Agents
A delivery team, not a single generalist
Most AI workflows start with a generalist agent. TaskForce is building a small team of specialized agents — product, architecture and delivery — each grounded in your Memory, each producing proposals a human approves.
The team
Three roles, the way a strong org splits them
Responsibility is split the way a software organization does it — so no single agent has to be an expert at everything, and no single agent gets the final say.
CPO
the what
Shapes the product: vision, specifications, priorities and acceptance criteria.
CTO
the how
Owns technical coherence: architecture, APIs, data, trade-offs and technical risk.
COO
the when & the risk
Owns delivery: sequencing, capacity, dependencies, milestones, risk and drift.
Three perspectives. One run. No agent gets the final say.
Orchestration
One run, three perspectives
Each role produces an artifact — a spec, an approach, a breakdown — and hands it to the next only after a human approves it. Three perspectives, one accountable chain.
A human approves at every checkpoint — no role hands off on its own.
What's real today
One assistant, grounded in your Memory
The specialized team is the direction. Today, TaskForce ships an assistant grounded in your Brain OS: it retrieves the reasoning behind your system, uses connected tools — and hands consequential actions to a human.
Search your Memory
Retrieves the decisions, constraints and conventions behind your system before it answers.
Take notes
Writes findings back as knowledge nodes, so what it learns stays in the graph.
Use connected tools
Calls tools exposed over MCP by the systems you've connected — and any external write waits for a human.
The rules
What makes an agent governable
An agent is only as useful as it is accountable. Every agent — the assistant today, the specialized team as it lands — works to the same rules.
Grounded
Uses your architecture, decisions and conventions — not generic guesses.
Specialized
Works within a defined responsibility instead of pretending to know everything.
Governed
Proposes; a human approves. Nothing consequential runs on its own.
Your models
Local through Ollama at zero model cost, or hosted — your call, fast or deep per run.
Every proposal an agent makes waits for a human at a checkpoint — see how sign-off works in Approvals.
A team you direct, not a black box you hope for
Specialized agents, grounded in your context, producing proposals you can review, approve or reject.