New product? Big migration? Groom the whole team — with a shadow.
The engine we use to turn candidates into AI-native engineers works on your team too: a structured program for any topic, an AI shadow that mentors and observes every person, and telemetry that tells you who's actually ready.
From topic to team readiness in four moves
Bring the topic
A new product your team must master, a migration (say, on-prem to Kubernetes), a technology bet, or a role transition. We turn it into a structured, day-by-day program on the Miatz engine — chapters, quizzes, flashcards, drills.
Mysty shadows every person
Our AI shadow engineer works alongside each team member: explains in context, proposes next steps (propose-and-approve, never autonomous), nudges the daily loop, and grades practice — while every interaction lands in an audit log.
Pressure-test on your scenarios
War-Room drills built from YOUR failure modes: the migration cutover going sideways, the incident your on-call fears. People practice the call before they're on the call.
Read the telemetry
Per-person mastery by competency, confusion surfaced from daily reflections, drill scores, streaks and momentum — a live readiness dashboard instead of a completion certificate.
Enablement that produces evidence
Faster than shadowing seniors
Your seniors stop being the bottleneck. Mysty gives every learner a patient, always-on senior; your experts review the audit log instead of repeating themselves.
Same engine that trains our cohorts
This isn't repackaged slideware. It's the exact mastery-gated system — spaced repetition, daily reps, incident drills — that we run our own selective cohorts on.
Evidence, not attendance
You get verifiable, per-person records of decisions and demonstrated skills. Promotion, staffing and go-live calls get made on evidence.
Confusion becomes visible
Daily check-ins and reflections surface exactly where the team is fuzzy — before it becomes a production incident or a stalled migration.
Corporate FAQ
What can Miatz onboard a team onto?
Anything explainable and practicable: a new internal product, a cloud or database migration, a new framework or AI stack, security practices, incident response, or a role transition like engineer-to-TPM.
How does the AI shadow work with employees?
Mysty works propose-and-approve: it explains, suggests and drills, but a human approves every consequential step. Every interaction is audit-logged, so leads can review how each person reasons.
What does the company see?
A readiness dashboard: mastery by competency per person, drill scores, momentum, and surfaced confusion — evidence for go-live and staffing decisions, not a completion percentage.
What does it cost?
We're in our founding phase and structuring early corporate pilots individually. Write to us and we'll scope it together.
Scope a pilot with us
Tell us the product, migration or topic — we'll come back with a program outline and what the telemetry will show you.