decider

Decider Pattern (TypeScript) - Domain Modeling - Progressive Refinement

Run fast, typed AI decision models behind one API. Choice, score and yes/no decisions with multiple engines and hardware backends.

The same decisions, on CPU. System One model that can run on your Personal Computer.

Pluggable decision layer for the ego lite browser: one System One (Jev) call per step replaces the per-step LLM turn, and the backend can be swapped for a local OpenAI-compatible model. Fail-closed execution guards. The measured one — raw bench data, 16 suites, changelog with corrections.

A simple way to add code auto-reloading to any non-Rails app

Um script de "decida por mim" feito em Python.

CQRS and Event Sourcing for Go, without the framework tax. A composable library of independently versioned modules: commands, queries, projections, snapshots, and a cost-based storage planner across SQLite, Postgres, MySQL, DuckDB, Pebble, bbolt, Dgraph, and Turso.

MACHO DECIDER 💪🖤 is a bold, no-nonsense decision-making tool that lets you add up to 10 options and randomly choose one with pure, unapologetic randomness. Simple, fast, and designed for those who want decisions made with intensity. Perfect for tackling tough dilemmas or just adding some fun to the process. Fun for all ages!

Aggregate Composition for Python. A domain driven design architecture.

An AngularJS directive to display PDFs

Turn any state into structured, calibrated decisions. Open-source System One playground: typed questions (choice / score / noul) → probability distributions, not free text. Four backends incl. Mapika/decider RLCD weights and an offline mock. Docker-ready, MIT.

The Snapshot Tool for Amazon RDS automates the task of creating manual snapshots, copying them into a different account and a different region, and deleting them after a specified number of days