Executive briefings
The honest take on working with AI.
Clear conclusions for leaders who need to decide what to learn, what to change, and what to ignore.
WRITTEN BY GUILLAUME MOIGNEUThe Telos framework: a practical guide to specifying your life for the AI era
A step-by-step guide to building your own Telos file. The personal specification document that makes you a clearer thinker and gives AI agents the context they need to actually help.
Specify your life: why the people who document everything will win the AI era
AI agents don't fail because the technology is broken. They fail because we never learned to specify what we actually want. Turns out, neither did most of our teams, our companies, or our personal lives.
Guillaume M.What 'AI-ready data' actually means for a 50-person company
Most small businesses have enough data for AI already. The problem isn't volume, it's organization. Here's what 'clean data' actually means in practice.
Guillaume M.Building a RAG system your team will actually use
Most RAG systems fail at adoption, not architecture. Here's how to build one that people actually prefer over their old way of finding information.
Guillaume M.What AI actually is (and isn't): a guide for business owners
A no-hype guide to what AI tools actually do, what they're good at, what they're bad at, and where the line is for small businesses.
Guillaume M.How to run your first AI pilot project without burning your budget
A practical guide to running your first AI pilot project. How to pick the right use case, scope it, set a budget, and measure whether it actually worked.
Guillaume M.Stop calling everything 'AI-powered'
The 'AI-powered' label has become meaningless. Here's how to spot real AI capability vs. buzzword abuse when you're buying tools.
Guillaume M.How we build AI agents that actually work in production
Demo agents are easy. Production agents are hard. Here's how we build AI agents that survive contact with real users, real data, and real business stakes.
Guillaume M.How to structure your company data for AI without a data engineering team
Most companies don't need a data engineering team to get AI-ready. Here's how to organize your data well enough to make AI tools actually work.
Guillaume M.What the EU AI Act means for your business (a plain-language breakdown)
The EU AI Act sounds intimidating but most SMBs have less to worry about than the headlines suggest. Here's a plain-language breakdown.
Guillaume M.Anatomy of an AI pilot that pays for itself in six weeks
A good AI pilot costs $10-15K, targets one repetitive task, and proves its value in six weeks. Here's what each week looks like.
Guillaume M.A practical guide to AI for marketing teams under 10 people
Small marketing teams can save 8-15 hours a week with the right AI workflows. Here are the specific tools and daily routines that actually work.
Guillaume M.Why most AI implementations fail (and what to do instead)
Most AI projects don't fail because the tech is bad. They fail because of three avoidable mistakes that have nothing to do with artificial intelligence.
Guillaume M.Why your AI chatbot failed (and what to build instead)
Most AI chatbots get abandoned within 90 days. Here's why they fail and what customer-facing AI should actually look like.
Guillaume M.AI won't replace your team. Bad AI adoption might.
The headlines say AI is coming for jobs. The real threat is botched rollouts that waste budgets, erode trust, and make teams resist every future change.
Guillaume M.The first 90 days of AI adoption: what to expect week by week
AI adoption follows a predictable pattern. Weeks 1-2 are exciting. Weeks 3-4 are painful. Here's what to expect at each stage and what to do about it.
Guillaume M.Guardrails and safety: building AI systems your business can trust
Practical AI safety for businesses: content filtering, hallucination prevention, human-in-the-loop workflows, and building trust gradually.
Guillaume M.AI memory and context: what it means for business applications
LLMs don't remember anything by default. Here's how context windows, memory systems, and retrieval patterns actually work in business AI.
Guillaume M.The real cost of running AI in production: what to budget for
Beyond the sticker price: API costs, infrastructure, maintenance, monitoring, and the hidden expense nobody budgets for.
Guillaume M.What AI-powered document processing actually looks like for a 40-person company
A realistic walkthrough of AI document processing for a mid-size company. Tools, costs, setup time, and why the first two weeks feel slower, not faster.
Guillaume M.How to talk to your team about AI (without causing panic)
Introducing AI to your team? How you communicate matters more than which tools you choose. Here's a framework for honest, productive conversations.
Guillaume M.Your company probably doesn't need a custom AI model
Custom AI models sound impressive. For 90% of small and mid-sized businesses, off-the-shelf tools and better prompts will get you further, faster, and cheaper.
Guillaume M.Choosing the right LLM for your business: GPT-4, Claude, Gemini, and the rest
Benchmark scores don't tell you which model to use. Cost, speed, reliability, and your specific task do. Here's how we choose models for real deployments.
Guillaume M.AI predictions for 2027: what we're confident about and what we're guessing
Our AI predictions for 2027, honestly labeled by confidence level. Some we'd bet money on. Others are informed speculation.
Guillaume M.What happens when a 5-person marketing team adopts AI tools
A realistic walkthrough of AI adoption for a small marketing team. Week-by-week timeline, real tool costs, and what typically sticks versus what gets dropped.
