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Flows

What Flows just did

Based on your request to build Design the Agent-Computer Interface (ACI), Flows created 5 implementation stages and 15 checks.

You asked for: Redesign my agent's tool surface as a deliberate ACI: constrained commands, model-friendly viewers, and feedback formats that guide the next action.. Flows generated 5 stages because the application requires An audit of current tools against ACI principles (simplicity, feedback quality, guardrails); A file viewer with windowed output, line numbers, and navigation state; Edit commands with built-in validation feedback (lint/syntax check on write). Each stage tells your AI builder what to do, tests whether it actually worked, and gives a repair instruction when it fails. These checks are designed to catch: Giving the model a bare shell and calling it an interface; Tool outputs that dump thousands of lines and drown the signal; Edits that silently corrupt files because nothing validated them.

Example failure

The form reported success, but no database record was created.

What Flows does

Flows detects the failure, generates a repair instruction, reruns the test, and stores the passing evidence.

Stages — Plan → Build → Test → Fix → Prove → Ship

5 stages · 15 checks · progressive disclosure — open a stage for details

Copy to external builder

Copies a prompt for Claude/Cursor/etc. Records prompt_copied only — not execution, commits, or checks.

Execute through Oort

Requires Sign in with Oort + a provider connection (BYOK). Keys stay on Oort. A model name in the dropdown is not the same as a live connection.

Next

Check off: Every tool has output-size data

Add a proof note on each check — a checkbox alone is weak proof.

Probes & advanced tools are under “More verification tools”. Experience level: Settings.

Design the Agent-Computer Interface (ACI)
Agent Architecture90-120 minutes

Project (saved with proof)

Project binding: Unbound — complete project binding before trusting this run · missing repositoryUrl, repositoryStartCommit, environment, stack

More verification tools (probes, timeline, adapters)Show

App persistence (create → read → assert token)

Body template: {"probe":"{{token}}","title":"flows-probe-{{token}}"}. Needs CORS-readable public create/list endpoints (or inconclusive). Badge only when create→read→refresh finds the token (detects false success).

Two-account authorization (User B cannot see/change User A)

Authorization evidence source: Cross-account ownership test (trust level 5/6). These are not equivalent. Unauthenticated probe alone is weaker (source: unauthenticated API probe). Tokens stay in this browser session only — not uploaded to Flows servers.

Generated edge-case tests (review / approve)

  • api_probe Submitting the form empty is rejected with a clear error
  • api_probe Each required field can be omitted and fails validation
  • api_probe Malformed email is rejected
  • api_probe Malformed phone is rejected when phone is collected
  • api_probe Duplicate submission does not create two records
  • api_probe Double-click submit creates only one record
  • false_success_probe Failed request does not show success
  • browser_automation Refresh during submission does not leave corrupt state
  • api_probe Oversized input is rejected
  • api_probe Unsafe strings do not execute or break storage
  • api_probe Create then refresh still shows the record
  • api_probe Edit then refresh keeps the edit
  • api_probe Delete then refresh removes the record
  • api_probe Nonexistent record ID fails cleanly
  • cross_account_probe Cross-user record identifier is rejected

Generated from this route’s signals — you approve; you do not invent security tests.

Content probe (GET body contains text)

In-product content probe reads response text when CORS allows — not full DOM/click automation. Playwright script is optional and external.

Proof strength

thin · 0/100

Heuristic from notes + probes + gates — not a production certification.

Verification adapters

  • Deploy URL probe · idle
  • API path probe · idle
  • Authz probe (unauth → 401/403) · idle
  • Browser persistence · idle
  • App persistence (create→read) · idle
  • Content / body text probe · idle
  • In-product Playwright DOM · not embedded (download external script)

Filled circles = available here. Empty = not shipped. Probes are not a production audit. Adapter docs

0/5 steps0%
Recording plan identity…

Step 1 of 5

Not started

Audit your current tool surface

You cannot design an interface you have not honestly measured.

Flows keeps plan, checks, failures, and next steps connected

Your AI tool writes or changes the code

Repository grounds the plan only after inspect

Checks always carry a validation tier

Not checkedChecks not locked

How this plan was created

Plan from project details

Flows creates steps using the goal, requirements, stack, platform, and details you provide.

  • Project description
  • Selected template / route
  • User-entered stack
  • Constraints and notes
  • Design the Agent-Computer Interface (ACI)

No repository inspection implied. Connect and inspect a codebase to ground steps in real files.

Codebase access

Checking GitHub…

Or paste a repository URL manually
Plan instructions

Use these instructions in Claude, ChatGPT, Cursor, Emergent, or another builder.

Audit my agent's current tools against ACI principles. For each tool record: typical output size in tokens, whether output is bounded, whether errors state a cause and suggested next action, whether misuse is guarded (e.g. editing a file never read), and 2-3 transcript examples where the tool confused the model. Score each tool 1-5 on model-friendliness. Research context: SWE-agent found that command simplicity, output windowing, and informative feedback measurably raise task success; raw shells underperform purpose-built commands. Deliver the audit as a table with a fix priority order.

The AI tool writes code — Flows only organizes the plan · Complete implementation prompt with explicit requirements

Project context

Copies the project goal, technical details, current step, previous progress, and checks so your AI tool understands what it is working on.

Expected after this step

A scored tool audit with prioritized fixes.

Should not happen

  • Giving the model a bare shell and calling it an interface
  • Tool outputs that dump thousands of lines and drown the signal
  • Edits that silently corrupt files because nothing validated them
  • Error messages written for humans (stack spew) instead of models (cause + next step)

Verify gate — prove this step works before continuing

Do not move on until every check is true. Add proof notes — a checked box alone is weak proof. Checks are manual by default; deploy/API probes live under “More verification tools” and do not auto-check boxes.

Do not continue if…

  • !Giving the model a bare shell and calling it an interface
  • !Tool outputs that dump thousands of lines and drown the signal
  • !Edits that silently corrupt files because nothing validated them
  • !Error messages written for humans (stack spew) instead of models (cause + next step)

Repair path — if this step fails

Use the Repair Prompt when a verify gate fails. Loop: Detected → Diagnosed → Repair issued → Changed → Retested → Resolved

Show repair prompt textShow

The audit lacks evidence. Pull five recent failed transcripts and trace each failure to the tool interaction that caused it - then rescore.

Your notes for this step

Definition of Done

Final route-level requirements. Manual checks — separate from per-step verify gates. Completing step gates does not auto-check these. Route completion is not a production-ready claim.

0/4 · manual