ActionPilot AI
Nebius x NVIDIA Global AI Hackathon · Apps & Agents

From information to action.

ActionPilot runs a five-stage agent over your goal — plan, gather, reason, verify, act — and returns a prioritized plan you can actually execute, with citations and honest confidence instead of a wall of prose.

Five observable stages
Every run streams its steps live, so you can see how the plan was formed.
Verification built in
Claims are checked against cited evidence and weak ones are downgraded.
Ends in decisions
Prioritized actions with owner, effort and per-action confidence.

Workspace

Task

Describe the decision you need to make. Paste any context you already have.

Let the agent gather and cite external sources during Gather.

Agent steps

idle

  1. Plan

    Decompose the goal into a verifiable task graphstatus: pending

    Queued

  2. Gather

    Collect context and supporting evidencestatus: pending

    Queued

  3. Reason

    Weigh options against the decision criteriastatus: pending

    Queued

  4. Verify

    Check claims and surface uncertaintystatus: pending

    Queued

  5. Act

    Produce a prioritized action planstatus: pending

    Queued

No action plan yet

Run the agent to produce a prioritized plan with citations and confidence scores.

Evidence

0 cited

Sources appear here once the Gather step runs.

AI Trace

observable only

This trace contains generated summaries of what each step observably did — tool calls, counts and checks. Raw internal chain-of-thought is never requested, stored, or displayed.

The trace fills in as the agent works through each step.