Small software — the purpose-built tools you and your team actually need. Garland Bot builds them, Garland Works runs them, and you share them as easily as a Google Doc — no cloud complexity to wrestle.
On it — pulling context from your LLM Wiki and fanning the work out…
Fanned work out across models
Verify step gated the merge
Shipped to production
Docs search is live and tested. Want me to add filters next?
Garland Bot is typing
Built by an agent·Runs in one place·Shared like a Google Doc
Build it, run it, share it
One agent. Everything small software needs to ship.
Garland Bot builds the tool — the LLM Wiki, OOB Skills, and Conductor give it context, capability, and a home to run and be shared from.
The agent
Garland Bot
The friendly agent that builds your small software. Hand it a goal and it fans the work out across models, runs verify steps that gate what ships, and delivers the purpose-built tool your team needs.
Fans work out across models
Verify steps gate what ships
Any provider, any step
Context management
LLM Wiki
A living knowledge base generated from your repo — so every tool Garland Bot builds knows your team, your data, and your conventions. It learns from every run, senses its own drift, and repairs itself, proposing the fix as a pull request while a committed benchmark holds retrieval quality steady.
Learns from every run
Repairs drift, proposes a PR
Retrieval held by a benchmark
Bootstrapping
OOB Skills
Thirteen out-of-the-box skills that stand up real capability on day one. One command seeds any repo, and Garland Bot composes them into workflows — bootstrapping small software in minutes, not months.
Thirteen skills, ready to run
One command seeds any repo
Compose into workflows
Orchestration
Conductor
A desktop control center and IDE for Garland Works — the home your small software runs in and gets shared from. Connect GitHub, watch ten live gauges as Garland Bot works, steer it, and hand a tool to a colleague as easily as a Google Doc — all local-first.
Watch ten live gauges
Run & share from one home
Local-first, your hardware
Self-healing loop
Context that repairs itself.
Knowledge decays the moment the repo moves on. The LLM Wiki watches for that drift, fixes what fell behind, and hands you the change as a pull request — never merging itself.
Step 1
Detect
Senses its own drift and flags the docs that went stale or were never used.
Step 2
Repair
Regenerates the context that fell behind from the repo as it stands today.
Step 3
Propose a PR
Opens a pull request with the fix on a weekly loop — you stay in control of the merge.
Observability
Ten gauges on every run.
Conductor turns each session into something you can watch. Ten live gauges read out as Garland Bot works, so nothing happens in the dark.
Team usage auditing is on the roadmap — a shared view of who ran what, coming as Garland Works grows past a single seat.
Tokens
Status
Milestones
Blast radius
Complexity
Heal timeline
Index map
Plan graph
Task canvas
Evolution timeline
Early access
Put Garland Bot to work.
Request early access to the cloud for small software. One quiet email when it's your turn — no newsletter, no churn.