Delivery Mapping Examples

Goal

This document provides first concrete examples of how the same AletheIA meaning can be mapped across different delivery surfaces.

In simple terms:

if Alpha 6 is about distribution without core distortion, it should show a few practical examples of how one framework concept can appear in more than one surface without changing its meaning.

Why this matters

Preset taxonomy, adapter taxonomy, and adoption modes define the model.

But teams also need to see what that model looks like in practice.

Delivery mapping examples help answer questions such as:

how does the same concept appear in a repo-native surface versus an agent instruction surface?
what should stay semantically identical even when the wording or format changes?
how much compression is safe before meaning starts to drift?

These examples are not implementation tooling. They are illustrative mappings for how Alpha 6 should think.

Mapping principle

A delivery mapping is healthy when:

the same framework meaning survives across surfaces
compression changes form without changing intent
the canonical docs remain the reference source
adapters stay subordinate to the framework, not the other way around

A delivery mapping is unhealthy when:

one surface quietly changes policy or scope
a compressed format becomes a hidden fork
a tool-specific output starts to redefine framework truth

Example 1 — Governance baseline

Canonical repo-native meaning

The repo-native surface explains that AletheIA introduces an operating layer between output and action, with explicit governance, validation, and learnings.

Compressed agent-instruction mapping

An agent-instruction surface might compress that into a small operational reminder such as:

do not treat raw model output as execution authority
respect explicit governance and validation expectations
prefer blocking or escalation over unsafe closure

Meaning that must remain stable

model output does not directly become action
governance still has blocking authority
validation still matters before closure

Meaning that may vary by surface

narrative depth
wording style
file format
ordering of supporting explanation

Example 2 — Project extension boundary

Canonical repo-native meaning

The repo-native docs explain that the framework core should remain reusable while project-local rules stay in a clearly separated extension layer.

Existing-project adoption mapping

A project adoption surface might express that as:

keep reusable framework rules in shared AletheIA surfaces
keep local business constraints in a project extension doc
do not silently promote local habits into framework truth

Meaning that must remain stable

core and local extension are distinct layers
local rules can exist without redefining the framework
reuse depends on that boundary staying visible

Example 3 — Handoff continuity

Canonical repo-native meaning

Alpha 4 defines a handoff as a restart package rather than a loose summary.

Handoff adapter mapping

A handoff surface might compress that into fields such as:

dominant frontier
allowed files
forbidden files
semantic guardrails
validation already performed
next action

Meaning that must remain stable

the handoff is operational, not merely narrative
the next agent should inherit scoped continuity, not hidden assumptions
restart quality matters more than transcript volume

Meaning that may vary by surface

exact field ordering
level of detail
whether the artifact is rendered for humans, agents, or both

Example 4 — Structured risk inference

Canonical repo-native meaning

Alpha 5 defines structured risk inference as a selective step for higher-risk work where evidence, assumptions, unknowns, and validation gaps should be surfaced before execution.

Review-oriented mapping

A review surface might compress that into:

question
evidence
assumptions
invariants
risks
suggested tests
confidence

Meaning that must remain stable

inference is selective, not universal ceremony
the artifact improves reviewability rather than pretending to formally verify correctness
risk and validation stay linked

Example 5 — Adoption mode mapping

Canonical repo-native meaning

Alpha 6 adoption modes define Lite, Standard, and Fuller as entry postures for how much structure to introduce initially.

Delivery mapping example

A lightweight onboarding surface might say:

start with governance baseline, overview, and apply-to-existing-project guidance
postpone richer handoffs and inference artifacts until they are justified

A fuller operating surface might say:

activate the Alpha 3 adoption baseline
use Alpha 4 handoff discipline across agent boundaries
use Alpha 5 artifacts selectively for higher-risk work

Meaning that must remain stable

adoption depth changes entry posture, not framework meaning
lighter does not mean careless
fuller does not mean mandatory for every team

Example 6 — Constrained local distribution

See:

examples/distribution/constrained-adoption-mapping.md

That example shows a tangible Alpha 6 combination:

preset: existing project adoption
adapters: repo-native + agent instruction
adoption mode: standard
project extension: local constraints kept outside framework core

This helps make Alpha 6 easier to explain as plugable through local extension without claiming enterprise-readiness.

What these examples should not become

These examples should not become:

hidden normative templates for every tool
proof that one editor should become canonical
substitute docs for the canonical repo-native surfaces
premature CLI or generator contracts

Their role is illustrative. They help Alpha 6 show what safe delivery variation looks like before tooling exists.

Good signs

The delivery mapping model is healthy when:

one can move from canonical docs to compressed surfaces without losing meaning
teams can compare surfaces and still recognize the same framework
future tooling has examples of fidelity to preserve
Alpha 6 stays rooted in delivery clarity rather than tool preference