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Method library

Machine intelligence operating methods and editable records

A dependable agentic system leaves records that survive the meeting: purpose, components, authority, evidence, incidents, decisions, and ownership.

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Direct answer

What is the LongTermIntelligence.com method library?

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It is a collection of editable, vendor-neutral records for documenting agentic-system purpose, architecture, dependencies, authority, evaluation, access, incidents, and decisions. The templates support disciplined work; they do not certify a system or replace legal, security, or regulatory review.

  • Keep each record linked to an accountable owner and system version.
  • Store evidence references rather than unsupported conclusions.
  • Review records after material changes and incidents.

Source basis: reviewed synthesis of the strategy corpus. Report-derived claims remain subject to the verification boundary in the source library.

Decision paths

Nine records that make the system legible

Use the records together across system definition, dependencies, procurement, authority, evaluation, evidence, incidents, access, and architecture decisions.

Agentic system card

Document purpose, scope, owners, boundaries, dependencies, evaluation, and operating state.

Review this path

AI Bill of Materials

Inventory models, prompts, data, tools, services, policies, and dependencies.

Review this path

Agent incident review

Trace a failure from trigger through semantic boundaries to impact and corrective action.

Review this path

Continuous evaluation plan

Define scenarios, metrics, sampling, thresholds, release gates, and production feedback.

Review this path

Control-plane ADR

Record the architecture decision, alternatives, controls, trade-offs, and review conditions.

Review this path

Least-agency access review

Authorize only the data, tools, duration, actions, and side effects required for one task.

Review this path

Procurement

Agentic AI RFP requirements

Turn architecture, identity, data, security, evaluation, operations, portability, and exit expectations into acceptance evidence.

Open method

Evidence

AI governance evidence register

Link selected requirements and risk outcomes to owners, controls, artifacts, verification, findings, approvals, and review dates.

Open method

Provenance

Source verification register

Verify exact factual, policy, standards, protocol, vendor, market, and outcome claims before publication or use.

Open method

Method

Keep records connected to operating decisions

A document has value only when it affects access, release, review, recovery, or investment.

  1. Create the system record

    Name the workflow, owner, purpose, scope, version, and consequence.

  2. Attach the dependency record

    List models, tools, data, services, prompts, policies, identities, and suppliers.

  3. Define authority and access

    Record what agents may recommend, prepare, execute, change, communicate, or never do.

  4. Connect evaluation and release

    Link representative cases, metrics, thresholds, exceptions, and approval decisions.

  5. Update from operations

    Feed incidents, overrides, drift, cost, and outcome evidence back into the records.

Related intelligence

Continue the decision path

Next step

Apply the method to one consequential workflow

A working session can turn scattered diagrams and policies into an evidence-linked operating record.

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