01
Workflow map
A concrete map of the fragile AI/devtool workflow: actors, inputs, tool calls, failure modes, handoffs, and the trust gap blocking adoption.
Fixed-scope offer / early AI startups
Two weeks to make one AI devtool workflow reliable enough to ship.
A paid sprint for founders building agent infrastructure, AI IDEs, internal copilots, technical docs, evals, memory, and developer-facing AI product surfaces.
Deliverables
The outcome is a reviewable system surface, not a strategy memo.
02
Shipped module or proof surface
A working product surface, internal module, demo path, technical artifact, or documentation layer that makes the workflow easier to trust and reuse.
03
Validation and handoff notes
Examples, edge cases, acceptance checks, and a concise handoff so the team can keep improving the workflow after the sprint.
Good fit
You are building agent infrastructure, AI IDEs, internal copilots, evals, memory, docs, or applied AI workflow tooling.
The product is technically strong but users, teammates, or buyers still struggle to understand what to trust.
A two-week artifact would help you decide whether to continue as contract, design partner, or founding engineer trial.
Not the right sprint
You only need generic marketing copy, social content, or a visual refresh.
There is no specific workflow, repo, demo, doc, or product surface to inspect.
The main problem is model research rather than applied product reliability.
Operating cadence
A short sprint works when the artifact is concrete from day one.
The goal is to create working evidence quickly: something the founding team can inspect, ship, or use to decide whether a deeper collaboration makes sense.
Day 1
Inspect
Review the repo, docs, demo, user flow, examples, and the workflow that currently feels fragile.
Days 2-4
Frame
Define the artifact, quality bar, constraints, user path, examples, and how we will know the workflow is more reliable.
Days 5-9
Ship
Build the module, docs, diagrams, validation layer, product surface, or workflow packaging.
Day 10
Hand off
Review the shipped artifact, capture tradeoffs, and decide whether the next step is another sprint, contract, or deeper founder-engineer fit.