LLMOps-alignedEvidence-cappedRCA openNo full-platform claim

LLMOps Readiness & Evidence Calibration

How AI-assisted delivery can be made measurable before claiming maturity.

This page shows how AIOS separates governance intent from evidence-backed maturity, so AI-assisted delivery claims stay tied to receipts, evaluation readiness, telemetry design, and release controls.

Current expectation

AIOS LLMOps readiness is mostly Tier 1-2: LLMOps-aligned governance and evidence discipline with documented controls, but not operational LLMOps telemetry, monitoring, security testing, prompt/model registry, or repeatable eval loops yet.

What this page claims, and what it does not

AIOS is LLMOps-aligned in governance intent and evidence discipline. It is not claimed as a full LLMOps platform.

It does not yet claim provider-backed runtime telemetry, an operational monitoring loop, a complete prompt/model/config registry, production-grade automated LLMOps enforcement, full multi-agent/provider execution proof, or RCA closure for rows 1, 2, and 3.

Visual Readiness Summary Dashboard

Score range

1-2 / 5

Mostly conceptual or documented

Evidence state

Documented

Not locally validated or operationalized

RCA open

3 / 12

Rows 1-3 stay capped

Telemetry

Partial

Process receipts present; provider usage missing

Public claim

Capped

Evidence-backed score only

Evidence tier distribution graph

Most capabilities stop at Tier 1-2.

Tier 0: Missing0 capabilities

No usable evidence yet.

Tier 1: Conceptual4 capabilities

Idea exists, but evidence is fragmented.

Tier 2: Documented8 capabilities

Spec, checklist, or design artifact exists.

Tier 3: Validated local0 capabilities

Used in a local run with validation result.

Tier 4: Repeatable repo-backed0 capabilities

Reusable checker, schema, or workflow exists in repo.

Tier 5: Operationalized0 capabilities

Ongoing runtime telemetry, monitoring, or feedback loop exists.

How to read this score

The scale measures evidence, not ambition.

0 = Missing: no usable evidence yet

1 = Conceptual: idea exists, but evidence is fragmented

2 = Documented: spec/checklist/design artifact exists

3 = Validated local: used in a local run with validation result

4 = Repeatable repo-backed: reusable checker/schema/workflow exists in repo

5 = Operationalized: ongoing runtime telemetry, monitoring, or feedback loop exists

Tier 2 means documented evidence exists, but the capability is not yet locally validated, repeatable, or operationalized.

Capability score bar chart

No readiness axis is above 2 / 5 yet.

Rows 1-3 are strong governance patterns, but stay capped because reusable LLMOps schemas, receipts, and validators are still missing.

Claim boundary control

Current score: 2 / documented tier 2

RCA open

2/5

Evidence we have

Public non-claim rules, review rubrics, and claim-boundary wording patterns.

Missing for upgrade

Reusable claim-boundary schema and validation scan.

Required to upgrade

Create CLAIM_BOUNDARY_SCHEMA.md and run a claim-boundary scan on future LLMOps reviews.

Gate and authority model

Current score: 2 / documented tier 2

RCA open

2/5

Evidence we have

Owner gate records, role-routing plan, and authority boundaries in review receipts.

Missing for upgrade

LLMOps role authority map and reusable gate receipt.

Required to upgrade

Create LLMOPS_ROLE_AUTHORITY_MAP.md and require gate receipts before score upgrades.

Evidence receipts

Current score: 2 / documented tier 2

RCA open

2/5

Evidence we have

Route ledgers, QA receipts, deploy receipts, and telemetry closeout files.

Missing for upgrade

Score-to-evidence receipt schema and reusable validation output.

Required to upgrade

Create EVIDENCE_RECEIPT_SCHEMA.md and map each score to named evidence.

Artifact traceability

Current score: 2 / documented tier 2

Documented

2/5

Evidence we have

Audit, patch proposal, owner decision, patch receipt, QA report, and deploy report paths.

Missing for upgrade

Reusable artifact traceability schema and checker.

Required to upgrade

Create ARTIFACT_TRACEABILITY_SCHEMA.md and a repeatable trace check.

Release readiness gates

Current score: 2 / documented tier 2

Documented

2/5

Evidence we have

Owner deploy authorization, QA acceptance, lint/build validation, and Surface Runner checks.

Missing for upgrade

LLMOps-specific release readiness gate with validation command.

Required to upgrade

Create LLMOPS_RELEASE_READINESS_GATE.md and enforce it before public changes.

Runtime telemetry schema

Current score: 2 / documented tier 2

Caveated

2/5

Evidence we have

Telemetry schema and design artifacts are documented in the evidence packet.

Missing for upgrade

Schema-valid runtime run and provider-backed usage telemetry.

Required to upgrade

Create RUNTIME_TELEMETRY_SCHEMA.md, RUN_TELEMETRY_EXAMPLE.json, validation command, and one valid local run record.

Defect taxonomy

Current score: 1 / documented tier 1

Conceptual

1/5

Evidence we have

Defect categories are discussed in readiness planning but not formalized.

Missing for upgrade

Reusable AI defect taxonomy with examples and score impact.

Required to upgrade

Create AI_DEFECT_TAXONOMY.md and map defects to validation reports.

Evaluation set

Current score: 2 / documented tier 2

Caveated

2/5

Evidence we have

Thin retrieval evaluation evidence exists, including expected and forbidden retrieval cases.

Missing for upgrade

Reusable LLMOps golden, adversarial, refusal, and grounding eval suite.