Guillaume M.AI agents explained: what they do, when you need one, and when you don't
AI agents are everywhere in the headlines. Here's what they actually do, when they're worth the investment, and when a simpler tool does the job better.
Guillaume M.Advanced prompt engineering: chain-of-thought, few-shot, and structured output
Basic prompting gets you 60% of the way. These three advanced patterns close the gap between 'sometimes useful' and 'reliably integrated into your workflow.'
Guillaume M.What AI-assisted customer onboarding looks like at a mid-size company
AI can handle triage, scheduling, and FAQ responses during onboarding. But the moments that build loyalty still need a person. Here's what the split looks like.
Guillaume M.AI governance for small businesses: you need less than you think
You don't need a 50-page AI policy. You need four things: a usage policy, a data agreement, human review rules, and a tool inventory.
Guillaume M.What a good AI training workshop actually covers (and what happens after)
A walkthrough of what a half-day AI workshop covers, what exercises the team does, and why the follow-up support matters more than the training itself.
Guillaume M.Why transparent pricing matters in AI consulting
Most AI consultancies won't tell you what they charge until you're on a sales call. Here's why that's a problem and why we do it differently.
Guillaume M.The best AI strategy for most businesses is embarrassingly simple
The best AI strategy for most businesses fits on a napkin. Pick one painful process, test a tool for two weeks, measure results, decide.
Guillaume M.What AI can realistically do for a 20-person professional services firm
A 20-person consulting, legal, or accounting firm can save 15-25 hours per week with AI. Here's where the savings come from and what it actually costs.
Guillaume M.The AI tools landscape in 2026: a business buyer's guide
An honest assessment of the major AI platforms in 2026. Who each tool is for, what's genuinely improved, and what's just been rebranded.
Guillaume M.What your team needs to know about AI before you buy anything
Most failed AI projects don't fail because of the technology. They fail because the team wasn't ready. Here's what AI literacy actually means and why it comes before tools.
Guillaume M.The first 5 AI tools every small business should try
Five AI tools worth trying if you run a small business, with honest assessments of what each does well, where it falls short, and what it costs.
Guillaume M.How to measure AI ROI when the results aren't obvious
Not all AI value shows up on a timesheet. Here's a framework for measuring quality, speed, satisfaction, and error reduction over 90 days.
Guillaume M.The problem with AI demos that work perfectly
AI demos are designed to impress. Production is designed to survive. Here's how to evaluate tools beyond the polished pitch.
Guillaume M.The vendor lock-in problem nobody talks about in AI
AI tools create dependency faster than you'd expect. Here's what vendor lock-in actually looks like for SMBs and how to protect yourself.
Guillaume M.Why we tell a third of our prospects not to buy AI yet
About a third of the businesses that contact us aren't ready for AI. Telling them that honestly is the best thing we can do for them.
Guillaume M.How to use AI for customer service without losing the human touch
AI works best in customer service when it handles triage and first responses while humans handle complexity and empathy. Here's how to set it up right.
Guillaume M.What building a company knowledge base with AI looks like from day one
Building an AI knowledge base isn't a moonshot. Here's the realistic timeline, real costs, and the adoption challenge nobody warns you about.
Guillaume M.The AI skills gap is real, but training fixes it faster than you think
62% of organizations say lack of training is their biggest AI barrier. A well-designed four-week program can change that. Here's how.
Guillaume M.From 15 hours to 3: what automating weekly reporting with AI looks like in practice
A realistic walkthrough of automating weekly reporting with AI. From manual spreadsheet wrangling to connected data sources and AI summaries in 90 days.
Guillaume M.30 AI terms you actually need to know (and 20 you can ignore)
A no-jargon glossary of AI terms for business owners. 30 terms that matter for buying decisions, and 20 you can safely skip.
Guillaume M.The hidden costs of 'free' AI tools
Free AI tools aren't free. You pay with your data, your team's habits, and eventually your wallet. Here's how to evaluate the real cost.
Guillaume M.AI automation vs. AI augmentation: why the difference matters
Most SMBs should start with AI augmentation, not automation. Here's why the distinction matters and how to decide which approach fits your business.
Guillaume M.How to evaluate an AI tool without a technical background
A framework for evaluating AI tools when you're not technical, covering what to test, what to ask vendors, and what red flags to watch for.
Guillaume M.Building AI workflows that connect to your existing tools
AI doesn't work in isolation. Here's how to connect it to your CRM, email, Slack, and everything else without overengineering it.
Guillaume M.Sometimes the right answer is 'don't buy AI': three scenarios where simpler tools win
Three realistic scenarios where companies didn't need AI. A spreadsheet fix, CRM training, and a Zapier automation each solved the problem at a fraction of the cost.
Guillaume M.How to write prompts that get useful results
A non-technical guide to writing better AI prompts, with real business examples and before-and-after comparisons that show the difference.
Guillaume M.System prompts that work: patterns from real deployments
Most system prompt advice is too abstract. Here are concrete patterns from production deployments: role definition, constraints, output formatting, and error recovery.
Guillaume M.
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