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1bc5efd
docs: add canonical architecture terminology glossary
cdcavell Aug 22, 2026
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cdcavell Aug 22, 2026
ac650d3
docs: add visual learning path map
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docs: add learner self-assessment criteria
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docs: add AI governance observability tracing
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samples: add policy simulation harness
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a3a6668
fix: resolve policy simulation test namespace collision
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fix: isolate policy simulation test assembly namespace
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docs: streamline README with progressive disclosure
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docs: add permanent technical articles publication surface
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docs: publish authorization timing article
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docs: publish .NET package trust article
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docs: improve article discovery and feed metadata
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test: isolate governance observability traces
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ec38138
docs: improve RSS channel image metadata
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Add repository discussion templates and community guidance
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docs: Add social image to root README
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88c00f1
Refresh Learning site icon and favicon branding
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Add GitHub social preview image for Learning
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1f033f1
Merge branch 'issue_work' of https://github.com/AsiBackbone/Learning …
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7446bdd
Merge branch 'issue_work' of https://github.com/AsiBackbone/Learning …
cdcavell Aug 23, 2026
8ea7db7
Add role, claims, and capability authorization comparison
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2a17dca
Add gateway, mesh, zero-trust, and governed execution comparison
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Add workflow, approval, and governed execution comparison
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e798183
Add policy engine and distributed enforcement comparison
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Add agent and tool authorization comparison
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f3e854b
Add event sourcing and governance provenance comparison
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fadb0f4
Add CQRS and governed execution comparison
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cdcavell Aug 24, 2026
024010c
feat: generate and validate published site sitemap
cdcavell Aug 25, 2026
951acd1
fix: avoid pre-deployment sitemap link validation failure
cdcavell Aug 25, 2026
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cdcavell Aug 25, 2026
6281b4a
feat: notify search engines of changed Learning URLs
cdcavell Aug 25, 2026
24d984d
fix: make IndexNow payload serialization AOT-safe
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995b92a
docs: strengthen contextual linking across Learning
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faf0690
docs: add problem-oriented standalone article backlog
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docs: add governed administrative operation case study
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33ee8af
docs: add sensitive-data access decision case study
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e4959f5
docs: add deployment and infrastructure gate case study
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8747d6a
fix: repair Mermaid diagrams and simplify top navigation
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281b8f2
docs: add AI-assisted API and tool gateway case study
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docs: add multi-tenant regional policy overlay case study
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docs: add human acknowledgment workflow case study
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docs: add capability-scoped background operation case study
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ab7127c
Fix Mermaid sequence diagram syntax in background operation case study
cdcavell Aug 25, 2026
a1b6e41
Fix Mermaid claim-revocation race diagram rendering
cdcavell Aug 25, 2026
e44104f
Fix Mermaid claim-revocation race diagram rendering
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cdcavell Aug 25, 2026
cb98479
Merge branch 'issue_work' of https://github.com/AsiBackbone/Learning …
cdcavell Aug 25, 2026
e4a28e4
docs: add simulated robotics governance case study
cdcavell Aug 25, 2026
627170b
docs: fix robotics case study bookmarks
cdcavell Aug 25, 2026
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2c92f88
docs: reconcile roadmap with current repository state
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a145cb6
docs: add decision pipeline refactoring lab and sample
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d72d830
docs: publish denied-operation execution invariant article
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docs: publish ASP.NET Core authorization decision guide
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761010b
Add competing policy architecture comparison lab
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cdcavell Aug 26, 2026
116dbe4
feat(learning): add cross-system capability exchange guidance and sample
cdcavell Aug 27, 2026
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cdcavell Aug 27, 2026
5836416
feat(learning): add federated governance coordination material
cdcavell Aug 27, 2026
b472eb7
fix(samples): handle nullable federation contribution lookup
cdcavell Aug 27, 2026
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cdcavell Aug 27, 2026
6d9f854
feat(learning): add distributed acknowledgment continuation material
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594dab3
feat(learning): add human decision explainability material
cdcavell Aug 27, 2026
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9d4ca16
feat(learning): add adaptive risk freshness and drift material
cdcavell Aug 27, 2026
5a9bc77
feat(learning): add adaptive risk freshness and drift material
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cdcavell Aug 27, 2026
7f1fce0
docs: add durable decision ledger and audit chain learning material
cdcavell Aug 28, 2026
02dad4c
docs: replace retired Amazon QLDB reference
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c7b608a
docs: improve executable sample discoverability
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bd6b65d
docs: complete sample navigation and simplify breadcrumbs
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docs: publish AI tool proposal authority article
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docs: publish roles claims and capability selection article
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4c39e02
docs: correct governance licensing statement
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7ccbe69
docs: correct lab heading hierarchy
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docs: restore missing catalog entries
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docs: standardize pattern classifications
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docs: add missing page orientation metadata
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Check DOI links, remap tree/main, and validate anchors (#265)
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Give CITATION.cff a DOI and canonicalize Zenodo relations (#266)
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fix: trigger docs publishing on the metadata validator and make the f…
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fix: normalize publication date metadata
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fix: clean up DocFX template layout
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docs: disambiguate fictional ADR lifecycle example
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docs: normalize repository content conventions
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Add standalone article on audit records as evidence
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Merge branch 'issue_work' of https://github.com/AsiBackbone/Learning …
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security: harden Learning repository host controls
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docs: add OpenSSF Best Practices badge to README
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Align Learning workflows with global.json SDK selection
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Optimize Getting Started learning navigation
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Fix Getting Started foundation anchor
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106 changes: 81 additions & 25 deletions docs/getting-started/adoption-personas-and-entry-points.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,110 +4,166 @@ description: Choose a Learning path based on whether you are a developer, system

