01
Single-agent chats stall on multi-step work
You paste context again, switch tools, and re-explain the goal every time the thread drifts.
Multi-agent orchestration
One goal. Specialized agents. Finished work.
client coordinates Planner, Researcher, Executor, and Reviewer so small tech teams stop stitching AI steps by hand and start shipping end-to-end outcomes.
Built for founders and eng leads who already use AI daily and need a visible path from ambition to done.
client.app / workspace
live runGoal
Prepare a founder brief that turns one product goal into a finished multi-agent run.
01
Planner
Breaks the goal into a concrete run plan
02
Researcher
Gathers context and constraints before execution
03
Executor
Does the work and produces intermediate artifacts
04
Reviewer
Checks the handoff and closes the loop
Timeline
00:04:18
Planner
done
Scoped the goal into four steps
Researcher
done
Pulled constraints and prior context
Executor
active
Producing the deliverable
Reviewer
queued
Waiting on handoff
The stall
Single-agent tools break when the work needs a team.
02
Handoffs live in your head
Research, drafting, and review are separate people or tabs. Nothing owns the full path to done.
03
Black-box runs waste trust
If you cannot see who acted, what changed, and what is next, you cannot steer the system.
How it works
A thin loop you can actually run.
State the goal once. Agents plan, gather context, execute, and review in sequence. You keep judgment and direction; they keep the handoffs moving.
- 01PlannerBreaks the goal into a concrete run plan
- 02ResearcherGathers context and constraints before execution
- 03ExecutorDoes the work and produces intermediate artifacts
- 04ReviewerChecks the handoff and closes the loop
Workspace
Watch the handoff, not a black box.
The product surface is a live orchestration board: goal, agent roster, timeline, and completed handoff in one place. Start from the public workspace and see the loop end to end.
client.app / workspace
live runGoal
Prepare a founder brief that turns one product goal into a finished multi-agent run.
01
Planner
Breaks the goal into a concrete run plan
02
Researcher
Gathers context and constraints before execution
03
Executor
Does the work and produces intermediate artifacts
04
Reviewer
Checks the handoff and closes the loop
Timeline
00:04:18
Planner
done
Scoped the goal into four steps
Researcher
done
Pulled constraints and prior context
Executor
active
Producing the deliverable
Reviewer
queued
Waiting on handoff
Principles
Technical honesty is the product posture.
Working loops over frameworks
Ship goal in → run → result out. Abstract agent platforms come later, if ever.
Observable by default
Every handoff is visible on a timeline. Limits stay plain. No magic theater.
Built for small teams
Low setup, high leverage. Founders and eng leads should start a run without a platform team.
Turn the next ambitious goal into a finished run.
Open the workspace, state what done looks like, and let the agents carry the intermediate steps while you stay on judgment.