RockMouse Labs

AI agents that coach, map, assess and create, inside your program.

Each one is shaped to your capability framework, your tone and your evidence base, with a person approving every output before it reaches a learner. Pick an agent below and run it. The response is live, not a mockup.

Try an agent How we build them

Built for graduate programs, professional bodies, leadership pathways, frontline teams and the L&D teams behind them.

Debate Coachlive sample

You

We should launch the new customer process next month even though testing isn't complete. We can fix issues as they arise.

"Fix issues as they arise" transfers risk from the organisation to your customers, without their knowledge. That's externalising a quality problem, not agility. What specifically breaks if you delay two weeks? I want a number, not a feeling.

Who we build for

Every agent is built for a moment in a real program.

Find the cohort you're responsible for. Each agent opens in a new tab and runs with sample data or your own.

Professionals and members

Capability frameworks, ethical pressure, and the conversations that test both.

New and senior leaders

The transition into leadership, and the executive team that has to hold together.

Frontline teams

Retail floors and contact centres, where the conversation is the job.

The L&D team

Reading the cohort, checking what people really understand, and deciding what AI should and should not do.

Content creation

Getting expertise out of people's heads and into content that stays current.

Graduates and early careers

The first months, where confidence and speaking up decide who thrives.

How we build

Six tests every agent has to pass, and six patterns we build from.

The tests are non-negotiable. The patterns are the vocabulary we use to work out what to build next, and in what order.

1
Human in the loop, alwaysAI drafts. A person reviews and approves before anything reaches a learner.
2
Context before contentAnchored in your programs, rubrics and capability model, never a generic learner.
3
Additive, not disruptiveTakes the least rewarding manual work and gives expert time back to judgement.
4
Data for learning, not surveillanceLearner data stays inside the learning journey, never in performance management.
5
Progressive complexityOne use case, one context, one output type first. Scale once it earns trust.
6
Easily contextualisedSwap the industry, tone and evidence base without rebuilding the agent.

Scenario CoachBranching dilemmas and roleplay with a debrief against your framework.5 live

Content Creation AgentDrafts, maintains and evolves learning content, from SME interview to storyboard.4 live

Pathway MapperLinks what a learner knows to what's possible next.3 live

Insights AgentTurns reflections and cohort signals into usable patterns, without exposing individuals.2 live

Team CoachWorks inside group sessions and facilitated engagements, not one to one.2 live

Assessment AgentDrafts feedback against a rubric and flags marker drift, with human sign-off.2 live

Have a program in mind?

Tell us the cohort and the moment you want to change. Most first agents ship in a few weeks, narrow by design, and grow from there.

hello@rockmouse.com.au