Run AI agents through
the workflow you trust.
The AI software delivery control plane.
Your AI agents adopt the collaborative workflow your team already follows,
with an audited record of every change. You and your team stay in control.
No migration. Human-governed. Bring your own agents.
The problem
AI writes code. Control is the hard part.
Intake, approvals, QA, docs, release: that's most of the work. And when an agent does it, the reasoning behind it usually vanishes.
Work stalls in handoffs
Specs land, eng asks three questions, two days gone.
The why gets lost
When an agent makes the change, the reasoning behind it vanishes.
Your docs go stale
Written once, stale a month later. Nobody trusts them.
AI stops at the IDE
Copilot writes a function. Cards, tests, docs, and the record are still on you.
How AI StackWorks is built
The card, and the vault.
The card is where work happens. The vault is where context lives.
The card
Every card is a workspace. Plan, code, tests, and review, all in one place. Your agents read from it. Your team reviews it.
The vault
Every project gets a memory. Specs and decisions are written as cards ship, so the next one starts smarter than the last.
What makes it different
The execution record.
A dashboard shows status. An execution record proves what shipped, why, and under whose approval. Every change carries its own: the plan, the approval, the agent run, the PR, the tests, the docs it touched, and the reasoning behind each step.
Planned work
A card becomes a governed delivery loop. Plan, approval, agent run, PR, tests, docs. Gated where it matters, recorded the whole way.
Autonomous work
Where we're headingIncreasingly, agents will fix work and ship straight to production. AI StackWorks writes the card and the reasoning after the fact, so the record stays complete.
Don't lose the why.
When a person does the work, the reasoning lives in card comments and PR threads. When an agent does it, that thinking normally disappears. AI StackWorks captures it back into the card, the system of record, and your docs, so you can trust it today and refer back to it for years.
How work moves — and gets recorded.
Three stages. Agents drive the work. Humans hold the gates.
Plan
Paste a doc, a Slack thread, or a one-line idea. The agents triage it against your vault and draft a Plan. You approve.
Build
Agents open a PR, run QA against your acceptance criteria, and iterate until the verdict is green.
Ship
You click Ship. The PR merges. The vault and record capture what shipped and why, so the next one starts smarter.
The honest question
Why not just Cursor or Codex?
Coding agents write code. They don't govern how it ships. AI StackWorks does.
Coding agents
- Run in their cloud, on their models.
- Single-player — reasoning stuck on one machine.
- Write code in the IDE or a PR.
- Stop at the edge of the editor.
- Leave intake, approval, QA, docs, and the record to you.
AI StackWorks
- Run agents locally — your infrastructure, your models.
- Multiplayer — shared planning, pooled resources.
- Run any agent through your existing workflow.
- Keep humans in control with gates where they matter.
- Record every change, down to the reasoning.