{
 "schema_version": 1,
 "generated": "2026-10-20",
 "repo": "Rizzo-AI-Academy/rizzo-flow",
 "name": "rizzo-flow",
 "owner": "Rizzo-AI-Academy",
 "slug": "rizzo-ai-academy-rizzo-flow",
 "github": "https://github.com/Rizzo-AI-Academy/rizzo-flow",
 "what": "Rizzo Flow is an open, local-first tool that returns typed, probabilistic decisions (yes/no, choices, rubric scores, numbers) from unstructured state using a local LLM over an HTTP API.",
 "why": "",
 "language": "Python",
 "requirements": [
  "Python 3.11 or newer",
  "git",
  "uv (https://docs.astral.sh/uv/)",
  "About 4.4 GB of free disk space for the default 4B model, plus the llama.cpp runtime (about 11 MB on a Mac, 30 MB with Vulkan, about 570 MB with CUDA)",
  "A machine that can run llama.cpp: an Apple, NVIDIA, AMD or Intel GPU, or no GPU at all"
 ],
 "audience_note": "Developers and small teams who want typed LLM decisions from text on their own machine, without sending data to a hosted service.",
 "risk": "none",
 "section": "earlier",
 "weekly_rank": null,
 "category": "Software and DevOps",
 "url": "https://dedupedai.com/use-cases/rizzo-ai-academy-rizzo-flow/",
 "use_case_count": 4,
 "use_cases": [
  {
   "id": "rizzo-ai-academy-rizzo-flow--local-typed-decisions-api",
   "title": "Get typed LLM decisions from text on your own machine",
   "best": true,
   "url": "https://dedupedai.com/use-cases/rizzo-ai-academy-rizzo-flow/local-typed-decisions-api/",
   "json": "https://dedupedai.com/use-cases/u/rizzo-ai-academy-rizzo-flow/local-typed-decisions-api.json"
  },
  {
   "id": "rizzo-ai-academy-rizzo-flow--triage-ticket-from-command-line",
   "title": "Triage a support ticket from the command line",
   "best": false,
   "url": "https://dedupedai.com/use-cases/rizzo-ai-academy-rizzo-flow/triage-ticket-from-command-line/",
   "json": "https://dedupedai.com/use-cases/u/rizzo-ai-academy-rizzo-flow/triage-ticket-from-command-line.json"
  },
  {
   "id": "rizzo-ai-academy-rizzo-flow--point-jev-code-at-localhost",
   "title": "Run existing TypeSafe Jev API code against localhost",
   "best": false,
   "url": "https://dedupedai.com/use-cases/rizzo-ai-academy-rizzo-flow/point-jev-code-at-localhost/",
   "json": "https://dedupedai.com/use-cases/u/rizzo-ai-academy-rizzo-flow/point-jev-code-at-localhost.json"
  },
  {
   "id": "rizzo-ai-academy-rizzo-flow--run-smaller-model-on-weak-hardware",
   "title": "Run a smaller or quantized model on modest hardware",
   "best": false,
   "url": "https://dedupedai.com/use-cases/rizzo-ai-academy-rizzo-flow/run-smaller-model-on-weak-hardware/",
   "json": "https://dedupedai.com/use-cases/u/rizzo-ai-academy-rizzo-flow/run-smaller-model-on-weak-hardware.json"
  }
 ],
 "disclaimer": "Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk."
}
