Machine-intelligence working framework

Machine-intelligence frameworks for governed agentic systems

Use the working models to turn broad AI ambition into inspectable decisions, boundaries, tests, and operating evidence.

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Published August 1, 2026Updated August 1, 2026Reviewed August 1, 2026By LongTermIntelligence.com

Direct answer

What are the LongTermIntelligence.com machine-intelligence frameworks?

They are public working models for structuring agentic architecture and operations. Each framework converts an ambiguous concern—readiness, authority, evaluation, risk, failure, or control-plane design—into explicit questions, artifacts, decision gates, and evidence.

They are vendor-neutral planning aids.
They preserve human accountability.
They do not claim certification or guaranteed outcomes.

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

Framework library

Six working frameworks

Start with the decision that is hardest to make, then connect it to the adjacent frameworks.

Maturity

Agent Swarm Control Maturity Model

Assess whether multi-agent work is ad hoc, defined, managed, or adaptive across architecture, authority, evaluation, operations, and evidence.

Open framework

Authority

Human Authority Boundary Framework

Separate recommendation, preparation, approval, execution, override, and prohibition for consequential actions.

Open framework

Evaluation

Agent Evaluation Scorecard

Make release decisions using task quality, tool correctness, coordination, policy, recovery, cost, and human calibration.

Open framework

Risk

Production Agent Risk Register

Translate agentic failure modes into owned scenarios, controls, signals, responses, and evidence.

Open framework

Failure

Multi-Agent Cascading Failure Taxonomy

Classify how boundary errors, stale state, authority bypass, and context contamination propagate across a system.

Open framework

Architecture

Agentic Control Plane Reference Architecture

Map policy, identity, context, orchestration, execution, evaluation, telemetry, and recovery as explicit responsibilities.

Open framework

How to use them

Move from vocabulary to an evidence-backed decision

The frameworks are designed to be used together rather than treated as isolated checklists.

Bound the workflow
Name the outcome, systems, data, side effects, owners, and prohibited actions.
Score the current state
Use explicit evidence rather than confidence or maturity labels alone.
Design the boundary
Assign identity, policy, authority, evaluation, and recovery responsibilities.
Test representative work
Replay normal, edge, adversarial, and degraded scenarios before release.
Record the decision
Document proceed, narrow, remediate, replace, or stop with the supporting evidence.

Downloadable working files

Start with editable templates

Files are local, transparent CSVs that can be adapted without submitting data to the site.

CSV template

Agent Swarm Control Maturity Model

Four maturity levels across six operational domains.

Download CSV

CSV template

Human Authority Boundary Worksheet

Map action consequence, reversibility, authority, evidence, and emergency stops.

Download CSV

CSV template

Agent Evaluation Scorecard

A transparent weighted release-decision worksheet.

Download CSV

CSV template

Production Agent Risk Register

An owned risk, control, signal, and response register.

Download CSV

Templates are planning aids. They are not certifications, legal advice, security guarantees, or substitutes for client-specific validation.

Decision resources

Turn a framework into an operating record

The method library provides editable artifacts for applying framework decisions to a specific system.

Agentic system card

Keep purpose, architecture, authority, evidence, limitations, and operating state current.

Open method

Continuous evaluation plan

Connect representative cases, thresholds, sampling, production evidence, and release action.

Open method

Agent incident review

Trace semantic and operational failures through boundaries and corrective actions.

Open method

Next decision

Apply a framework to one consequential workflow

Bring a public-safe workflow and the blocked decision. The next step is to narrow the system, not expand the pitch.

Discuss the decision Evaluate readiness

Machine-intelligence frameworks for governed agentic systems

What are the LongTermIntelligence.com machine-intelligence frameworks?

Agent Swarm Control Maturity Model

Human Authority Boundary Framework

Agent Evaluation Scorecard

Production Agent Risk Register

Multi-Agent Cascading Failure Taxonomy

Agentic Control Plane Reference Architecture

Move from vocabulary to an evidence-backed decision

Bound the workflow

Score the current state

Design the boundary

Test representative work

Record the decision

Agent Swarm Control Maturity Model

Human Authority Boundary Worksheet

Agent Evaluation Scorecard

Production Agent Risk Register

Continue through the knowledge system

Assessments

Claims and evidence

Strategy source library

Agentic system card

Continuous evaluation plan

Agent incident review

Apply a framework to one consequential workflow