DOC CRR-2026-041 SERIES CONTEXT READINESS REPORT SPECIMEN COPY

This page is the deliverable, read before you buy it.

AnswerEcon is a fixed-scope audit of your knowledge corpus. Below is a working specimen of what you receive: your maturity placement, your coverage against real ticket themes, your machine-ready percentage, and the roadmap — as a Context Readiness Report and an executive readout. The toggle above shows you the same report as your copilot would read it.

Run this on my corpus Read the specimen

This page is the deliverable.

# the report's front matter — every CRR ships with one

---
report: crr-2026-041
series: context-readiness-report
status: specimen          # figures illustrative, structure real
issued: 2026-08-11
inputs: [corpus, ticket-themes]
findings: 3
deliverables: [context-readiness-report, executive-readout]
standard: https://machinereadyknowledge.com/mrk-1.0.schema.json

Book AnswerEcon

FINDING 01

Machine-readiness

STATUS · PARTIAL

The reader of your knowledge is increasingly a machine assembling an answer for a human who never sees the article page. Measured against the four clauses of Machine-Ready Knowledge:

# scored against mrk-1.0 · machinereadyknowledge.com

Share of corpus safely machine-consumable 0%

READY 31% PARTIAL 31% GAP 38%

Analyst's note — 31% is a typical first-audit figure, not a failing grade. It is, however, the honest denominator your AI answers draw from today.

clause_scores:   # percent of articles passing each MRK-1.0 clause
  self_contained: 44
  applicability: 31
  stable_ids: 62
  freshness: 27
# weakest clause first — that's phase 1 of the roadmap

FINDING 02

Coverage vs. actual ticket themes

3 GAPS FOUND

A corpus audit means nothing against an imaginary workload. We cluster your actual ticket themes and score coverage against each:

# themes clustered from 1,172 tickets/mo · coverage per cluster

Ticket theme	Vol/mo	Coverage	Observation
Auth & API keys	412	READY	strongest cluster; citations resolve
Billing & proration	287	PARTIAL	plan tiers unstated
Data export	198	GAP	top unanswered cluster, 17 questions/wk
SSO & provisioning	154	PARTIAL	last verified 14 months ago
Rate limits	121	GAP	lives in one engineer's head

SPECIMEN — figures illustrative. Your report is built from your ticket data.

FINDING 03

Maturity placement

SELF-ASSESS

Six levels, from institutional knowledge to agentic loops. You cannot skip levels. Place yourself:

# interactive placement — selection updates the record below

L00Institutional"Check with Dana" is a documented process L01DocumentedThe KB exists; nobody trusts it first L02Process-drivenClassical KCS — scaling linearly with human effort L03AI-assistedAI drafts, humans curate; capture under a minute L04GovernedCited answers, honest refusals, self-closing gaps L05AgenticHonestly, almost nobody — yet

L02 → next ring is L03. Your capture loop is the bottleneck: AI drafting with a human gate takes capture from 20 minutes to under one. That's the move — not a chatbot.

THE ENGAGEMENT

Fixed scope. Fixed price. 2–3 weeks.

SAMPLE: FREE — THIS PAGE

Context Readiness Report — the full written findings, yours to keep
Maturity placement — across six dimensions, evidence attached
Coverage audit — against your actual ticket themes
Machine-ready % — measured against the open standard, not estimated
Executive readout — the roadmap, prioritised and sequenced

"The specimen above is the real instrument — twenty-plus years in the knowledge industry, applied to your corpus."

Jason O'Donnell · founder & practitioner

# the engagement, as data

engagement:
  name: answerecon
  scope: fixed
  price: fixed
  duration_weeks: [2, 3]
  deliverables:
    - context-readiness-report       # the full written findings
    - maturity-placement             # six dimensions, evidence attached
    - coverage-audit                 # vs. your actual ticket themes
    - machine-ready-percent          # measured against the open standard
    - executive-readout              # the roadmap, prioritised
  operator:
    name: Jason O'Donnell
    role: founder & practitioner
    years_in_industry: 20+
  book: mailto:hello@contextkeeping.com
  discipline: https://contextkeeping.com
  standard: https://machinereadyknowledge.com

Book AnswerEcon

THE SMALLER FIRST STEP

The Terminology Audit — $2,400, findings in 30 days

FIXED SCOPE

Not ready for the full readiness report? The Terminology Audit measures one property — your vocabulary — on the twenty client-facing assets you choose. Terms are retrieval keys; the audit finds where yours split, drift, or carry freight, and hands back a severity-rated findings report, a prioritized swap list, a terminology standard seeded from your own corpus, and a 60-minute readout. Includes the full Terminology Governance Pack; the whole $2,400 is credited toward AnswerEcon within 6 months. The refund window closes at asset intake. The essay makes the argument; the audit makes it about your content.

Buy the audit Or start with the $59 pack

# the smaller engagement, as data

engagement:
  name: terminology-audit
  price_usd: 2400 (fixed)
  scope: 20-client-facing-assets  # you choose; rubric provided
  delivery_days: 30  # clock starts at asset intake
  deliverables:
    - findings-report            # S1-S3 severity, three headline rates
    - prioritized-swap-list      # a one-line fix per finding
    - seeded-terminology-standard # from your corpus, ready to ratify
    - 60-minute-readout
  includes: terminology-governance-pack
  refund: 14d, closes at asset intake
  credit: full price toward answerecon, 6 months
  data_handling: deleted 7 days post-readout