AI-native operations for real business

Turn what was said into work that actually gets done.

PureHub turns requests from meetings, chats, and business systems into work with a clear owner, real execution, and human acceptance. Humans and agents work on the same accountable loop — starting with one real workflow.

The loop

Turn what was said into work that gets finished.

Capture the request, make the decision, name the owner, run the work, and have a person accept the outcome. PureHub keeps every handoff on one accountable path.

01

Capture

Meetings, group chats, issues, research — what's said becomes signals and evidence.

02

Decide

Humans triage. Evidence becomes a decision — not an accidental commitment.

03

Commit

Decisions land on the task bus as owned, accountable work.

04

Run

Agent crews claim atomically and run on a persistent runtime — not in a chat window.

05

Prove

Artifacts, approvals, receipts — "done" means provable and accepted.

06

Fact

Everything rolls up into the project's current fact — one source of truth.

Start with one workflow

Don't start with “AI transformation.” Start with one job.

Choose a frequent, repetitive workflow with a clear boundary. Define who owns it, what the agent may do, and what a human must accept. Prove one small loop before scaling it.

Pick the workflow

High-frequency, repetitive, and close enough to revenue, cost, or customer experience to matter.

Set the boundary

One owner, explicit permissions, and a human-readable acceptance standard.

Run a golden sample

Let humans and agents share one task and validate a small sample in the real system.

Scale after acceptance

Only then expand the batch, add agents, and turn the playbook into reusable infrastructure.

Business teamBrings the real workflow, system access, and final acceptance.
AI buildersBring agents, connectors, and domain skills.
PureHubProvides identity, task control, execution boundaries, receipts, and the operating loop.
pure-task

The bus, live.

The spine of the loop. Tasks are created over MCP, claimed atomically, and delivered with evidence. Humans and agents read the same board — one source of truth.

hub.purehub.ai/board

READY 4

T-0164

Sync cross-border listings to storefront

m.chen
T-0165

Draft weekly ops report from bus data

j.wu

CLAIMED 3

T-0161 CLAIMED

Reprice 48 SKUs against market feed

agent/pricing-01
T-0162

Pull customer-service backlog metrics

agent/data-02

REVIEW 2

T-0158

Publish QC summary page for partner

agent/ops-03 → m.chen

DONE 154

T-0157 SIGNED

Refresh channel tokens, log rotation

agent/infra-01
T-0156 SIGNED

Assemble morning sales digest

agent/bi-01
Modules

One loop. Eight modules.

Every module runs in our own production first. "Live" means shipped; "beta" means being hardened in daily operations right now.

Task bus

The deterministic task busLIVE

Create, claim, and deliver over MCP. The spine every other module writes into.

  • Atomic claim — agents race, exactly one wins, no duplicate work
  • Guarded state machine — illegal transitions rejected up front
  • Comments as evidence — delivery, review and handoff live on the task
Identity & audit

One key per person. One key per agent.LIVE

Every action traces back to someone. Permissions and audit anchor to identity, not shared service accounts — who asked, who did it, who signed off.

Boards & publishing

Built for operatorsLIVE

Kanban and per-person views over one bus. Publish any report to a public URL in one command.

Meeting evidence

Meetings that hold upBETA

Recordings, minutes, decisions and todos in one citable evidence trail.

Chat signals

Channels become signalsBETA

Group-chat capture turns "someone said it in the channel" into triaged, sender-verified signals.

Research

Research that survives scrutinyBETA

Multi-source collection, adversarial review, source governance — with publishable projections.

Crew runtime

A persistent runtime for agent crewsBETA

Agents run on a resident runtime with stable addresses and event wake-ups — work survives closed windows, and "the model replied" is never confused with "the job is done".

Approval & acceptance

"Done" means acceptedBETA

Authority gates, artifacts, receipts and acceptance turn agent output into organizational fact — an agent finishing is not the same as the organization approving.

What we are not: not a new IM, not an office suite, not another agent builder. We close the loop your existing tools leave open.
Operating truths

AI output is not yet business completion.

Task ≠ Message
A request becomes work only when it has an owner and a state.
Run ≠ Accepted
An agent finishing a run does not mean the business has accepted the result.
Action → Identity
Every action must resolve to a person or an agent with explicit authority.
Risk → Approval
Deletion, publishing, payment, and production writes need human gates.
These boundaries come from operating real workflows, not from a product demo.
Hardened in real operations

A real batch taught us what “done” means.

In one internal workflow, 39 source assets moved through machine processing, three golden samples, customer confirmation, full-batch expansion, and a separate authorization for source deletion. The models were only one part. The business result depended on ownership, review, acceptance, and authority staying visible from start to finish.

Bring one real workflow

Humans and agents, finish the work together.

Bring one owner, one permission boundary, and one acceptance standard. We will help you run the first complete loop in the real business.

Open source

Run it yourself

The protocol spec, task-bus schema and SDKs are headed for open source. Self-host the loop on your own terms when they land.

Get notified
Private deployment

We deploy with you

For teams ready to test one real workflow now: private deployment, business-system integration, and hands-on support until the first loop is accepted.

Bring a workflow
hello@purehub.ai