Aiaiai.guide: Plain-English mental model for LLM apps, tools and agents
Nine-chapter narrative arc beats fragmented blogs, openly licensed on GitHub.

0.5 MB model running on ESP32 with 512 kB RAM—no PSRAM, no cloud.
Embedded developers, edge AI enthusiasts
TinyML · Edge Impulse · WasmEdge
Nine-chapter narrative arc beats fragmented blogs, openly licensed on GitHub.
Agent loop proofreading evals where HELM and LMSys are too generic.
Task-specific LLM benchmarking beats generic leaderboards that ignore your actual workload.
Cache-aware LLM eval with self-hosted model support beats Ragas on flexibility.
Gujarati-first transliteration pipeline for WhatsApp-style code-mixed text; production-focused.
Smart local‑first routing that only escalates to expensive cloud planners when necessary is the standout idea — combined with per‑run cost accounting and full Ollama offline support it solves a real operational itch. The repo is a pragmatic, CLI/TUI-focused toolkit (scraping + cache, MCP server mode) that feels useful for teams wanting a no‑friction orchestrator, but it’s playing in a crowded space of agent frameworks so the novelty is incremental rather than revolutionary.