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 MOIGNEUBuilding 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.
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.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.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.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.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.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.
Get the AI
Reality Check.
Our monthly newsletter. One email with the most useful things we've learned, built, or thought about in AI this month. Zero filler. Unsubscribe anytime.
We respect your inbox. One email per month, no spam, no selling your data.
Move from reading to practice
Turn the useful idea into working practice.
Bring one leadership challenge. We will shape the training around the work your team actually carries.
Book a training consultation