Skip to content
View cclawton's full-sized avatar

Block or report cclawton

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
cclawton/README.md

Craig Lawton

I build agentic systems, evaluate foundation models for Australian operating contexts, and make tools for creative work. The common thread is bounded systems, evidence, and keeping people in control.


Agentic systems

Headless autonomous loops run on a Mac mini, with workers that produce, a supervisor that triages, and Signal for delivery. No dashboards or polling.

  • supervisor: two-layer producer and verifier architecture. Workers write run files; a separate triage agent classifies them and signals only when something matters. It can integrate with any tool that writes to the filesystem, including Obsidian, CI, scrapers, and task managers.
  • bullpen: profile-driven writing pipeline with bounded OpenCode stages, role-specific model routing, structural validation, and rollback on rejection. Optional Claude Code agents support a more flexible interactive workflow. The human editor controls publication.
  • podcastindex-mcp-server: Podcast Index search, episode lookup, and feed discovery exposed as MCP tools.

Keeping models honest

Leaderboards are a starting point. I am interested in repeatable tests tied to local tasks, constraints, cost, and evidence.

  • hexapla: early evaluation harness for running repeatable model tests, scoring outputs, and producing comparable result matrices.

AI for creatives

I use AI and automation to help people inspect, transform, and finish work they already care about. The source material and creative decisions remain human. Bullpen covers the writing side; these projects cover music.

  • asian-sentry-techniques: orchestration and composition notes from working in Logic Pro with foundation models. AI as co-composer, not autocomplete.
  • music21-mcp: symbolic MIDI analysis and editing operations exposed through MCP, built on music21. It supports key and chord analysis, transposition, quantization, melody extraction, structural heuristics, and basic harmonization.
  • preset-semantic: local-first semantic search for music-production presets across Helix, Arturia, and Decent Sampler. It turns musical descriptions into loadable preset candidates through a CLI or MCP tool.
  • reascript-mcp: tools for reading REAPER project state and generating Lua ReaScripts for actions that can be checked inside REAPER.

Small tools

I also build local-first utilities for narrow problems. dv-joiner sorts timestamped DV clips and creates grouped, deinterlaced H.264/AAC access copies with FFmpeg. The original DV files remain the preservation masters.


Writing

I write about AI deployment in Australian regulated sectors, sovereign infrastructure, and building with agents at craiglawton.com. I am AWS-affiliated; the writing is personal.


Connect

Pinned Loading

  1. podcastindex-mcp-server podcastindex-mcp-server Public

    MCP server exposing 25+ PodcastIndex.org tools to AI agents — search, discovery, episode lookup, trending feeds, Value4Value data

    TypeScript 3

  2. simple-guitar-tuner simple-guitar-tuner Public

    Android instrument tuner built with AI-assisted development

    Kotlin 1

  3. asian-sentry-techniques asian-sentry-techniques Public

    AI-assisted orchestration and composition techniques — Logic Pro + foundation models

  4. bullpen bullpen Public

    Profile-driven AI writing with human editorial control, bounded OpenCode stages, and model routing

    Python

  5. supervisor supervisor Public

    Autonomous supervisor agent — two-layer producer/verifier architecture with Hermes cron and Signal delivery

    Shell