Your agents.
One workspace.
Turn project notes into a brief, choose an engine, and prepare the next step for review.
Already in the beta? Setup guideThe answer
is just the start.
A weekly update starts with scattered notes. Gather the source material, prepare a draft, and review what should happen next. Your configured engine determines access, approvals and retention.
From the first note.
To a clear next step.
A week’s work.
In three notes.
Move the launch to Friday. Complete accessibility checks first.
Who signs off the final copy? Still to confirm.
Share the revised checklist on Thursday.
Three notes. One clear direction. Example content, not a recorded agent run.
Inside the actual app Watch the setup film · 20 sec ↗
Actual development captures: an unsent brief, engine selection, specialist setup and an unsaved schedule. Runtime offline; no completed task is shown. Silent film.
Better
Together.
The tools you use. The models you choose. Connected through one workspace, with permissions you control.
A little
More context.
Find your use case Headmaster is GCAP Labs’ AI agent workspace. It brings chat, persistent context, connected tools, specialist agents, and recurring workflows into one place.
Yes. Headmaster supports cloud models, local models, and custom endpoints. Availability depends on the providers you connect and your deployment configuration.
You configure tool permissions and review rules. Sensitive workflows can pause before external messages, edits, or final outputs are released.
Explore the Headmaster documentation or speak with GCAP Labs about your workflow. Start with one bounded task and connect the tools it needs.