Your app, exercised.
We launch it and run checks across your code and key workflows.
Built with AI? Bring your project.
Factory launches your app, checks your code and workflows, and records what happens. You get an evidence-backed HTML report with findings and clear next steps.
A preserved catalog spanning checkout, access, credits, retries, webhooks and delivered output.
Factory exercised replay, concurrency, authorization, provider failure, browser interruption and checkout-return cases across the repaired application.
Repeated purchase events stayed idempotent across sequential, parallel, restart and alternate-event-ID replays. Credit balances did not receive a second award.
With one credit and two concurrent requests, one completed and the other received the payment-required response. A different purchaser could not change the original owner’s task, and a spoofed owner field did not move debit or output to another account.
Provider failure left credits and outputs unchanged. A lost response or browser disconnect still left a committed result owner-readable after fresh login.
Your next product launch, customer demo, or investor meeting deserves more than “it should work.”
We launch it and run checks across your code and key workflows.
Findings connect to observed behavior and supporting evidence.
See what needs attention and what to verify next.
Independent reference examples. Platform names do not imply affiliation or endorsement.
Pick one, two, or ten Snapshot runs, or choose deeper validation.
Your confirmation includes your package details and submission link.
Share your code and the instructions needed to understand it.
Explore the findings, recorded evidence, and recommended next steps.
Bring your exported code.
Your code. Your stack.
Findings backed by evidence.
| Languages | JavaScript · TypeScript · Python |
|---|---|
| Frontend | React · Next.js · Vite |
| Backend | Node.js · FastAPI |
| AI frameworks | Vercel AI SDK · LangChain · LangGraph · OpenAI Agents SDK · ChatKit |
| Model integrations | OpenAI Chat Completions, Responses & embeddings · Anthropic Messages & streaming · Vercel AI Gateway |
| AI workflows | Chat · Streaming · Structured output · Document workflows · Retrieval · Agents & tool calls |
| Data & retrieval | PostgreSQL · Supabase · Embeddings & vector retrieval |
| Package managers | Bun · pnpm · Yarn · uv |
| Project files | package.json · npm, pnpm, Yarn & Bun lockfiles · pyproject.toml · uv.lock |
| Container environment | Linux x86-64 · Docker/OCI images · Isolated execution through rootless Podman |
| Application sign-in | Email/password test accounts · Native guest sessions |
| Voice & realtime | OpenAI Realtime API · Agents SDK · Streaming voice · Tools · Agent handoffs |
| Computer use | OpenAI Responses API · Playwright · Browser actions · Screenshot feedback |
| Submission | Project source ZIP |
AI verification: Factory exercises native SDK integrations using controlled synthetic model responses. Each report identifies the provider configuration used.
Runtime setup: Factory configures the application environment. Custom Dockerfile and Compose setups receive configuration review.
Access setup: Test accounts and application-specific settings are configured for the selected workflow.
Each project’s verification establishes its exact supported combination.
Sound familiar?
“paying twice sometimes three times…”r/replitRead the post
“all the time you saved is gone.”r/cursorRead the post
“fix, test, fix, test, fix over and over…”r/lovableRead the post
“more time guiding and debating with Claude Code…”r/ClaudeAIRead the post
Excerpts from public community discussions.
Demand proof before you fund the next fix.
A great place to start.
For a closer look.
For ongoing development.
A deeper look.