130 verified recipes
Verified AI workflows
that actually ship.
A screenshot shows what worked once. FlowStacks shows what still works: CI re-runs every recipe on each change, so the badge goes red the moment one breaks. Browse by tool, by use case, or by what it replaces.
$ npm run verify ✓ obsidian-claude-weekly-review 5/5 ✓ tldraw-make-real-sketch-to-code 5/5 ✓ obsidian-agent-harness 7/7 ✓ dedupe-and-rank-a-keyword-list 2/2 38/38 fixtures green · machine-verified
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Popular workflows
View all →Self-hosting the open-source stack? Prove your backup actually restores before you need it
Make the one self-hosting discipline that matters a machine check: back up your database, destroy the live copy, restore from the backup, and assert the restored data matches the original exactly, so you find a broken backup in CI instead of at 2am.
Prove your meeting-notes pipeline never phones home (and gates on consent)
Run capture -> whisper.cpp transcription -> Ollama summary fully on your machine, with a CI check that every endpoint is loopback, no cloud host or API key appears anywhere in the config, and recording is gated on a consent acknowledgment.
Validate a WrenAI semantic model's references before an agent queries through it
Before letting an agent query through WrenAI's governed semantic layer (MDL), validate that every relationship and metric resolves to a model and column that actually exist, so a stale definition fails a check instead of quietly returning wrong-but-plausible numbers.
Chat with a CSV, but pin a known-answer guardrail so a wrong query cannot pass
Ask a CSV or dataframe questions in plain English with PandasAI, but wrap it in a deterministic known-answer check so a confident-but-wrong generated query is caught instead of trusted.
Self-host CodeWiki on private code: validate the config before you spend tokens
Configure the open-source FSoft CodeWiki to generate architecture-aware docs on your own machine (so private code never leaves it), and validate the provider and model config before a full, token-spending run.
Wire the DeepWiki MCP into your agent so it looks up repos instead of hallucinating
Give your coding agent the DeepWiki MCP server so it can pull real context about an unfamiliar dependency mid-task, and validate the client config declares the three documented tools before you trust it.
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AI agents, automation, and the next internet.
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