212 articles on innovation, lean startup, and entrepreneurship
AI can sort your question onto the 2×2 and run the experiment ten times faster. Deciding which question to ask — the tacit part, grounded in real customers — is the one call it can't make for you.
The Real Startup Book second edition is online and free to read. The field-tested experiments for finding product/market fit, re-grounded for founders working alongside AI — plus nearly 30 new methods for the AI era.
AI mandates backfire because workers feel replaced. Install agents at organizational hooks (events the work already produces). Measure outcomes, not adoption.
AI agent persona drift is real and measurable. The cheapest debugging tool isn't an eval suite — it's a verbal tic that exists in order to be missed.
We moved our own operations onto agentic memory. Here are four design choices that separate production-grade memory from a single-user markdown file.
Public boards adding 'AI' as a standing agenda item aren't practicing AI board governance — they're marginalizing it. Here's the lens that works instead.
Most companies deploy AI broadly, but only 5-6% report real impact. The problem isn't the technology. It's how we use it. A six-level framework from Bystander to Architect.
LLM personas replicate 76% of known effects but can't surface what you don't know. Here's the research scorecard and a framework for using them well.
A RAG system over your experiment archive lets teams and AI agents retrieve past learnings instantly — so experiments compound instead of repeat.
Most enterprise AI programs fail because companies mistake technology for strategy. Learn to measure experiment economics and compress learning cycles.
AI can accelerate ideation and prototyping, but outsourcing creativity risks mediocrity. Learn to use AI-driven innovation without losing your edge.
Facing nonstop disruption in 2025? Here's real progress worth celebrating and practical tools to help innovation teams stay focused on what matters most.
