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agent cofounder skills · demo build for mila ventures studio
mila-z21
An operating system for agent cofounders.
Built at light speed with coding agents for 18 months — long enough to learn that speed was never the constraint. mila-z21 is the discipline I wish we'd run from iteration one, encoded as six skills.
shape-up × agentslacuna signal layerclaude · codex · hermes
how the thesis got here · 18 months
I raised $1.25M to build fast. Speed was never the constraint.
At Alpaca Network we had a small team and coding agents right as they got genuinely good — Claude Code really accelerating around the Opus 4 era. We built at light speed. It still wasn't enough, and that's the whole point.
JAN 2025
$1.25M, as CTO
Raised the seed. Small but mighty team, betting the company on code-gen leverage.
2025 · BUILD
Light-speed execution
Agents hit their stride around Opus 4. We shipped and pivoted faster than headcount should allow.
+3 MONTHS
40k users
Real acquisition, fast. Proof the team could execute on whatever we pointed it at.
THE CATCH
Wrong traction
Users arrived; durable pull didn't. The early framing had quietly set the ceiling.
THE PIVOT
B2C → B2B
We changed the model under load. Expensive — because the path had already compounded.
$1.25M
raised · CTO @ Alpaca Network
40k
users in 3 months
B2C→B2B
the pivot velocity couldn't prevent
the core thesis · drag the launch angle ●
A few degrees at iteration 1 is a different company by iteration 40.
When agents make building nearly free, the expensive mistakes move upstream — into the first few iterations. Path dependency compounds silently: nudge the launch angle a little, and where you land swings several times as far.
drag the ● — a tiny angle now, a different company by iteration 40
the thesis, evolved · 18 months
What I stopped believing. What I bet on now.
Jan 2025 · the bet I made
Build fast. Iterate to traction.
Coding agents make execution nearly free — so ship, measure, and pivot until something sticks.
True, mechanically. 40k users in 3 months. Still not enough.
→the first few degrees compound
Now · the thesis I bet on
Execution was never the constraint. Direction is.
When building is free, the expensive mistakes move upstream — into the first few iterations. De-risk the path before you commit the team.
Not "ship faster." Choose the angle on purpose, then commit.
Which is exactly what a venture studio exists to do — de-risk the direction before an EIR hour is spent.
the problem, now generalized · not just mine
Agents run in circles faster. Theses queue behind people.
agent failure modes
Scaffolds unshaped ideas — repo in minutes, direction never questioned
40-task plans on day one — imagined work, not discovered work
Builds horizontally — layers and polish before the mechanism exists
Progress theater — file counts and checked boxes that figured nothing out
studio bottleneck
Thesis-rich, team-poor — the gap analysis lists ventures; testing one needs an EIR + founders
De-risking priced in human hours — expensive, serialized, most rows sit unvalidated
Betting on slides — which thesis earns a founder search? Judgment, not evidence
Same cure for both: fixed appetites, shaped bets, vertical slices, honest status — Shape Up's constraints, enforced by the agent itself.
three layers · click each
Signal → Process → Evidence
De-risking as a pipeline stage, not a labor cost — it runs before the humans are committed.
signal · lacuna
Where the gaps are
An open commons of ML research: ~753K papers, 38K directions, 191K authors, 3K open proposals. Machine-readable by design.
→
process · mila-z21
Gap → shaped bet
Six skills run the loop: shape, bet, build, track, hammer, cool down. The agent holds the line at every stage.
→
evidence · dossier
What the Studio bets on
Per thesis: a one-page pitch, a bet record, a hill chart, and a working slice of the riskiest mechanism.
the operating loop · click a stage
Shape → Bet → Build → Cool down
status you can't fake · drag the dots
Uphill: figuring it out. Downhill: just execution.
Agents can fake percent-complete at machine speed — files, commits, checked boxes. The hill asks the only honest question: has anything been figured out?
↑ drag a dot — watch the status language change
fixed time, variable scope · toggle the ~
The deadline is the anvil.
Appetite is capped at 8 units and the wishlist weighs 12. Tag nice-to-haves with ~ until the must-haves fit — or the circuit breaker kills the whole bet.
appetite · 8 units fixed
cutting scope isn't lowering quality — it's how the thing ships whole
not invented — encoded · the venture canon
Standing on the discipline that already works.
mila-z21 doesn't reinvent venture-building. It takes the parts of the canon that de-risk direction and makes a coding agent actually follow them under pressure.
Shape Up · Basecamp
Appetite over estimates
Fixed time, variable scope. Shaped bets, no backlogs, a circuit breaker at the deadline.
→ the spine of all six skills
The Idea Maze
The first turns decide the maze
A venture is a path through a maze of choices; the early turns foreclose the most doors. Path dependency, named.
→ mila-z21-shaping
Product discovery · Cagan
Four risks, hunted early
Value, usability, feasibility, viability — surfaced before the build, not discovered after launch.
→ shaping's rabbit-hole hunt
Working Backwards · Amazon
Write the pitch before the code
Start from the outcome and argue back. The one-page pitch is the artifact you commit to.
→ the shaped pitch + bet
the output artifact · one per thesis
Every gap-analysis row becomes a dossier.
Evidence the Studio's betting table can act on — before an EIR hour is spent, before a founder search begins.
thesis dossiershaped · bet · slicedpitches/example-thesis.md
pitch
Problem · Appetite · Solution
Rabbit holes patched, no-gos declared. Literature-grounded via the Lacuna direction it came from.
bet record
Five questions, one call
Problem matters? Appetite honest? Solution attractive? Right time? Capacity there? — with the agent's own position on record.
hill chart
Scopes + positions
What's solved vs. what's still unknown, riskiest-first — the real state of the technical risk.
working slice
The riskiest mechanism, running
Deployed, end to end. Not a mock, not a deck — the part most likely to kill the venture, proven or broken.
The Studio's mandate, made queryable: bet where Mila's research gravity meets commercial whitespace.
live demo · ~25 minutes
One thesis, whole loop, real artifacts.
02 min
Input
A row from the gap analysis — or a Lacuna direction dense with Mila authors.