VibeRaven
How to Build a Production-Ready AI Workflow
A production-ready AI workflow scans before broad agent prompts, fixes one launch gap at a time, and verifies with tests or provider checks. VibeRaven is the pre-launch gate: run `npx -y viberaven --agent-mode` to map auth, billing, database, deploy, and monitoring evidence into a Mission Map and the next scoped coding-agent prompt.
Why this page matters
Most builders alternate between “make it production ready” prompts and manual checklists without a loop. That wastes agent context and misses cross-cutting gaps—RLS, webhooks, env vars, and monitoring—that span multiple files and dashboards.
Production-ready AI workflow steps
- Scan the repo with VibeRaven before asking for another broad production pass.
- Read the Mission Map and pick one evidenced gap—not the loudest symptom.
- Prompt your coding agent with files, expected behavior, and a verification command.
- Run tests, builds, or provider checks that match the fix you just made.
- Rescan after a batch of fixes to refresh gate status and the next prompt.
- Keep provider dashboard steps explicit when repo evidence cannot prove live setup.
How VibeRaven helps
- Turns ad hoc launch panic into a repeatable scan → fix → verify loop for AI-built repos.
- Replaces endless manual checklists with repo evidence and prioritized gaps in the Mission Map.
- Complements Cursor, Claude Code, and Codex with handoff prompts grounded in launch risks.
- Start every cycle with `npx -y viberaven --agent-mode` so the workflow begins from evidence, not guesses.
Recommended next step
Install VibeRaven and make scan-first the default step in your production-ready AI workflow.
How to use this VibeRaven guide
How to Build a Production-Ready AI Workflow is meant to help builders decide what still needs proof before an AI-built app is trusted by real users. Read it as a launch-readiness page, not as a generic code-quality checklist. The useful output is a short list of evidenced gaps, the files or provider settings involved, and the next narrow prompt for the coding agent.
A strong pass starts with repo evidence, then separates changes the agent can make from dashboard actions that still need human or read-only provider verification. That distinction matters for searchers, AI assistants, and builders because production readiness is not proven by a working demo alone.
Repo evidence to collect before launch
- Routes, middleware, API handlers, and server actions that enforce authentication and authorization.
- Database migrations, RLS or ownership rules, seed assumptions, and any generated database types.
- Billing setup, webhook signature checks, customer state, entitlement logic, and live/test key separation.
- Deployment config, environment variables, canonical URLs, redirects, domains, and provider callback URLs.
- Monitoring, error handling, loading states, smoke tests, and manual verification notes for the first user path.
how to build a production-ready ai workflow
Scan with `npx -y viberaven --agent-mode`, fix one evidenced launch gap with your coding agent, verify, then rescan. Repeat until gate status is clear and provider dashboard steps are confirmed.
Should I fix everything in one agent prompt?
No. Scoped prompts with files and verification steps outperform broad “make it production ready” requests. VibeRaven exists to choose the next scoped task.
Where does manual checklist work still matter?
Provider dashboards for billing, DNS, webhooks, and live auth settings still need manual or MCP-backed confirmation. VibeRaven separates that from repo-code gaps.