Ideas & thinking.
On AI, team collaboration, software delivery, and the future of knowledge work.
Stop Losing What You Already Know
Your best thinking happens in conversations — then it evaporates. It isn't a communication problem. It's a context problem.
Most Rework Was Predictable. You Just Lost the Context.
Projects don't fail at delivery. They fail at definition — and the risk was knowable at scope time.
Why Projects Fail at Requirements (And What Teams Are Doing About It)
Most project failures are seeded in the first two weeks. The scope isn't wrong at delivery — it was never properly defined at the start.
They Learned Everything. Then They Left.
When intelligence is personal, it's a flight risk. The team has to be the unit of intelligence — by architecture, not by policy.
The Proposal That Writes Itself: How Sales Teams Are Closing Faster with Context AI
A proposal that takes two days to write from scratch takes two hours when it's built from the client's own words. Here's how context-driven proposals are changing sales cycles.
Curated Beats Collected: Why a Bigger Knowledge Base Isn't a Smarter One
Most teams measure their knowledge base by how much it holds. The teams that win measure it by how much they trust.
Every Client Conversation Is Intelligence: The Case for AI-Powered Discovery
Sales teams are sitting on a goldmine of client intelligence locked in call recordings, emails, and voice notes. Here's what happens when AI can finally read it all.
The RAID Log That Prevents the Post-Mortem
A risk register filled in afterward is a compliance document. One built from context at scope time is a planning tool. The difference is everything.
Inherit the Room, Not the CRM Note
When a new person joins a client account, they inherit a thin trail of notes. They should be inheriting the entire relationship.
Why Your Sprint Backlog Is Broken (And How Shared AI Fixes It)
Sprint planning is broken before the meeting starts. The problem isn't the process — it's that the backlog is assembled by hand from context that was never properly captured.
From Brief to Build: How AI Is Closing the Requirements Gap in Software Delivery
The average software project loses 30% of its context between discovery and development. Here's how AI-generated requirements are changing that.
The Myth of the Personal AI Assistant: Why Teams Need Shared Intelligence
Individual AI tools create invisible silos. The next competitive advantage isn't giving every employee their own AI — it's giving every team one shared brain.