// AI tutor, manager coach, curriculum designer, and red-team reviewer

$ coach --ai_readiness="every_role"

AIducation turns grading evidence into coaching. Every role academy gets an AI tutor for learners, an AI coach for managers, an AI curriculum designer for admins, and a red-team reviewer for risky outputs.

AI-native coaching layer

15
Role coaches
4
Coach modes
46
Failure explanations
60
Red-team checks
[+] AIducation for Support stays first, but the coaching model spans 15 role academies.

// Coach_modes

The coach layer is split by audience so learners, managers, admins, and reviewers get different jobs-to-be-done from the same readiness evidence.

learner

AI tutor

Guides learners through role-specific concepts, missions, simulations, and corrections.

manager

AI manager coach

Turns attempts, benchmarks, and credentials into team coaching priorities.

admin

AI curriculum designer

Helps admins convert roles, policies, docs, calls, tickets, and work samples into training objects.

reviewer

AI red-team reviewer

Reviews submissions, AI outputs, and generated content for risky behavior before publishing or credentialing.

// Role_coach_profiles

Each role coach explains failures in the language of that team, recommends practice, flags risk, and packages evidence for managers.

AIducation for Support

Support AI readiness coach

first wedge

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Support readiness.

  • [!] The answer promised an action before verifying policy and account evidence.
  • [!] The response used an AI draft without preserving empathy or escalation judgment.
AIducation for Sales

Sales AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Sales readiness.

  • [!] The outreach made unsupported claims or weakly connected the offer to buyer pain.
  • [!] The follow-up missed the actual objection from the call or account context.
AIducation for Marketing

Marketing AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Marketing readiness.

  • [!] The asset drifted from brand voice or made a claim without performance evidence.
  • [!] The campaign idea did not connect audience, offer, channel, and measurement.
AIducation for HR

HR AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for HR readiness.

  • [!] The answer mishandled sensitive employee context or introduced fairness risk.
  • [!] The policy guidance sounded authoritative without a clear approval path.
AIducation for Finance

Finance AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Finance readiness.

  • [!] The analysis did not verify calculations, assumptions, or source data.
  • [!] The summary blurred fact, forecast, and interpretation.
AIducation for Engineering

Engineering AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Engineering readiness.

  • [!] The coding-agent recommendation was not checked against actual code paths.
  • [!] The review missed a behavioral or architecture risk in generated code.
AIducation for Product Managers

Product AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Product readiness.

  • [!] The PRD or synthesis kept vague AI language instead of testable requirements.
  • [!] The recommendation flattened research nuance into false certainty.
AIducation for Executives

Executives AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Executives readiness.

  • [!] The learner skipped the Separate AI hype from operational value skill atom.
  • [!] The submission did not produce manager-visible evidence for Org readiness map.
AIducation for Operations

Operations AI readiness coach

An AI tutor, manager coach, curriculum designer, and red-team reviewer for Operations readiness.

  • [!] The learner skipped the Turn messy process notes into usable SOPs skill atom.
  • [!] The submission did not produce manager-visible evidence for Automation readiness.

// Coaching_loop

The coach layer completes the learn-practice-grade-improve loop: it explains the miss, assigns the next repetition, and keeps the evidence trail ready for credentials and manager reports.

Tutor

Explains concepts, missions, and rubric misses in the learner's role context.

Practice

Routes learners into daily missions, simulations, tool labs, and retry loops.

Grade

Connects universal grading results to skill atoms, rubrics, and credentials.

Red-team

Flags hallucination, privacy, policy, security, authority, and overreach risk.

// Red_team_and_escalation

Coaches do not just praise answers. They identify risky AI behavior, explain the failure mode, and route critical misses to managers or admins before bad habits reach live work.

Connect coaching to readiness benchmarks
[!] Hallucinated facts, citations, calculations, or customer context
[!] Sensitive data entered into the wrong AI tool or prompt
[!] Policy, authority, or compliance boundary ignored
[!] Support workflow output that cannot be verified by a manager