What Flows just did
Based on your request to build Add Search Functionality to Existing App, Flows created 6 implementation stages and 12 checks.
You asked for: Add a fully functional, persisted search feature that filters items server‑side and remembers recent queries.. Flows generated 6 stages because the application requires Create a new /items/search API that safely filters by name/description.; Add a React SearchBar component with real input handling.; Wire the UI to call the new endpoint and update the displayed list.. 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: AI returns commented‑out or placeholder code instead of real implementations.; Mocked API responses are used rather than actual DB queries.; SearchBar UI contains dummy text or lacks real Tailwind classes..
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
6 stages · 12 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: Can you see the full list of fields for the item…
Add a proof note on each check — a checkbox alone is weak proof.
Probes & advanced tools are under “More verification tools”. Experience level: Settings.
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
Step 1 of 6
Not startedInspect Existing Data Model and API
Identify where the target data lives and how it is currently fetched.
The app is already running; its data is exposed via a REST endpoint GET /items returning JSON array of objects with id, name, description fields.
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
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
- Add Search Functionality to Existing App
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
Use these instructions in Claude, ChatGPT, Cursor, Emergent, or another builder.
1. Open the main repository and locate the file that defines the item data model (e.g., Item.js, schema.sql, or a TypeScript interface). 2. List all fields, their types, and any indexes. 3. Find the client‑side code that retrieves the list (e.g., a fetch call or Axios request). 4. Copy the full URL, request method, headers, and response handling logic. 5. Ensure the snippet includes error handling and state update. 6. Provide a short comment explaining how the data currently populates the UI list.
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 code block showing the exact data model definition and the real fetch implementation used by the app.
Should not happen
- ✕AI returns commented‑out or placeholder code instead of real implementations.
- ✕Mocked API responses are used rather than actual DB queries.
- ✕SearchBar UI contains dummy text or lacks real Tailwind classes.
- ✕Persistence step uses in‑memory variables instead of localStorage.
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…
- !AI returns commented‑out or placeholder code instead of real implementations.
- !Mocked API responses are used rather than actual DB queries.
- !SearchBar UI contains dummy text or lacks real Tailwind classes.
- !Persistence step uses in‑memory variables instead of localStorage.
- !Documentation or commit steps are omitted.
- !Self‑audit PASS/FAIL statements are missing or always claim PASS without verification.
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 AI presented fabricated file names or placeholder URLs. Re‑run the prompt and require the exact existing file paths and real request code without any invented elements.
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.