Coordinate a research project.

Turn scattered notes, papers, and experiments into a project that actually moves. Manager tracks every workstream, keeps the shared wiki current, and surfaces threads that stalled before they go cold.

Why run it in Manager?

One place for the whole project

Workstreams, experiments, and deliverables are tracked in one project instead of across notebooks, drives, and inboxes.

Nothing goes cold

Manager surfaces threads that have gone quiet, so a stalled experiment gets attention before it derails the timeline.

Traceable from day one

Methods, decisions, and datasets live in a versioned wiki and file history, a record you can retrace.

The workflow.

  1. Map the workstreams

    Capture each experiment, paper, and deliverable as a goal you can break into tasks.

    Say to your agentManager: Interview me about the research and create a goal for each workstream.

  2. Keep methods in the wiki

    Record protocols, decisions, and rationale in the wiki with full revision history.

    Say to your agentManager: Write our methods to the wiki and record the reasoning behind each decision.

  3. Track datasets and outputs

    Attach datasets, figures, and drafts as versioned files on the work they belong to.

    Say to your agentManager: Create an upload link for the new data and file it under the goal it belongs to.

  4. Let Manager watch for stalls

    Manager shows you threads that went quiet before they go cold.

    Say to your agentManager: Show me every task with no activity in the last two weeks.

  5. Log meetings and decisions

    Capture lab meetings as notes; Manager turns the action items into tracked tasks.

    Say to your agentManager: Turn these lab meeting notes into tasks and record the decisions on the wiki.

  6. Generate review summaries

    Pull progress summaries for supervisors, funders, or department reviews from real activity.

    Say to your agentManager: Write a progress summary for the next review on the wiki from this quarter's activity.

From scattered notes to a project you can steer.

Manager holds the workstreams, the methods, and the data in one place and tells you what stalled, so the research keeps moving.

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