See how work really moves.
People and agents, together.
AI Hub shows your team’s AI-Driven Lifecycle as it happens; who’s on each step, what they shipped, and how the team is actually doing.
Every step. In context.
Requirement, planning, build, review, QA, release. Lay out how your team delivers. Metrics sit on the step they belong to, so you see the lifecycle, not a pile of logs.
Humans here. Agents there. The full picture.
Each activity is tagged with who did it: a teammate, an agent, or both. Spot where people still carry the load, where agents are doing the heavy lifting, and which steps have gone quiet.
Send an event. See it on the team.
Pipelines and local scripts post activity events with a team API key or your personal token. Name the activity, say who did it, and Hub shows it on the AIDLC step.
- 1Authenticate: use a team key or your personal token.
- 2Send the activity: include who did it and a correlation so you can find the run.
- 3Open the console: see usage, latency, cost, and who ran the step on the map.
[
{
"correlationId": "run-task-001",
"activity": "Write-unit-tests",
"timestamp": "2026-08-08T09:15:00Z",
"actors": [
{ "type": "user", "id": "maya@99x.io" },
{ "type": "agent", "id": "QA Agent" }
],
"dimensions": {
"tokens": 1200,
"status": "success"
}
}
]Everything you need to see the team clearly.
AIDLC process maps
Document how your team delivers with AI. Workflows are models for context, never an execution engine.
Human + agent observability
Volume, latency, cost, and outcomes on the step they belong to a teammate, an agent, or both. Analyse team load, not just agents.
Team metrics
AIDLC usage per team, filterable by activity, node, member, and correlation: what actually happened.