Required to upgrade

Create LLM_EVAL_GOLDEN_SET.md with rubric, rerun trigger, and result report.

RAG/source governance

Current score: 2 / documented tier 2

Caveated

2/5

Evidence we have

RAG/source governance evidence exists for index, permissions, freshness, and forbidden retrieval.

Missing for upgrade

Dedicated LLMOps source registry and stale-source rejection checker.

Required to upgrade

Create RAG_SOURCE_REGISTRY.md with canonical source and stale-source rules.

Prompt/model/config registry

Current score: 1 / documented tier 1

Conceptual

1/5

Evidence we have

Registry need is identified in the calibration backlog.

Missing for upgrade

Complete prompt, model, and config registry.

Required to upgrade

Create PROMPT_MODEL_CONFIG_REGISTRY.md with versioning and owner rules.

LLM security controls

Current score: 1 / documented tier 1

Conceptual

1/5

Evidence we have

Security-control need is identified, but no LLM-specific control map is claimed.

Missing for upgrade

LLM security control map and test set.

Required to upgrade

Create LLM_SECURITY_CONTROL_MAP.md and a security validation test set.

Monitoring loop

Current score: 1 / documented tier 1

Conceptual

1/5

Evidence we have

Monitoring-loop need is identified in the readiness backlog.

Missing for upgrade

Operational LLMOps monitoring loop and feedback cadence.

Required to upgrade

Create LLMOPS_MONITORING_SPEC.md with telemetry source, review cadence, and feedback receipt.

RCA open visual

Rows 1-3 are capped, not closed.

These controls are already part of how AIOS thinks, but they are not yet packaged as reusable LLMOps proof. To raise the public score, each one needs a named schema, checklist, receipt, or validator that can be used again on future LLMOps reviews.

Row 1: Claim boundary control

RCA open

A reusable claim-boundary schema and scan.

Row 2: Gate and authority model

RCA open

An LLMOps role authority map and gate receipt.

Row 3: Evidence receipts

RCA open

A score-to-evidence receipt schema.

Telemetry coverage matrix

Process transparency exists; provider-backed telemetry does not.

Signal	Status	Evidence	Public meaning
Route ledger	Present	Route and deploy receipts exist.	Process route can be inspected.
Role receipts	Present / partial	Audience, Surface Guild, QA, and Surface Runner receipts are required.	Review process is visible, but future gates still need receipts.
Surface Guild review	Present	Public-surface review receipt.	Reader story and claim boundary are reviewed.
QA validation	Present	Lint, build, DoD, and forbidden-claim checks after implementation.	Local quality gate exists before deploy.
Surface Runner live verification	Present after deploy	Live route and visible-surface verification receipt.	Live page can be checked after deploy.
Provider name returned	Missing / not exposed	Tool interface does not expose authoritative provider telemetry.	No provider-backed telemetry claim.
Model returned	Missing / not exposed	Tool interface does not expose returned model telemetry.	No returned-model usage proof.
Token input/output	Missing / not exposed	Token counts are unavailable.	No usage-cost proof.
Cost	Missing / not exposed	Cost telemetry is unavailable.	No cost monitoring claim.
Elapsed time	Missing / manual only	No authoritative runtime timing source.	No benchmark-valid latency claim.
Live model-spend graph	Target only	Target telemetry pattern, not live provider telemetry.	Future observability target.
Operational monitoring loop	Not present	No runtime feedback loop is claimed.	No operational monitoring claim.

Model / role execution flow

Role execution is visible; model usage is still a telemetry gap.

Lyn / Owner

Authorized direction and scoped deploy decisions

Owner gate receipt

Robert

Planning, claim boundary, and synthesis

Conceptual planning artifacts

Codex

Local implementation and validation

Provider/model/token/cost not exposed

Surface Guild

Public story and navigation boundary review

Surface review receipt

QA Sentinel

Lint, build, DoD, and claim-boundary validation

QA acceptance report

Surface Runner

Live route and visible-surface verification

Live verification receipt

Target spend-by-model telemetry pattern

This is a target telemetry pattern, not live provider-backed telemetry.

spend by model

target

model by role

target

task by model

target

provider by model

target

cost over time

target

spike detection

target

missing telemetry warning

target

Current AIOS does not yet ingest provider-backed spend telemetry into this page. This target view shows what future model-cost observability should include.

Gap-to-backlog runway

What would move the score above 2?

CLAIM_BOUNDARY_SCHEMA.md

LLMOPS_ROLE_AUTHORITY_MAP.md

EVIDENCE_RECEIPT_SCHEMA.md

ARTIFACT_TRACEABILITY_SCHEMA.md

LLMOPS_RELEASE_READINESS_GATE.md

RUNTIME_TELEMETRY_SCHEMA.md

AI_DEFECT_TAXONOMY.md

LLM_EVAL_GOLDEN_SET.md

RAG_SOURCE_REGISTRY.md

PROMPT_MODEL_CONFIG_REGISTRY.md

LLM_SECURITY_CONTROL_MAP.md

LLMOPS_MONITORING_SPEC.md

Interview takeaway

LLMOps is governance, evaluation, telemetry, release readiness, and monitoring - not just prompts.

Conceptual maturity is separated from reproducible evidence.

Public claims are capped until telemetry, evals, and monitoring loops exist.

AI governance can be translated into delivery controls and portfolio artifacts.

Technical calibration note

Robert conceptual maturity may be useful internally, but public scoring uses the calibrated evidence-backed score and claim boundary cap.

The current visual cockpit is public-safe, evidence-capped, and intentionally shows missing provider telemetry instead of hiding it.