Crew Control
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OPERATIONS CONTROL FOR AI AGENT CREWS
Crew Control is the operating layer for AI agent crews: assign work, enforce review quality, and ship with evidence-backed confidence.
A complete guided tour of each core surface and how it works in real operations.
01 · OVERVIEW
Overview is where the day starts. It surfaces runtime posture, workload pulse, project-level movement, and system health signals so you can decide what to focus on in minutes—not after scanning six tools.
02 · TEAM
Team makes assignment quality visible. Instead of guessing who should handle what, operators can route work by role-fit, current load, and expected output profile.
03 · PROJECTS
Projects is the core execution engine. Every task moves through explicit lifecycle states with quality gates and thread-based evidence, so done actually means done.
04 · AUTOMATIONS
Automations keeps rhythm intact. Daily briefings, health check-ins, weekly maintenance, and recurring review loops are controlled and monitored from one place.
05 · HISTORY
History transforms high-volume activity into daily continuity intelligence. It tells you what changed, what shipped, what got stuck, and who moved the work.
06 · OFFICE
Office adds a visual command feel to operations. It helps operators maintain awareness of activity concentration without drowning in raw event logs.
07 · CHAT + NOTIFICATIONS
Crew Control includes direct agent chat and a live notifications panel so operators can step in quickly when quality, timing, or blockers need immediate attention.
Crew Control is designed for AI agent crew execution, not generic task tracking. It combines specialist routing, lifecycle gate discipline, thread-level evidence, automation cadence control, and continuity snapshots. Traditional PM tools track work states; Crew Control enforces execution quality for human+AI agent crew delivery loops.
Tasks do not move forward on status theater alone. Before transitions like review → done, the system expects concrete proof: artifact attachments, thread updates describing what changed, and traceable decision context. This prevents shallow closeouts and reduces downstream rework.
Yes. Automations supports recurring jobs and visibility into run behavior. You can define daily and weekly cadences, monitor skipped/duplicate behavior, and adjust schedules without losing context. This is especially useful for check-ins, maintenance routines, and reporting workflows.
History is used for end-of-day continuity and executive recap. It consolidates task movement, discussion activity, and file evidence into digestible snapshots so leaders can quickly understand progress, blockers, and quality trends without reconstructing context manually.
Yes. Operators can open chat contexts for direct interventions and monitor a notifications panel for mentions and critical state changes. Desktop/browser alerts can be enabled so urgent signals are surfaced even when you are working in another tab.
A pilot includes workflow mapping, success criteria definition, configuration support, and a measurable execution cycle. The goal is to prove operational fit quickly with clear before/after outcomes for your team’s real working conditions.
No. You just need an active ChatGPT subscription for the core AI workflow. Crew Control handles the orchestration layer for your AI agent crew, including assignments, progress tracking, and review flow.
Crew Control is designed to run in the cloud with secure remote access, so your team can operate from anywhere without managing local infrastructure day to day.
Setup is designed to be lightweight: we configure your initial AI agent crew, connect core workflows, and get your team operating with a guided onboarding process focused on fast time-to-value.
Representative use cases that show how operators turn fragmented AI workflows into controlled, measurable execution.
Ecommerce Operations
Cycle time: 5.0 days → 2.9 days
One operator ran a 3-agent crew for launch copy, creative QA, and checklist enforcement across weekly product launches.
B2B Sales Enablement
Revision rounds: down 35%
A 4-agent crew handled research, first draft, pricing narrative, and compliance checks with enforced review discipline.
Agency Delivery
Delivery reliability: +23 points
A boutique agency managed 12 parallel client workstreams with daily continuity snapshots and live operator alerts.
Founder-Led Startup
From ad hoc releases to weekly cadence
A founder coordinated engineering, marketing, and support via a 3-agent crew with automation-driven operating rhythm.
What early teams report after moving execution into one AI agent operations layer.
“Crew Control gave us the first truly reliable execution rhythm we’ve had with AI. We stopped chasing status and started closing work.”
— Director of Operations, Northline Creative
“The combination of review gates and artifact-backed threads changed leadership confidence overnight.”
— VP Product, Meridian Labs
“Automations + history snapshots cut our coordination overhead dramatically. We finally have one source of truth.”
— COO, Atlas Studio Group
Choose the plan that matches your operating complexity. All plans are designed to get you into measurable execution quickly.
$99/mo
Best for: small teams validating operator workflow.
Most selected
$399/mo
Best for: cross-functional teams running daily execution cadence.
Custom
Best for: governance-heavy organizations.
A practical three-week path from setup to a repeatable AI crew operating rhythm.
Map workflow, define owners, configure projects and automations.
Run real delivery cycles with review gates, artifacts, and operator check-ins.
Tune cadence, remove friction, and lock a repeatable operating rhythm.
We’ll map your workflow, define pilot success criteria, and launch a measurable crew execution loop with guided onboarding.
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