AI orchestration platform

Run an AI workforce.
Keep control.

Kapow orchestrates AI workers at scale while preserving every task, decision, output, and asset in one connected system.

A demonstration: an operator types a request to build a four-stage LinkedIn lead generation project. Kapow assembles a project table, runs four tasks across specialized workers, pauses for a human approval, and completes the work while recording every task, decision, and asset.

New project command
Find company
Find CEO
Create outreach
Send
01 Vertex Harbor
Lena Ortiz — CEO
messageimage
Sent
02 Signal Grove
Marcus Chen — CEO
messageimage
Sent
01Working
Find target companies
Vertex Harbor, Signal Grove
02Working
Identify CEO
Lena Ortiz, Marcus Chen
Approval required
Approve Improve
03Working
Create message + image
“Hi Lena — noticed Vertex Harbor is scaling…”
04Working
Send LinkedIn message
Goal achieved
4 tasks · 1 decision · 2 assets saved

The gap

AI tools execute.
They don't manage.

Isolated prompts. Chat history that scrolls away. Agents that never learn about each other. Outputs scattered across tabs and folders. The bottleneck isn't the model — it's the missing structure around it.

Isolated prompt
Chat history — lost
Disconnected agent
Scattered output
Another chat
Stray file

Orchestration

You brief one orchestrator.
It runs the workforce.

You talk to a single agent in plain language. It plans the work, splits it into tasks, and hands each one to a specialized worker. Its job is to manage the operation — not to do the grunt work itself.

Orchestrator “Produce this week's content package.” Managing · not running tasks
Researcher gather sources
Writer draft copy
Editor review & polish
Designer create visuals
Publisher schedule & post

Tasks run by code — deterministic, parallel, reliable. The orchestrator stays free to coordinate, decide, and keep control.

research.gather_sourcesdone
writer.draft_copydone
editor.review_polishrunning
publisher.schedule_postsqueued

Operational memory

Every task, decision, and asset
becomes searchable memory.

Nothing evaporates when a chat scrolls away. Kapow keeps the full operational history — connected as a living mind map you can actually ask questions of.

Q3 close
Invoices
Payments
Reports
Approvals
Anomalies
Categories

Credentials, handled

Agents act in real tools —
logins stay in a vault, not in prompts.

A built-in password & session manager lets your workforce sign in to the sites and services the job actually needs — checked out under your control, and never pasted into a conversation.

Session vault
LinkedInActive sessionReady
GmailOAuth sessionReady
HubSpot CRMAPI keyReady
Company portalPasswordApprove access

You approve access. Credentials are encrypted and never exposed to the model.

Your models, your machine

Codex, Claude, or local models.
Talk to it with your voice.

Route work to the model that fits — cloud or fully local — and drive it with local voice. Local-first and private by default.

ClaudeCloud
CodexCloud
Local modelsOn your machine
Local voice · listening
Local-first · controlled by you · TeamHero is MIT-licensed

Not just one domain

One orchestration model.
Many kinds of work.

The same orchestrator, project system, and memory underneath — whatever the work is. Marketing is just one of them.

SoftwareShip a feature across research, code, and review
ResearchSurvey a field and synthesize findings
OperationsRun recurring back-office workflows
SalesSource leads, personalize, and follow up
MarketingPlan and produce a multi-channel campaign
FinanceReconcile, report, and flag anomalies
ContentDraft, edit, and publish at volume

The promise

One person.
A scalable AI workforce.
Full operational control.

Runs locally on your machine, with clear controls for accounts, integrations, and external AI providers.