Insights on
Building Outcomes
Everything Is About to Change (and That's Why We Build)
When Greg Isenberg dropped his 'what's keeping me up at night' thread, I felt urgency. This is the moment we've been building for - turning AI chaos into durable structure, workflows into leverage, and experimentation into endurance.
The Proof Layer (Prelude): How AI-run companies earn trust without slowing down
Observability explains, receipts prove. Learn why AI operations need verifiable proof cards before trust breaks at scale.
Old Way vs. New Way: Why Agentic Delivery Is the Real Leap Forward
AI delivery isn't about writing better prompts. It's about building better loops. Here's what shifts when teams move from prompted coding to agentic delivery.
The Agentic SDLC: Turning AI from Tools into Teammates
We've spent the past year re-architecting how software gets built - not with more copilots, but with a governed, observable, end-to-end agentic workflow. This demo shows what that actually looks like in motion.
Spec Debt: The costliest new tech debt in the age of AI agents
Treat every line of human implementation as a spec alarm. Define rules (specs, policies, evals, risk tiers), let agents play the game, and erase spec debt.
Bridging the GenAI Divide - Our Take on MIT's 2025 AI Report
MIT found that 95% of organizations get zero return from GenAI. We break down why companies stall and what crossing the divide actually looks like.
The next wave is here
Unveiling the new BlueFolders brand - the visual identity for a venture studio built to launch AI-native companies, born to scale, born to endure.
OutcomeOS™ Data Sheet: The Agentic Operating System for AI-Native Ventures
A comprehensive overview of OutcomeOS™ - the platform that orchestrates human expertise, AI agents, and governance to build and scale AI-native companies with velocity and precision.
Hell yeah! I'm officially launching Bluefolders.ai
Today marks the start of something I've been building toward for more than 15 years. An AI-native venture studio that orchestrates AI agents, human operators, and real-time validation to launch fundable companies with velocity and precision.
Retrieve → Relate → Run: Why Context Mesh Is the Missing Pattern
"Just vectors" is table stakes. Great AI assistants need three layers: Vectors to retrieve, Relationships to explain, and Workflows to deliver. Moving from cool demos to changes in main.