Local LLMs & agents.

Self-hosted Qwen workflows with controlled request budgets, reproducible decoding, structured decisions, and explicit inference-failure handling.

START HEREConcrete inference engineering across projects: budgets, structured outputs, runtime controls, and recovery.

An AI-work coordinator built around Git, markdown work nodes, a small state machine, and a CLI that owns mutations.

A local adaptation of an upstream financial time-series LLM pipeline to Qwen3.5, spanning inference compatibility and staged GRPO/LoRA/SFT training code.

A local-Qwen decision pipeline asks whether the real-world event behind a prediction market is likely to end within a chosen horizon.

A-share research workflows that turn textual evidence into structured long-only decisions, with accounting and governance checks.

A reusable agent workflow that separates planning, interface skeletons, implementation, and integration through typed patch artifacts and deterministic hooks.

An installation and activation layer combining upstream coding skills, specialized agents, and hooks into a reusable project toolkit.

A provider-neutral task-control architecture studied alongside the later ZhengMindYAGNI implementation.

An upstream reference for symbol-aware code retrieval and editing through language servers and MCP.