# Adoption Personas and Entry Points

Learning is intended for several kinds of readers. The architecture is easier to evaluate when each reader starts with the question they actually own.
ASI Backbone Learning supports several kinds of readers. You do not need to read every topic in sequence before deciding whether the architecture is relevant to your work.

Start with the responsibility you own, follow the shortest useful path, and evaluate the boundaries rather than assuming the framework is the answer.

This page is an educational navigation guide, not a claim that every role should adopt the AsiBackbone package.

## Senior developer
## Choose the Responsibility You Own

| If you are primarily responsible for... | Start with this role path | Core question |
| --- | --- | --- |
| Application code and maintainable decision boundaries | [Senior developer](#senior-developer) | Can I add governance without losing control of the application? |
| Runtime behavior, observability, and recovery | [System engineer](#system-engineer) | Where does the boundary sit operationally, and what must be observable? |
| Organization-wide responsibility boundaries | [Enterprise architect](#enterprise-architect) | What should be standardized, and what should remain application-owned? |
| Reusable platform capabilities and paved roads | [Platform engineering team](#platform-engineering-team) | Can this be reusable without becoming a monolith? |
| AI tools, agents, and model-mediated actions | [AI integration architect](#ai-integration-architect) | How do I keep model output as proposal rather than execution authority? |
| Trust, evidence, security, and compliance review | [Security or compliance reviewer](#security-or-compliance-reviewer) | What evidence exists, and what does that evidence not prove? |
| Regional, tenant, program, or regulatory constraints | [Public-sector or regulated-system engineer](#public-sector-or-regulated-system-engineer) | How can policy vary without hard-coding every rule into the core application? |

Role names are entry points, not strict job titles. If your responsibility spans several rows, begin with the question closest to the decision you need to make and then cross into the adjacent path.

## How to Use These Paths

Each path is intentionally short:

```text
Responsibility
Architectural question
Focused reading path
Evaluation criteria
Working implementation, if needed
```

As you read, keep the same architectural boundary in view:

> **Governance may evaluate and constrain an operation without owning the final execution authority.**

The goal is to determine whether that separation improves your system enough to justify its lifecycle, evidence, and operational complexity.

## Role-Based Paths

### Senior developer

**Typical question:** Can I add a stronger decision boundary without losing control of the application?

Start with:
**Start with:**

1. [Decision Before Execution](../tutorials/decision-before-execution.md)
2. [When a Simple Application Service Is Enough](../architecture/when-a-simple-application-service-is-enough.md)
3. [Policy Context and Explicit Decision Outcomes](../tutorials/policy-context-and-explicit-decision-outcomes.md)
4. [Executable Samples](../samples/index.md)

Look for clean seams, testability, and whether the extra lifecycle earns its complexity.
**Evaluate for:** clean seams, testability, understandable control flow, and whether the extra lifecycle earns its complexity.

## System engineer
### System engineer

**Typical question:** Where does this decision boundary sit operationally, and what must be observable?

Start with:
**Start with:**

1. [Intent to Execution: An Accountability Pattern](../architecture/intent-to-execution-accountability-pattern.md)
2. [Policy Versioning and Decision Provenance](../governance/policy-versioning-and-decision-provenance.md)
3. [AI Governance Observability and End-to-End Decision Tracing](../ai-integration/ai-governance-observability-and-end-to-end-decision-tracing.md)
4. [Durable Decision Ledgers and Cryptographic Audit Chains](../advanced/durable-decision-ledgers-and-cryptographic-audit-chains.md)

Focus on correlation, failure recovery, replay, evidence, and execution reconciliation.
**Evaluate for:** correlation, failure recovery, replay, durable evidence, and execution reconciliation.

## Enterprise architect
### Enterprise architect

**Typical question:** Which responsibilities should be standardized, and which should remain application-owned?

Start with:
**Start with:**

1. [Accountable Systems Infrastructure and Governed Execution](../architecture/accountable-systems-infrastructure-and-governed-execution.md)
2. [Governance Tool Selection and Composition](../architecture/governance-tool-selection-and-composition.md)
3. [Policy Engines, Rules Engines, and Distributed Policy Enforcement](../architecture/policy-engines-rules-engines-and-distributed-policy-enforcement.md)
4. [Federated Governance and Independent Authority Coordination](../advanced/federated-governance-and-independent-authority-coordination.md)

Focus on responsibility boundaries rather than forcing one implementation across every workload.
**Evaluate for:** responsibility boundaries, composition, portability, and whether standardization preserves application ownership instead of forcing one implementation across every workload.

