AI Strategy Consulting: What to Look for (and What to Avoid)
How to evaluate AI strategy consulting firms before you hire one. What good AI advisory looks like, what the red flags are, and why most engagements fail.
Read more →Dispatches on AI, trade, and strategy from the field.
How to evaluate AI strategy consulting firms before you hire one. What good AI advisory looks like, what the red flags are, and why most engagements fail.
Read more →The end-of-SaaS debate is missing the point. The real threat isn't someone copying your product. It's a thousand quiet cancellations from people who discovered they can reach the same outcome themselves.
Read more →What a fractional chief AI officer does, who hires one, and why most companies need a fractional CAIO before they need a full-time AI executive.
Read more →The pilot worked. The demo impressed the board. Then nothing happened. Most AI implementations fail not because the technology doesn't work, but because nobody planned for the humans.
Read more →I spent a week in Guadalajara presenting to 70 livestock genetics professionals about AI adoption. What they taught me about AI change management was more valuable than anything I showed them.
Read more →Both AI coding assistants now share context through a single Obsidian MCP server
Read more →A practical guide to AI implementation and AI change management for established businesses. No hype, no demos that go nowhere. Real AI transformation consulting strategies for leaders who want AI that actually works.
Read more →Using the summarize CLI alongside Claude Code for a smarter AI workflow
Read more →Kevin Roose on the growing divide between AI power users and everyone else
Read more →Vercel's skills.sh lets anyone package expertise as executable skills for AI tools. 20,000 downloads in six hours. Expertise becomes infrastructure.
Read more →I keep a file in Obsidian called "whats-next." It's where tasks, ideas, and random thoughts go to live until I do something about them.
Read more →A scientist friend once told me something that stuck: "The most important words in science aren't 'Eureka, I found it.' They're 'Hmm, that's funny.'"
Read more →Real-world AI workflow automation using Claude Code. How I completed a 10-tool workflow in two hours without opening a single interface—and how you can too.
Read more →Learn how to create a CLAUDE.md file for Claude Code setup. Includes a free template and step-by-step guide to building the context infrastructure that makes AI actually useful.
Read more →Anthropic Cowork brings Claude Code's power to everyone. Same capabilities, accessible interface. The future of computing without 1985 vibes.
Read more →Thanks to Caroline Leroux and the International Poultry Council for inviting me to join the global team of expert speakers and panelists in Atlanta on January 25–26.
Read more →I sent a study to close to 2,000 newsletter subscribers. Got some furious emails back. Unsubscribes. Barely contained anger.
Read more →Early start this morning. On my way to Washington, DC to meet with one of our synthetic research pilot clients for feedback and training.
Read more →Learn how to use Claude Code to replace browser tabs, automate workflows, and transform AI from a chatbot into infrastructure you work inside daily.
Read more →U.S. government flipped food pyramid. Synthetic research shows immediate skepticism, trust erosion, and zero behavior change planned.
Read more →Claude Code builds functional prototypes faster than mockup sites render fake screenshots. The gap between showing and building collapsed to zero.
Read more →Food Industry Executive coverage signals shift from 'is AI research real' to 'how do we implement this correctly.' That's progress.
Read more →Focus groups give you performances, not insights. We tested the same product both ways and got radically different results.
Read more →Tested 16 buzziest 2026 food trends with synthetic personas. Five are real, nine need proof, two are pure hype. Most don't move product.
Read more →We tested the 2026 beef tallow trend with digital twins. Reality check: consumers aren't swapping olive oil for steakhouse smells.
Read more →Built synthetic research platform when good data was too slow and expensive. Now 95% alignment with human panels at fraction of cost.
Read more →Tested Whole Foods' fiber trend prediction with digital twins. They got the direction right but missed key nuance: consumers want real food.
Read more →LinkedIn has a content pollution problem. Three phrases dominate: 'But nobody talks about this,' 'Breaking,' and 'How to win at GEO.'
Read more →Building AI tools for food and agriculture that solve real problems: faster research, better data, and accessible insights for critical decisions.
Read more →The question isn't whether AI can do research. It's whether you're using rigorous methodology, proper calibration, and validation.
Read more →Monthly consumer sentiment tracking across Canada and the U.S. reveals what official economic indicators miss about real spending behavior.
Read more →Consumer sentiment dropped to 58.2 while GDP hit 3.0 percent. The disconnect reveals how people make buying decisions during economic uncertainty.
Read more →U.S. organizations treat innovation as competitive advantage. Canadian groups too often gatekeep. The gap shows up in outcomes.
Read more →Here's why synthetic research will be the new normal 12 months from now: your "definitive" market report is often outpaced before the deck hits the table.
Read more →Less than one percent of Yukon's government food spending goes to local farmers. A missed opportunity for food security and local economy.
Read more →Wittington launches $100M fund for Canadian food security. $5-10M deals focused on infrastructure and everyday essentials, not sexy tech.
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