Busy: keys belong to tools, not agents
Busy’s security design keeps keys with tools rather than agents, alongside a growing set of communication, memory and scheduling features.
Lynn Cole / Laboratory
Experiments, research notes, mad science, and things in progress.
Busy’s security design keeps keys with tools rather than agents, alongside a growing set of communication, memory and scheduling features.
A hard-drive failure removed most of an almost-finished agent component. Recovering it meant understanding what had changed between two versions and rebuilding deliberately.
Building a voice agent into a surplus truck makes embodied use cases tangible: sensors, routes, memory, local inference and a constantly changing speech stack.
A talking agent on a small machine brings together Whisper, Chatterbox, a tiny Qwen model and a boundary between stateful actors and smart functions.
Early GLM 4.7 observations: exceptional code output, rigid behavior and a tendency to act before asking the clarifying question.
Weekend lessons from voice, multimodal inference, certainty scoring, image stacks and tool instructions trained into small LoRAs.
Configuration adapters free context space by teaching tool instructions to the model. Preserving multimodal capabilities is the next difficult layer.
Reasoning loops belong in the engineering process as well as the weights. Spend more time when uncertainty and consequences justify it.
Busy’s next experiment uses confidence scoring and different reasoning paths to push small edge agents beyond the usual workflow.
A planned training harness combines coding datasets, recursive refinement, compiler verification, play exercises and persona-based reviews.
A deliberately vague evaluation tests whether a coding agent can build, audit, document and revise an application without constant micromanagement.
GhostTown’s podcast generator turns a social simulation into editable scripts, multi-voice audio and recurring stories people can follow.