A tailored course, built for your situation
Final call on generative AI patterns, without escalation
Make defensible architecture decisions the first time, using internal precedent and team-aligned evaluation criteria
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
The situation this course is for
Who this is for
Senior individual contributor in engineering or data science shaping generative AI adoption within a product-led tech company
Who this is not for
Engineers looking for introductory AI/ML theory or hands-on coding bootcamps
What you walk away with
- Documented decision framework tailored to your team’s priorities and constraints
- Precedent library of internal Atlassian-like alignment points for model selection and deployment
- Stakeholder alignment checklist used by ICs who own final calls
- Reasoning templates that justify architecture choices in language peers adopt
- Confidence to table alternatives confidently, knowing your recommendation will hold
The 12 modules (with all 144 chapters)
Module 1. Why IC ownership of gen AI patterns is accelerating
Explore how top tech companies are pushing decision rights to senior ICs on generative AI components, and the conditions that make it stick.
12 chapters in this module
- The shift from review to ownership
- Where ICs now control final picks
- Signals that your team is ready
- How precedent overrules hierarchy
- Three decision types now decentralized
- Preemption vs escalation rhythm
- Internal adoption curves
- When architects follow leads
- Team-level standard setting
- Ownership without title changes
- Signals from tooling adoption
- Decision gravity by component
Module 2. Mapping where your influence already lands
Identify which decisions you’re already near owning, and what’s missing to make them yours by default.
12 chapters in this module
- Tracing past proposal outcomes
- Who deferred to your pick
- Where feedback stopped
- Mapping stakeholder inertia
- Identifying quiet adoption
- Review depth by peer level
- Pattern: when no one pushes back
- Moments others cite your work
- Tracking unrequested reuse
- Ownership signals in PRs
- Where your name anchors docs
- Decision proximity scoring
Module 3. Building team-specific evaluation criteria
Create lightweight, shared scoring systems that reflect your team’s real trade-offs, not abstract best practices.
12 chapters in this module
- Constraints over preferences
- Latency tolerance bands
- Cost sensitivity thresholds
- Model update frequency needs
- Output stability expectations
- Integration surface priorities
- Team bandwidth for maintenance
- Logging and debugging access
- Security review velocity
- Approval path predictability
- Failover tolerance levels
- Criteria weighting workshop
Module 4. Sourcing internal alignment patterns
Mine existing approvals, tickets, and design docs for the informal rules that already govern what gets accepted.
12 chapters in this module
- Finding approved precedent
- Reading between PR comments
- Ticket resolution language
- Arch board silent approvals
- Docs that got signed off
- Release notes that shipped
- Incident postmortems as guides
- Migration approvals unlocked
- Vendor decisions already made
- Budget allocations as signals
- Tooling investments revealed
- Pattern extraction protocol
Module 5. Structuring defensible recommendation packets
Package your proposals so they answer objections before they arise, using established formats and internal conventions.
12 chapters in this module
- Subject line psychology
- Executive summary flow
- Trade-off presentation order
- Data sourcing standards
- Risk framing that lands
- Alternatives dismissal logic
- Cost modeling transparency
- Timeline realism checks
- Integration dependency map
- Rollback plan clarity
- Adoption ramp expectations
- Template: decision memo draft
Module 6. Embedding reasoning so it persists
Turn your rationale into reusable artefacts that outlive meetings and onboarding cycles.
12 chapters in this module
- Commenting for future readers
- Naming conventions that inform
- Logging decisions in changelogs
- Linking to criteria documents
- Tagging related components
- Storing rejected options
- Versioning decision records
- Onboarding integration points
- Searchable decision index
- Wiki structure for reuse
- Automated decision alerts
- Artefact longevity checklist
Module 7. Navigating peer review with confidence
Handle feedback loops so they refine rather than derail, using calibrated response strategies.
12 chapters in this module
- Classifying feedback types
- When to respond immediately
- When to wait for consensus
- Acknowledgment language
- Data requests handling
- Scope creep resistance
- Technical nit vs principle
- Responding to senior pushes
- Building coalition feedback
- Timing review cycles
- Closing loops decisively
- Feedback resolution log
Module 8. Using quiet adoption to build momentum
Leverage early usage and informal endorsements to shift perception from proposal to inevitability.
12 chapters in this module
- Tracking unrequested usage
- Identifying organic advocates
- Measuring shadow adoption
- Support request trends
- Cross-team reuse signals
- Monitoring dependency growth
- Release note mentions
- Team meeting references
- Slack citation patterns
- Incident involvement spikes
- Adoption flywheel triggers
- Momentum validation checklist
Module 9. Setting precedents others follow
Turn one decision into a pattern others replicate, reducing friction for future proposals.
12 chapters in this module
- Naming your pattern
- Creating template implementations
- Publishing usage stats
- Hosting internal demos
- Documenting setup steps
- Reducing onboarding cost
- Gathering success stories
- Linking to business impact
- Tagging adopters
- Celebrating first reuse
- Feedback loop integration
- Pattern maturity scale
Module 10. Handling escalation without losing ownership
Redirect escalations back to your recommendation by anticipating review needs and pre-answering them.
12 chapters in this module
- Escalation trigger mapping
- Preemptive documentation
- Anticipating reviewer concerns
- Including counterarguments
- Adding second-order impacts
- Budget implication clarity
- Timeline contingency plans
- Risk mitigation depth
- Compliance alignment points
- Operational burden breakdown
- Resubmission avoidance tactics
- Escalation deflection script
Module 11. Scaling influence across adjacent domains
Extend your decision-making credibility into related areas like tooling, data pipelines, and model monitoring.
12 chapters in this module
- Identifying adjacent components
- Mapping shared constraints
- Leveraging existing trust
- Cross-domain criteria alignment
- Proposal bundling strategy
- Joint ownership opportunities
- Expanding review participation
- Building coalition weight
- Inter-team precedent sharing
- Unified evaluation frameworks
- Scope expansion triggers
- Influence perimeter checklist
Module 12. Becoming the default starting point
Position yourself so new projects begin with your patterns, reducing debate and accelerating execution.
12 chapters in this module
- Onboarding curriculum inclusion
- Template project integration
- Tooling defaults setup
- Bootcamp references
- New hire orientation mentions
- Internal search optimization
- Naming standard dominance
- Documentation homepage placement
- Auto-suggested patterns
- Default config embedding
- First-choice recognition
- Starting point validation
How this maps to your situation
- When you're shaping early gen AI integration patterns
- When your recommendations keep getting escalated
- When peers adopt your work but don't cite it
- When you want your framework to become the standard
Before vs. after
Before
Proposals require validation, alternatives linger, and decisions revert without clear ownership.
After
Your recommendations become the baseline, escalation drops, and new projects start from your patterns.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 6, 8 hours total, designed to be completed in short sessions between engineering cycles.
How this compares to the alternatives
Unlike generic AI governance courses, this is tailored to senior ICs in product engineering environments who need to own decisions without formal authority. It focuses on influence through precedent, not policy.
Frequently asked
Is this about getting promoted?
No. This is about owning technical decisions now, regardless of title, by building defensible, team-aligned proposals that stick.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me lead cross-team initiatives?
Yes. By establishing your patterns as defaults, you reduce coordination overhead and increase adoption across teams.
$199 one-time. 6, 8 hours total, designed to be completed in short sessions between engineering cycles..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours