
TaskConductor™
The control tower for AI-assisted development.
TaskConductor is a local-first desktop command center for people building software with multiple AI coding agents. It gives developers and founders a floating view of active workspaces, agent progress, blockers, and approval points so they can coordinate complex build workflows without losing context or handing control to a black box.
See every agent, blocker, and approval at a glance.
TaskConductor is built for developers and founders coordinating multiple AI-assisted build sessions across tools, repos, tasks, and launch-readiness workstreams.
Connect a workspace
Start with one active project or repo and let TaskConductor track its agent, task, and approval state.
Watch the overlay
Keep agent cards, blockers, branches, and human decision points visible while working in coding tools.
Ask the operator
Use the command layer to ask what is blocked, what changed, and what should happen next.
Approve risky steps
Sensitive actions are routed through approval flows so the human stays in control.
Local First
A control tower beside your tools
TaskConductor is not a cloud SaaS, full IDE replacement, or generic task manager. It is a local-first command surface for coordinating AI-assisted software work while the user remains responsible for review, approvals, and production-impacting decisions.
Ready Now
Built for visible build operations
Honest Boundaries
Early access or developer preview framing should be used unless production release is confirmed.
Do not claim app-store approval, marketplace availability, or signed installer readiness unless verified.
Do not claim fully autonomous production deployment or unrestricted code execution.
Do not claim multi-machine cloud sync as ready; public framing is local-first.
Windows may show warnings for unsigned builds until code signing is completed.
Multi-Agent Visibility
Track what each AI coding agent is doing, which project or branch it belongs to, what is blocked, and what needs attention.
Local-First Command Center
Designed to run on the user's computer with workspace, overlay, agent, chat, and approval state coordinated locally.
Human Approval Points
Sensitive actions are designed to surface through approval and decision flows rather than happening silently.
Operator-Style Assistant
Ask what is blocked, what changed, or what should happen next using a command/chat layer grounded in workspace status.
What TaskConductor does
Who TaskConductor is for
Coordinate scattered AI sessions from one local command center.
The recommended first step is early-access use on one active project: connect or create a workspace, open the overlay, and track active agents, blockers, approvals, and next actions.
