Better AI adoption starts with better human skills.

Turn sessions into useful coaching

Look at task framing, verification, decision ownership and five other behaviors. Give each developer a small set of next steps tied to examples from their own work.

• Find training needs without reducing a person to a productivity score.
• Follow recommendations over later periods.
• Keep feedback consistent while tailoring its wording to the person.

Transparent by design

A trustworthy rollout is voluntary, explained in advance and focused on development. Session collection requires consent. Reviewers approve feedback before it enters personal reports.

• No developer leaderboards or hidden monitoring.
• No automated employment or performance-review decisions.
• A personal report contains that person's approved data; the reviewer report stays with the reviewer.

What works today

The local Claude Code plugin supports team mode, multiple periods, group reports and reviewer approval. You control the workspace and share the reports yourself. A group file contains participants' data: present it carefully rather than distributing it as a personal report.

Managed team offering — exploring early access

We are exploring what a useful managed offering should look like. There is no hosted SaaS, enterprise integration or self-hosted service to promise today. A pilot conversation starts with your requirements.

Start with the constraints

Tell us which tools your team uses and what better collaboration would look like. The application includes these optional pilot questions, so your answers reach us together with your request.

• How many developers would join, and is participation opt-in?
• What are your privacy and cloud-processing constraints?
• Do you require self-hosting or a particular model provider?
• How do you currently train and coach AI-assisted development?
• What observable change would make a pilot worthwhile?