
While you work
01 Use AI as you normally do
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.
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
Scale AI across your organization.
.avif)
You invested in AI. Is it working?
Ten minutes to a clear answer.
Research, guides and tools for teams adopting AI

From pilots to real AI adoption
Scale AI across your organization.
.avif)
You invested in AI. Is it working?
Ten minutes to a clear answer.
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.
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
Scale AI across your organization.
.avif)
You invested in AI. Is it working?
Ten minutes to a clear answer.
Research, guides and tools for teams adopting AI

From pilots to real AI adoption
Scale AI across your organization.
.avif)
You invested in AI. Is it working?
Ten minutes to a clear answer.

Evolve Coach gives you one specific note when it helps, inside the tools you already use. Over time, it builds a track record of your judgment from real work.
AI coaching during everyday work
Every request, correction, override, or decision to step in reflects how you work with AI. Without coaching tied to those moments, you receive no guidance on what you could do differently.
No coaching in the moment
Course completion shows that someone finished the program. It doesn’t verify whether they can apply AI to a role-specific task.

40%
Workday
of the time employees save with AI is lost to correcting, rewriting, and verifying its output.
Course completion shows that someone finished the program. It doesn’t verify whether they can apply AI to a role-specific task.
Activity does not show judgment
Course completion and usage dashboards show participation and activity. They do not show whether your teams know when not to rely on AI, how to set appropriate guardrails in their prompts, or when an output requires closer review.
Course completion and tool activity show participation. They do not show how you frame requests, review AI output, correct errors, or decide when human intervention is needed.









While you work
01 Use AI as you normally do
Continue working inside your AI tool (Claude Code or GitHub Copilot). Evolve Coach uses the relevant prompt and exchange as context, with no separate exercise, test, or scheduled session.

Using expert-defined behaviors
02 Identify a coaching opportunity
Evolve Coach looks for behaviors in how you frame the task, guide the AI, review its output, and decide when to intervene. It then determines whether one specific coaching note would be useful.

After the AI responds
03 Receive one useful note
When coaching would help, you receive one specific suggestion after the AI responds. Otherwise, Evolve Coach stays silent. Coaching only appears after your AI tool has finished responding, so it does not interrupt your task.

As you continue working
04 Build your track record
Each observed behavior becomes part of your private record. Across real opportunities, patterns are described as consistently, sometimes, or rarely and contribute to the AI profile that reflects how you work with AI. Your organization sees only cohort-level patterns.


.webp)



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.

Expert-defined behaviors

Feedback appears only when it can help

One method across supported AI tools

Profiles reflect patterns over time
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.
The Evolve suite
.webp)
Measure how people apply AI, identify gaps by role and skill, and generate personalized development paths.
.webp)
Map how teams get work done and turn real workflows into owned plans for AI-enabled change.

Improve how people work with AI through brief, evidence-based coaching inside the tools they already use.
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, with support for ChatGPT Enterprise coming soon. 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.

Evolve Coach gives each professional one useful note when it helps and gives leaders a cohort-level track record built from behaviors demonstrated in real work.