Agent-to-Agent Systems Are a Different Game
Multi-agent AI is org design, not bigger prompts. Handoff contracts, verification harnesses, compounding errors, observability, when to stay single-agent.
Writing
Venture Building
Essays and frameworks in Venture Building. 20 pieces.
AI Is Rewriting the Venture Building Framework
Generation got cheap, so validate-build-scale compresses into fast loops. What changes for venture builders, what stays true: markets, trust, unit economics.
Decision Making in the Age of AI
Information is free now, judgment is not. Which decisions stay human, why decision latency is the real bottleneck, and how to choose among AI options.
Emergent Patterns in Venture Building
Useful patterns form at boundaries. How to notice them early, build adaptive product and org architecture, and double down on what works.
From MVP to MVP Loops: Testing Ventures Continuously
The MVP became a standing loop. How to run continuous thesis testing with written hypotheses, learning velocity metrics, and honest kill decisions.
Human Judgment Is the Scarce Layer
Execution got cheap. Deciding what deserves it did not. Where judgment concentrates in AI-native ventures, and how to hire, price for, and protect it.
In the AI Era, Clarity Is the Product
AI buyers drown in options. What they buy is clarity: precise problem framing, honest scope, and proof. How ventures build and sell decidedness.
Maps That Tell the Speed of Change
Most roadmaps show position, not velocity. Leading versus lagging signals of change, and how to read how fast your market is actually moving.
How to Navigate a Changing System
Navigation beats prediction. Build sensing loops, test what has to be true before trusting change, and adjust course without losing the mission.
Pattern Recognition in Venture Building
A practical stack of technical, design, and growth patterns: how to recognize them, translate the mechanic, and reuse them across contexts.
Slowing Down Is a Capability, Not a Delay
Fast teams install deliberate slow-modes: named decision gates, pauses before irreversible commits, taste formation, and post-mortems that actually calibrate.
The New Venture Stack: Small Teams and Agent Fleets
The default startup team is now a few seniors directing agent fleets. What the stack contains: harnesses, evals, review surfaces, orchestration.
The Portfolio View of Venture Building
Stop betting on one venture. Run small parallel bets, decide kill or scale on evidence, and let AI carry the cost of running several at once.
The Venture Builder's Operating Manual for the Agent Era
The practical playbook for agent-era ventures: weekly cadence, harness-before-autonomy, fast and slow modes, clarity artifacts, and maturity stages.
The Venture Builder Playbook
Design meets development in venture building: integrated validation, MVP architecture, team evolution, and systems that scale without silo tax.
Validation at Machine Speed, Evidence Still Decides
Agents compress discovery from weeks to days, but fake evidence got cheap too. Standards that keep validation real: pre-registration, paid pilots.
Venture Building Runs on Loops of Experts
Expertise compounds when it circulates: critique loops, decision reviews, rotation between ventures, and judgment codified into checklists agents can execute.
How Venture Studios Work
How venture studios are structured, how they operate, tradeoffs vs incubators and VCs, and how to evaluate fit as a founder.
What Is Value When Generation Is Cheap
When anyone can generate anything, value moves to trust, distribution, integration, and picking the right thing to build. Output is not value.
Why Partner with a Venture Studio
Solo path or studio partnership? How shared operators, infrastructure, and faster learning loops buy down startup risk without erasing founder vision.