AI Learning-Coach Agent
Works inside your team's chat tools. It answers "how do we...?" from your playbooks, suggests a micro-lesson when someone needs it, and prompts short reflections after key moments.
From $20/user/month
AI learning agents
Agents that run on your knowledge and context.
AI agents that coach in the moment, run retros, and capture lessons, drawing on your organization's own captured knowledge. They handle the menial so your people can do the meaningful.
Let AI agents handle the menial,
so people can do the meaningful.
Context-driven
Generic AI knows the internet. Yours should know your organization.
Our agents are grounded in what your people have captured: playbooks, lessons learned, how-tos, retro insights, and notes from cohorts and boot camps. As your teams keep capturing, the agents keep getting more useful.
- Grounded in your captured knowledge and context
- Live where work happens (chat, team tools, courses)
- People review what's captured; agents assist and people decide
- Privacy-first design and clear AI-use guidance (details to be confirmed)
The agent lineup
Retro & Reflection Agent
Runs retrospectives and after-action reviews, drafts lessons learned for the team to review, and shares them across teams so one team's insight helps many.
From $249/team/month
In-the-workflow learning agents
Playbook, onboarding and course-companion agents that turn your organization's practices into a conversational coach, available right inside the work.
Setup from $5,000 + subscription
Retro agentSprint review done. Three quick questions: what worked, what surprised you, and what would you change?
TeamPairing on the data migration saved us days. The test environment surprised us. Again.
Retro agentDrafted two lessons learned for your review. Another team captured a test-environment fix last month. Want me to link it?
Illustrative conversation, not a real product transcript.
Menial vs. meaningful
What agents take off your plate
- Finding the right template, playbook or past lesson
- Drafting retro notes and lessons learned
- Reminders, reflection prompts and follow-ups
- Connecting people with peers who've solved the same problem
That leaves people more time for the meaningful work: judgment, creativity, relationships and real problem-solving.
Next step
Explore a pilot.
We're shaping early agent pilots with a small number of teams. These agents are in development.