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AI Assessment gives you a verified baseline of how your people actually work with AI — by team, function and role — and what to build first.

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AI Transformation takes your teams from a measured baseline to changed ways of working — and keeps them there as AI keeps moving.

From pilots to real AI adoption

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Evolve LevelMeasure applied AI skills and identify gaps by role.
Evolve CoachHelp people work better with AI coaching in the tools they already use.
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AI Readiness Assessment

From pilots to real AI adoption

Scale AI across your organization.

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You invested in AI. Is it working?

Ten minutes to a clear answer.

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What can your team actually do with AI?

Evolve Coach gives your employees one specific note when it helps, inside the tools they already use. Over time, it builds a track record of their judgment from real work.

claude — worker-service
coach.evolve.nebius.com/team
>
✽ Working…
>
✽ Reading your recent sessions…
●
>
✽ Opening your dashboard in the browser…
Competency distribution
Last 6 months
Typical — where the team usually works
AprMayJunJul
TODAY3 of 12 people sit below the highest AI profile they have reached
Typical
1
3
4
2
1
1
Highest
2
4
3
1
2
Observer
Operator
Collaborator
Delegator
Orchestrator
Steward
Current behavior map for each typical AI profile
See how many team members demonstrate the behaviors for their AI profile
Operator
2/7
Human-audience modeling
2.5/5
Intent specification
5.5/8
Surface-vs-structure framing
2.5/3
Grounding acts
11/11
Audience design
7/7
Conversational repair
7/7
Data-boundary judgment
5/5
Feature awareness & applicability
3/3
Perspective-taking
Collaborator
0.5/2
Closed-loop communication
10.5/11
Establishing shared understanding
9/9
Generative-mechanism knowledge
10/10
Maintaining team organization
14/14
Taking appropriate joint action

  1. Evolve Coach gives you one specific note grounded in the exchange you just had — what you delegated, what you accepted, what you checked. Automatic notes appear only when useful and no more than once per hour. You can also ask for feedback on a previous session.

    • Claude Code
    • GitHub Copilot

  2. Behaviors give you and your organization a consistent way to describe effective AI collaboration. They cover how you review output, calibrate trust, decide what to delegate, recognize when human intervention is needed, and frame and ground your requests.

  3. You will receive a private record of the behaviors you demonstrate over time and the AI profile they reflect. Each AI profile represents the degree of AI autonomy demonstrated through real work, rather than a result from a single test.

  4. Your organization sees how behaviors and AI profiles are distributed across the cohort. It never sees a specific individual’s prompts, coaching notes, or profile.

Inside your AI tool

Feedback based on AI interactions

Evolve Coach gives you one specific note grounded in the exchange you just had — what you delegated, what you accepted, what you checked. Automatic notes appear only when useful and no more than once per hour. You can also ask for feedback on a previous session.

  • Claude Code
  • GitHub Copilot

Expert-defined behaviors

One standard for working well with AI

Behaviors give you and your organization a consistent way to describe effective AI collaboration. They cover how you review output, calibrate trust, decide what to delegate, recognize when human intervention is needed, and frame and ground your requests.

AI profiles

A track record built from real work

You will receive a private record of the behaviors you demonstrate over time and the AI profile they reflect. Each AI profile represents the degree of AI autonomy demonstrated through real work, rather than a result from a single test.

Cohort-level insight

A team view that keeps individual data private

Your organization sees how behaviors and AI profiles are distributed across the cohort. It never sees a specific individual’s prompts, coaching notes, or profile.

How it works?

Watch your team build AI judgment

While you work

01 Use AI as normal

Work as usual in Claude Code or GitHub Copilot. Coaching notes arrive automatically, no more than once an hour, with no tests or sessions.

Using expert-defined behaviors

02 Ask for feedback on draft prompts

Run /coach:prompt-feedback on a draft before you send it, or on a previous prompt, and get one specific note.

After the AI responds

03 See what behaviors to focus on

Run /coach:status to see your AI profile and which behaviors show up consistently, sometimes, or rarely.

Review your team’s track record

04 Look at your team’s track record

Leaders see how AI profiles are distributed across the team, without access to individual prompts or coaching notes.

What your organization gets

An honest read on your team’s judgment with AI

Evolve Coach gives leaders a cohort-level record of which behaviors appear consistently or rarely and how AI profiles are distributed. They can identify where further support is needed and see how these patterns change over time, without access to individual prompts, coaching notes, or profiles.

How Evolve Coach keeps coaching consistent and grounded in real work

Learning-science and domain experts define the technical and durable behaviors that indicate effective AI collaboration. Evolve Coach uses the same definitions across relevant interactions, keeping coaching consistent across users, cohorts, and supported tools.

Automatic notes require at least 60 minutes of accumulated session time between them and appear only when a useful coaching opportunity is identified. Otherwise, Evolve Coach stays silent.

Behavior definitions and coaching rules remain consistent across supported working environments. The standard does not change with the tool or vendor.

Each AI profile is based on behaviors observed across repeated opportunities. Those patterns are recorded as consistently, sometimes, or rarely rather than determined from a single interaction.

Frequently asked questions

AI coaching uses artificial intelligence to provide personalized guidance and feedback that helps someone improve a skill or behavior. Evolve Coach applies this approach to the human skills required to work effectively with AI, using real AI-assisted work as the context for brief, specific coaching.

AI coaching in the flow of work happens within the tools and tasks professionals already use, rather than in a separate course or scheduled session. Evolve Coach applies this approach to each professional’s real AI-assisted work, using the prompt or exchange at hand to make feedback specific to what that person is doing.

Automatic feedback appears after the AI has responded and only when Evolve Coach identifies a useful coaching opportunity. It does not interrupt the AI response or comment on every exchange. Professionals can also request feedback on an earlier prompt or review a draft before sending it.

Evolve Coach supports skills including framing intent, providing relevant context, grounding requests, identifying incorrect output, calibrating trust, and knowing when to work without AI.

Evolve Coach currently offers plugins for Claude Code and GitHub Copilot. It is available on macOS and Linux, with Windows support coming soon. Organizations can manage access through Google SSO or Microsoft SSO.

No. Evolve Coach is designed for professional development, not productivity tracking or performance monitoring. Professionals see their own feedback and profile. The organization receives cohort-level information rather than access to an individual’s prompts, coaching notes, or results.

AI coaching, delivered during real work

Evolve Coach gives each professional useful feedback on how they decided, and gives leaders a cohort-level track record of judgment built from real work.