The Lab Agents · Member workspace

A specialized AI team for better learning decisions.

Eight AI instructional design specialists to support training needs analysis, performance analysis, and scenario-based learning. Investigate a training request, examine the evidence you supply, and review recommendations before deciding what to build.

Open the workspaceSee it on a real request

Meet the team

Specialists, not another chatbot with a costume.

Each agent owns one part of the work an instructional designer usually does alone, often in a rush. Ask one, or let a team build on each other’s findings.

  • Illustration of Scout

    Investigate

    Scout

    Research & discovery

    Supports training needs analysis by examining the request and naming the evidence you still need.

    You getA research brief and a list of evidence gaps

  • Illustration of Nova

    Analyze

    Nova

    Pattern intelligence

    Reads the evidence you supply for patterns, contradictions and the limits of what it can prove.

    You getA pattern summary with contradictions flagged

  • Illustration of Professor Cirrus

    Analyze

    Professor Cirrus

    Systems mentor

    Looks past the learner at incentives, stakeholders and the organizational constraints training can’t fix.

    You getA map of the non-training barriers

  • Illustration of Luma

    Design

    Luma

    Creative design

    Turns the diagnosis into a learning treatment, a storyboard outline and visual design specs.

    You getA treatment and storyboard outline

  • Illustration of Echo

    Design

    Echo

    Scenario design

    Drafts scenario-based learning with realistic choices, feedback and consequences for your review.

    You getA practice scenario draft

  • Illustration of Byte

    Design

    Byte

    Technical logic

    Checks process logic, technical feasibility, accessibility and implementation risk before you commit.

    You getA feasibility and risk review

  • Illustration of Spark

    Test

    Spark

    Experiments

    Writes falsifiable hypotheses, success measures and small, ethical pilots.

    You getA pilot plan with measures

  • Illustration of Axiom

    Decide

    Axiom

    Decision intelligence

    Combines the team’s work, surfaces where they disagree, compares options and documents the rationale.

    You getA decision memo you can share

See it on a real request

A stakeholder asks for a course. Here’s what the team does with it.

An illustrative project, start to finish.

Project brief

“New sales reps aren’t hitting quota in their first 90 days. The VP wants a product-knowledge course by next quarter.”

Suggested team

  1. Scout
  2. Nova
  3. Professor Cirrus
  4. Luma
  5. Axiom

The Lab suggests specialists from the words in your brief. You can reorder, add or remove them before approving.

  1. Scout

    Before building anything: what do new reps who do hit quota do differently? Missing evidence: ramp data by manager, call recordings, CRM activity.

  2. Nova

    Product quiz scores are high across the cohort. The gap shows up in discovery calls. Knowledge doesn’t look like the bottleneck.

  3. Professor Cirrus

    Quota relief ends at day 60, and managers have no time set aside for ride-alongs. A course won’t change either one.

  4. Luma

    If training is part of the answer, make it call practice, not a product catalog. Treatment and storyboard outline attached.

  5. Axiom

    Three options compared: product course, manager coaching cadence, practice scenarios. Recommended: coaching plus practice. Flagged: Luma and Cirrus disagree on timing.

  6. Your call

    You review the reasoning, record the decision in project memory, and walk into the VP meeting with evidence instead of a course outline.

How it works

A team that remembers, and waits for you.

  1. 01

    One brief, shared memory

    Save the request once, plus goals, constraints, stakeholders, evidence and decisions. Every specialist reads it, along with the team’s recent analyses.

  2. 02

    Ask one, or run a team

    Get a single focused analysis, or approve a suggested sequence where each specialist builds on the last.

  3. 03

    Nothing moves without you

    Every stage pauses for your approval. Analyses are saved to the project and labelled as AI recommendations, and the decisions stay yours.

Your project workspace

One brief. A team that builds on it.

Save your context, invite a specialist, or approve a coordinated team. Every stage pauses for your review. Professional and Teams memberships include access.

Sign inMembership options

Start a project

Every specialist works from this brief.

Shared project memory

These are practitioner notes. Separate supplied evidence from verified findings and decisions. Only you can update these fields.

Not saved yet

Ask a specialist

One agent, one focused analysis.

Coordinate a team

Suggest a team from the saved brief, edit its order, then approve it. Each stage receives shared memory and recent analyses. Axiom can combine findings and surface disagreements.

Team order

Choose a specialist in each stage you need. Leave unused stages blank.

    Sign in to create or reopen a project.

    Project analyses

    AI recommendations require your judgment. Supplied evidence is user-reported and is not independently verified by the agents. The team uses shared notes and up to 16 recent analyses; keep key decisions in project memory.

    Built for practitioners

    AI can move the work forward.
    You're still responsible for the judgment.

    Each specialist builds on your saved context. Review their work, record your decisions, and approve the next contribution.

    Explore The Lab