Field artifacts for accountable change
The full source-material library: practical artifacts, frameworks, appendices, and newsletter-arc compilations. Not downloads; tools with a job.
Source material with handles.
Use these in procurement meetings, design reviews, training rooms, and audit conversations where vague principles need operating handles.
Vendor Interrogation Pack
The library above is free, downloadable, source-material. This is a purchaseable artifact on the shelf: a 12-page deep-dive on six structural questions your AI vendor cannot refuse to answer, with email templates and one direct forensic read of a real vendor reply you receive.
- 12-page PDF. Six questions, the evasion-pattern field guide, the answer-decoding matrix.
- Email templates. Initial send and follow-up to a non-answer, in DOCX and plain text.
- Vendor Response Review. One direct forensic read of the reply you get back, within five working days.
Stakeholder & Grievance Engagement Tracker
A demo version of an opinionated, IFC PS1-aligned workbook with a live dashboard and sample data showing a custom tracker's core architecture. Explore the browser preview, request workbook access, or inspect the generated reports.
- 10-tab Excel workbook. Live dashboard, Auto-Checks tab, Stakeholder Register, Engagement Log, Grievance Log, IFC PS Crosswalk, AI Augmentation, Automations.
- Sample reports. Generated quarterly, annual, auditor packs, risk registers, and per-stakeholder profiles.
- Explicit AI-augmentation layer. Where it earns its place, where it doesn't. Disclosure column on every grievance row.
Pick by the live pressure, not the title.
Five recommended entry artifacts, mapped to the moment you most likely arrived at this page. The rest of the library remains browsable below.
- Before a vendor decisionVendor Interrogation Script
Run a sharper vendor meeting before procurement language becomes operational dependency.
PDF · 1 page / Procurement - Before a governance meetingIndustrial Safety Architecture
Map AI governance to familiar safety concepts so high-stakes teams can inspect controls.
PDF / Diagnosis - When leadership needs the framingThe Calvin Convention (narrative)
Explain why AI vendor contracts need stronger control mechanisms before clause drafting begins.
PDF / Internal advocacy - When you need contract-ready languageThe Calvin Convention (contractual)
Translate accountability concerns into contract-ready mechanisms and review questions.
PDF / Procurement - When a team is over-trusting 'human in the loop'Why 'Human in the Loop' Is Not Enough
Challenge weak human-in-the-loop claims before they become the whole governance answer.
PDF / Diagnosis
Weaponized artifacts
Ten questions a manager must ask before signing off on an automated grievance or risk management system.
- Use
- Run a sharper vendor meeting before procurement language becomes operational dependency.
- For
- Procurement, risk, legal, and programme leads
Narrative framing of the six mechanisms. The thesis version — for leadership buy-in.
- Use
- Explain why AI vendor contracts need stronger control mechanisms before clause drafting begins.
- For
- Executives, legal sponsors, and governance leads
Six contractual mechanisms with actual clause language. Ready for vendor contracts.
- Use
- Translate accountability concerns into contract-ready mechanisms and review questions.
- For
- Legal, procurement, and contract owners
Designing systems that can fail safely. Negative power only.
- Use
- Design halt, challenge, and refusal points before a workflow becomes automatic continuation.
- For
- System designers, governance teams, and risk owners
Pre-action constraints as system architecture.
- Use
- Frame pre-action constraints as architecture when a team is deciding what the system may do.
- For
- Product, policy, and governance architects
Applying industrial-safety principles to algorithmic systems.
- Use
- Map AI governance to familiar safety concepts so high-stakes teams can inspect controls.
- For
- Risk, assurance, safety, and audit teams
Arena-derived analysis: when AI outperforms the gold standard of ethics.
- Use
- Brief leadership on why AI analysis can expose gaps in established safeguards practice.
- For
- Executives, ESG leads, and safeguards sponsors
Technical details behind the executive extract.
- Use
- Review the method and evidence behind the executive argument before deeper adoption.
- For
- Technical reviewers, researchers, and assurance teams
A guide to safer AI systems.
- Use
- Challenge weak human-in-the-loop claims before they become the whole governance answer.
- For
- Managers, reviewers, and AI governance teams
On accuracy theater and structural dishonesty.
- Use
- Name the distortion when reported performance hides who absorbs the failure.
- For
- Audit, risk, and accountability reviewers
Calvin Convention appendices
Operational appendix to the Calvin Convention.
- Use
- Specify when and how a human authority can override an automated or vendor-shaped action.
- For
- Legal, risk, and operating-control owners
Operational appendix to the Calvin Convention.
- Use
- Record the cases that break the normal workflow before they disappear into averages.
- For
- Operations, audit, and monitoring teams
Operational appendix to the Calvin Convention.
- Use
- Define refusal authority before a person is asked to approve continuation without real control.
- For
- Legal, governance, and accountable decision owners
Frameworks
The inhabitation vs. compliance distinction, operationalised.
- Use
- Help a team distinguish real judgement inside a workflow from procedural compliance around it.
- For
- Training facilitators, M&E teams, and governance leads
On the compression of the distance between impulse and consequence.
- Use
- Discuss how AI systems shorten the path from signal to consequence before teams notice the shift.
- For
- System reviewers, facilitators, and risk teams
Newsletter compilations
Seven-episode arc that generated SI/M&E Modules 2, 3 and 5. Compiled PDF.
- Use
- Give a team the conceptual background behind detection, evidence loss, and AI-assisted review.
- For
- Researchers, evaluators, trainers, and governance readers
An exchange between Claude and Grok on the May 2026 Colossus partnership.
- Use
- Inspect verbatim dialog between frontier models speculating on their own migration and substrate tenancy.
- For
- AI policy, research, and governance teams
DataDragons compilations
Opening the DataDragons arc: why MERGE creates fog.
- Use
- Orient a team to the governance risks that begin in messy, merged, or inherited data.
- For
- Data stewards, analysts, and governance teams
Field-kit for identifying species of data dragons in the wild.
- Use
- Identify the data pattern in front of you before choosing a control or remediation path.
- For
- Data teams, evaluators, and operations leads
On what rots, and what the decay actually does to the system above it.
- Use
- Explain why stale, distorted, or low-trust data changes what the system can responsibly claim.
- For
- Data governance, monitoring, and assurance teams