## Platform engineering team
### Platform engineering team

**Typical question:** Can the pattern become an internal paved road without becoming a monolithic framework?

Start with:
**Start with:**

1. [Governance Spine and Capability Validation Diagrams](../architecture/governance-spine-and-capability-validation-diagrams.md)
2. [Scoped Capability and Host-Owned Execution](../tutorials/scoped-capability-and-host-owned-execution.md)
3. [Deployment Approval and Infrastructure Change Gates](../case-studies/deployment-approval-and-infrastructure-change-gates.md)
4. [Refactor Scattered Governance Checks](../labs/refactor-scattered-governance-checks.md)

Focus on reusable contracts, safe defaults, extension seams, and escape hatches.
**Evaluate for:** reusable contracts, safe defaults, extension seams, operational ownership, and escape hatches.

## AI integration architect
### AI integration architect

**Typical question:** How do I keep model output as a proposal rather than execution authority?

Start with:
**Start with:**

1. [Governed AI Tool Gateway](../tutorials/governed-ai-tool-gateway.md)
2. [Agent and Tool Authorization Models and Host-Owned Execution](../architecture/agent-and-tool-authorization-models-and-host-owned-execution.md)
3. [Typed AI-Proposed Intent and Schema-Validation Boundaries](../ai-integration/typed-ai-proposed-intent-and-schema-validation-boundaries.md)
4. [AI-Assisted API and Governed Tool Gateway](../case-studies/ai-assisted-api-and-governed-tool-gateway.md)

Focus on authoritative host context, credential custody, bounded retry, and final executor control.
**Evaluate for:** authoritative host context, credential custody, schema validation, bounded retry, and final executor control.

## Security or compliance reviewer
### Security or compliance reviewer

**Typical question:** What evidence exists around a consequential decision, and what does that evidence not prove?

Start with:
**Start with:**

1. [Trust Boundaries and Least Privilege](../security/trust-boundaries-and-least-privilege.md)
2. [Acknowledgment and Audit Residue](../tutorials/acknowledgment-and-audit-residue.md)
3. [Signing, Verification, Key Custody, and Tamper Evidence](../security/signing-verification-key-custody-and-tamper-evidence.md)
4. [Governed Execution in Regulated Systems](../advanced/governed-execution-in-regulated-systems.md)

Focus on the difference between evidence contribution and compliance, certification, non-repudiation, or complete security control coverage.
**Evaluate for:** trust boundaries, least privilege, evidence quality, key custody, and the difference between evidence contribution and compliance, certification, non-repudiation, or complete security control coverage.

## Public-sector or regulated-system engineer
### Public-sector or regulated-system engineer

**Typical question:** How can regional, program, tenant, or regulatory constraints shape decisions without hard-coding every rule into the core application?

Start with:
**Start with:**

1. [Regional and Tenant Policy Overlays](../advanced/regional-and-tenant-policy-overlays.md)
2. [Regional Policy and Operational Gateways](../advanced/regional-policy-and-operational-gateways.md)
3. [Governed Execution in Regulated Systems](../advanced/governed-execution-in-regulated-systems.md)
4. [Multi-Tenant and Regional Policy Overlay](../case-studies/multi-tenant-and-regional-policy-overlay.md)

Focus on policy ownership, versioning, local autonomy, evidence, and safe host-owned execution.
**Evaluate for:** policy ownership, versioning, local autonomy, evidence, change control, and safe host-owned execution.

## Shared Evaluation Questions

## Evaluating the implementation repositories
Regardless of role, the architecture should make these questions easier to answer:

Learning owns the architecture teaching.
1. **Who proposes the action?**
2. **Who supplies authoritative context and constraints?**
3. **Who decides whether the action may proceed?**
4. **What authority is granted, for what scope, and for how long?**
5. **Who performs the real-world action?**
6. **What evidence survives the decision and execution path?**
7. **What happens when context, policy, authority, or the target resource changes?**

If you decide to evaluate the working implementations:
If the architecture cannot answer those questions more clearly than a simpler design, the additional governance lifecycle may not be justified.

## Evaluating the Implementation Repositories

Learning owns the architecture teaching. The working repositories own their current implementation details.

If you decide to evaluate those implementations:

- [AsiBackbone/AsiBackbone](https://github.com/AsiBackbone/AsiBackbone) documents its own concrete packages, APIs, runtime behavior, compatibility, and security posture.
- [AsiBackbone/NetCoreApplicationTemplate](https://github.com/AsiBackbone/NetCoreApplicationTemplate) documents its own application-template implementation details.

Use Learning to understand and challenge the architectural pattern. Use the implementation repositories to verify how that pattern is currently realized.

Do not use a Learning example as a substitute for current product documentation.

---
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