Wedge over platform
One sharp capability that earns retention before you fund a lab.
Early-stage · experimental · ship-shaped
Plant the AI seed that compounds
One sharp capability. Acceptance tests. Cost caps. A two-week window so experiments become product — not a demo graveyard. Speed when the spark needs it; kill criteria when it needs an exit.
Spark Soil Sprout Grow
01 SparkHypothesis + user who feels it
02 SoilEvals, caps, kill criteria
03 SproutTwo-week ship window
04 GrowHandoff your team can water
Why seed, not "platform"
Early teams don't need a multi-agent monorepo. They need one wedge users return for — measured, capped, and ready to expand.
Eval from day zero
Know if it works before you scale spend or hire a prompt team.
Founder-friendly price
Fixed sprints, clear kill criteria, no open-ended retainers to start.
Path to product
Handoff docs and code your engineers can keep growing.
What we plant with you
Sprint
Seed sprint
Two weeks to a measured AI wedge in production-ish shape.
Design
Experiment design
Hypotheses, metrics, stop rules — so polite failure ends early.
Harden
Prototype hardening
Turn a dazzling demo into something supportable on Monday.
Story
Investor-ready narrative
Technical story that matches the build — no vapor metrics.
Field notes from the greenhouse
Choosing an AI seed wedge
Test one user job and risky assumption before committing to a full product build.
Kill criteria for AI experiments
Set a decision date, budget, quality floor and continue-change-stop rules before the demo.
From seed to build sprint
Use evidence about user pull, workflow fit, quality and operating cost to scope the next build.