AE-101WKExplorerDiscover4 hrsRefreshed 2025-09-21
GPT-5 PreparednessClaude 4 ConstitutionalGrok RealtimeGemini PerceptionEdge Ready

Agent Opportunity Mapping

T1 - Agent Engineering Foundations

Define the agent user journey and outcome - Clarify guardrails, risks, and human touchpoints - Prioritize metrics for success and safety

Design dependable coding agents with clear guardrails and success metrics.

Key outcomes

  • Define the agent user journey and outcome
  • Clarify guardrails, risks, and human touchpoints
  • Prioritize metrics for success and safety

Deliverables

  • Agent opportunity canvas
  • Guardrail hypothesis
  • Success metric stack

Prerequisites

  • None

Evaluation signals

  • AGENT-IDEA-001
  • SAFE-GUARD-BASE

Persona fit

Agent EngineerSolution Architect

Assistant orchestration

View assistant playbook

Scout

Agent

Research horizons, regulation updates, and pattern watchlists.

  • Refresh critical intel within 24 hours of change
  • Maintain 95% citation accuracy
  • Flag module freshness risks automatically

Coach

Agent

Pair with learners during modules, labs, and retrospectives.

  • Median response under 2 seconds
  • Satisfaction above 4.6/5
  • Escalate risky experiments within 10 minutes

Critic

Agent

Guardrails, evaluations, and red-team simulations.

  • Detect 98% evaluation anomalies
  • Zero unlogged high-severity incidents
  • Attach control evidence to every flagged issue

Archivist

Agent

Evidence locker, credential manifests, and knowledge graph links.

  • Tag 100% deliverables with owners and signals
  • Keep schema drift under 1%
  • Generate credential payloads automatically

Companion

Agent

Health, pacing, and personalised nudges across squads.

  • On-time nudges for 90% milestones
  • Keep burnout false positives below 5%
  • Publish weekly sponsor-ready progress snapshots

Navigator

Agent

CTA instrumentation, sponsor digest composition, and mastery guardrails.

  • Cover 95% persona CTAs every sprint
  • Generate sponsor digest drafts within 5 minutes of module completion
  • Hold mastery drift within one tier

Micro lessons

Signal Alignment Canvas

25 min

Objective: Synthesize stakeholder inputs into a single mission brief with measurable success criteria.

Activities

  • Review stakeholder interview notes
  • Highlight desired outcomes vs. guardrail concerns
  • Draft the mission statement

Knowledge checks

  • List the top three mission outcomes.
  • Which guardrail has the highest risk exposure?

Guardrail Mapping Sprint

30 min

Objective: Translate organizational policies into agent-ready guardrail requirements.

Activities

  • Identify policy sources
  • Map policies to agent behaviours
  • Capture human-in-the-loop checkpoints

Knowledge checks

  • Which policy governs data retention?
  • Where is human approval enforced?

Outcome Prioritisation Lab

35 min

Objective: Rank outcomes and risks to guide prototype scope and evaluation focus.

Activities

  • Score outcomes by impact
  • Assess feasibility vs. risk
  • Select success metrics

Knowledge checks

  • Which metric signals guardrail drift earliest?
  • What is your critical success KPI?

Knowledge points

Guardrail Taxonomy

Break risks into safety, compliance, reputational, and operational guardrails so agents can route mitigation paths.

Stakeholder Persona Matrix

Map sponsor, operator, compliance, and end-user personas to pain points and expectations to calibrate the mission brief.

Outcome Metric Stack

Select leading, lagging, and guardrail metrics so the assistant can track mission health automatically.

Micro paths featuring this module

LaunchAgent Engineer

Stand up a dependable coding agent that ships quality pull requests.

Day 1 - Frame and scope
AE-101AE-102
Day 2 - Prototype loop
AE-103RP-201
Day 3 - Guardrails
AE-104OR-501
Day 4 - Demo narrative
CC-401
Day 5 - Handoff
CC-404OR-503
Launch micro path

Credential alignment

This module contributes evidence across multiple credentials. See the credential framework for details.

Primary documentation