraints." },
{ t: "h3", x: "Judging Criteria" },
{ t: "ol", x: [
"Output Quality \u2013 Assessing the accuracy, clarity, consistency, and presence of errors in the generated results.",
"Ease of Use \u2013 How intuitive and accessible the Base Agent was to interact with.",
"Ease of Development \u2013 How easy it was to build and configure the Base Agent from scratch.",
"Features & Range \u2013 The breadth of actions and functionality the Base Agent could handle.",
] },
{ t: "h3", x: "Bronze Medal: Gemini's Gems (101/200)" },
{ t: "p", x: "Janey's experience with Gemini's Gems revealed some significant limitations, though not without bright spots." },
{ t: "p", x: "Development Challenges: One of the most notable issues was the lack of a natural language option to edit instructions. While Janey could create the first version using natural language, she then had to use Gemini itself to adjust this version into the right format and detail\u2014a cumbersome workaround." },
{ t: "p", x: "Knowledge Base Limitations: Gems struggled with handling multiple types of knowledge files. When provided with a variety of resources (a SEM file about Intelligence Assist, an example AI Adoption Plan with AI Accelerators, example Accelerators, and an Intelligence Assist brochure), performance suffered noticeably. The system worked much better when restricted to just example files." },
{ t: "p", x: "Ecosystem Constraints: As our team doesn't use Google Workspace, it was difficult to fully assess what actions Gems could take within that ecosystem. This highlights an important consideration for businesses evaluating Base Agents\u2014your existing tech stack matters." },
{ t: "p", x: "Future Outlook: Interestingly, we observed that Google may not be investing heavily in Gems development, as they appear to be focusing resources on Agentspace instead. From what we've seen, Agentspace looks promising and could potentially rival tools like Relevance AI, n8n, and Zapier Agents." },
{ t: "p", x: "Output Quality: Despite these challenges, Janey was \u201cvery very pleased\u201d with the actual outputs that Gems produced, suggesting that the underlying AI capabilities are strong even if the development experience needs improvement." },
{ t: "h3", x: "Silver Medal: Microsoft Copilot Studio (108/200)" },
{ t: "p", x: "Sam's experience with Copilot Studio revealed a platform with significant potential but also with a steeper learning curve and some reliability issues." },
{ t: "p", x: "Learning Curve: The development process was not intuitive\u2014Sam had to watch several YouTube videos just to figure out how to use the platform effectively. This indicates a higher barrier to entry compared to other options." },
{ t: "p", x: "Configuration Complexity: While Copilot Studio does allow for natural language instructions, configuring the agent requires navigating through multiple screens to access deeper settings. This multi-layered approach can make development more time-consuming." },
{ t: "p", x: "Reliability Concerns: Perhaps most concerning was that the agent \u201ckept breaking down\u201d during testing, raising questions about its stability for production use." },
{ t: "p", x: "Output Quality: The output was described as \u201cok,\u201d but didn't particularly impress, and Sam noted that the agent \u201cdidn't really learn\u201d from interactions." },
{ t: "p", x: "Integration Advantage: The strongest feature was its seamless integration with Microsoft Teams, making it easily accessible within our existing workflow. However, as Sam noted, this could be considered an \u201cunfair advantage\u201d since we are primarily a Microsoft-oriented company." },
{ t: "h3", x: "Gold Medal: ChatGPT's Custom GPTs (160/200)" },
{ t: "p", x: "Issey's Custom GPT \u201cwon by a landslide,\u201d demonstrating why OpenAI's platform has become so popular for creating customised AI assistants." },
{ t: "p", x: "Intuitive Development: The configuration process was remarkably straightforward. The ability to train and refine the GPT using natural language made development accessible even without technical expertise." },
{ t: "p", x: "Knowledge Integration: Custom GPTs excelled at handling various knowledge sources\u2014Issey could \u201cadd loads of files\u201d through simple copy and paste operations, without the performance degradation seen with Gems." },
{ t: "p", x: "Sharing Capabilities: The platform offers flexible sharing options, allowing distribution either via a simple link or through ChatGPT Teams accounts, making collaboration effortless." },
{ t: "p", x: "User Experience: Both building and using the Custom GPT proved intuitive, with minimal learning curve compared to the other platforms." },
{ t: "p", x: "Overall Performance: The Custom GPT consistently delivered high-quality outputs for our AI Accelerator descriptions task, making it the clear winner in our assessment." },
{ t: "h3", x: "Conclusion: Choosing Your Core AI Tool" },
{ t: "p", x: "Our Battle of the Base Agents revealed significant differences between these platforms, with ChatGPT's Custom GPTs emerging as our decisive winner (160/200), Microsoft Copilot Studio securing a distant second place (108/200), and Gemini's Gems showing promise but requiring significant improvement (101/200)." },
{ t: "p", x: "These findings should inform how you select your organisation's Core AI tool, as Base Agents represent an important capability within these broader platforms. When making your decision, consider these factors:" },
{ t: "ol", x: [
"Organisational AI Strategy: Base Agents are just one element of your AI toolkit, but they can significantly enhance productivity by automating routine tasks. Consider how they fit within your overall AI adoption roadmap.",
"Existing Technology Ecosystem: While Microsoft Copilot Studio benefits from deep integration with the Microsoft 365 suite, our testing shows that this advantage may not outweigh the superior usability of ChatGPT if Base Agents are a priority for your team.",
"Knowledge Management Requirements: If your Base Agents need to draw upon company documentation, product information, or other proprietary knowledge, consider how each Core AI tool handles varied information sources. Custom GPTs demonstrated superior abilities to ingest and effectively use multiple knowledge files.",
"User Experience Priority: For teams without technical expertise, the intuitive development experience of Custom GPTs removes significant barriers to AI adoption, potentially accelerating your organisation's AI journey.",
"Future Flexibility: Consider not just current capabilities but development trajectories. Google's apparent shift toward Agentspace suggests potential future changes in their Base Agent approach.",
] },
{ t: "p", x: "At Intelligence Assist, we're committed to helping organisations make informed decisions about their AI adoption journey. While Custom GPTs won our challenge decisively, the right Core AI tool for your business depends on your specific requirements, existing systems, and strategic goals beyond just Base Agent capabilities." },
{ t: "p", x: "As you continue your AI adoption journey, remember that selecting the right Core AI tool is a foundational decision that will shape how your organisation interacts with artificial intelligence for years to come. Base Agents represent an exciting first step into customised AI assistance, but they're just one factor to consider in your broader AI strategy." },
],
},
};
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