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20 methods / Practical ways to work

Methods & Labs

20 published methods for bounded, reviewable AI work. Start from your problem, browse them by name or try one in a lab.

How to use this library

Composition, not method decoration

These methods are not trophies in a library. They are interoperable problem-solving components with separate responsibilities. A method earns its place by doing a bounded job: orienting a knowledge space, resolving identity or relationships, separating and grading claims, discovering existing capability, controlling execution, or verifying an outcome.

When a problem crosses several of those boundaries, the useful move is to compose the smallest compatible method stack and keep the hand-offs explicit. ORBIT can orient; SORR can resolve semantic identity and relationships; CARD & POINTER can represent and route; Dialogue Lifecycle can control when work advances; 5PP can discipline how bounded work is executed and audited. The value comes from those distinct responsibilities working together - not from naming more frameworks.

Relevance does not require ceremony. A task may need one method, several complementary methods, or none. If adding a method does not materially improve what is understood, decided, executed or verified, it is decoration rather than composition.

Find by problem

What is getting in your way?

Browse

All 20 methods

Plain names first, published method names underneath.

Control and execution

How work is bounded, staged and governed

Systems that control execution phases, dialogue transitions and instruction contracts.

Work protocol

5 Point Protocol

5PP

5 Point Protocol with deterministic gates, compliance evidence and bounded execution discipline.

Lifecycle

Conversation phases

Dialogue lifecycle

EXPLORE, CLARIFY, DECIDE, EXECUTE, VERIFY and CLOSE as a separate when-control system.

Instruction contracts

Instruction contracts

AICS

Versioned instruction-contract specification with semantic atoms, execution gates, projections and conformance mechanisms.

Reasoning and interpretation

How claims, discourse and alternatives are worked

Methods and representations for interpretation, inference, claim-strength control, possibility preservation and independent comparison.

Reasoning loop

Iterative reasoning loop

DIALECTIC

Iterative heuristic-hermeneutic reasoning with bounded convergence and persistent knowledge units.

Semantic grammar

Semantic grammar

RigVedan

EBNF-RV grammar, temporal markers, semantic axes and typed knowledge units.

Interpretation method

Interpretation and teaching runs

Hermeneutic-didactic

Comparative profile of iterative interpretation and deterministic run pedagogy.

Claim reasoning

Claim modes

DIAL-4

Deduction, Inference, Abatement and Legitimation as separate claim modes.

Claim grading

Claim-strength grading

DIAL-4+

Claim-strength grading across confidence, evidence quality and scope.

Possibility preservation

Keeping options open

DIAL-4P Possibility

Possibility preservation and implementation governance without collapsing options too early.

Discourse decomposition

Discourse before intent

PISD

Pre-Intent Semantic Decomposition preserves discourse structure before reliable intent or task commitment exists.

Independent baseline

Independent first-pass baseline

IPB

Independent Predefinition Baseline preserves first-pass evidence before a developing definition can shape the comparison.

Orientation, semantics and context

How subjects are identified, related and made understandable

Systems for provenance-aware orientation, semantic resolution, bounded representation, routing and context acquisition.

Orientation framework

Orientation framework

ORBIT

Typed provenance-aware orientation nodes, routing planes, source-truth barriers and consumer projections.

Semantic resolution

Semantic resolution

SORR

Semantic resolution for identity, representation, relationships, evidence, scope, time and authority while preserving uncertainty.

Orientation and routing

Orientation cards and typed links

CARD & POINTER

Bounded semantic orientation plus typed reference and relationship routing with claim-scoped authority.

Context method

Context bootstrap

SRCB

Subject Reconnaissance and Context Bootstrap builds bounded, source-aware context from distributed evidence.

Capability discovery, design and activation

How capability is found, reconciled, developed and used

Methods for avoiding false novelty, reconciling distributed capability representations, closing internal responsibility gaps and moving durable subjects into bounded use.

Discovery gate

Reuse before building

Capability-Gap Reconnaissance

Reuse-before-create discovery across distributed capability surfaces before new work is justified.

Capability reconciliation

Capability reconciliation

CSR

Capability Surface Reconciliation maps realization states, representation relationships, coverage and the smallest sufficient intervention.

Capability design

Responsibility boundary design

CBE

Capability Boundary Expander closes internal responsibility gaps with KEEP, SPLIT, DELEGATE and REJECT while preserving peer boundaries.

Iterative capability design

Iterative boundary design

CBE-IX

Iterative Exhaustion follows a bounded expansion frontier to a semantic fixed point or an explicit stopping condition.

Discoverability and activation

Discoverability and activation

GDSA

Governed Discoverability, Surfacing and Activation separates durable existence, relevance, authorization, use and verification.

For a deeper view of how these capabilities translate into working software and operational evidence, continue to the proof packages, the source repositories or Adaptivearts.ai.
Practice

Six labs to start with

Interactive experiments using synthetic data. No account needed.

How the methods fit together: problems, roles and combinations
What this capability estate enables

From methods to practical system capability

The value is not in isolated terminology. These systems combine into repeatable ways of designing, evaluating and operating AI-assisted work where context, uncertainty, authority and execution need to remain understandable.

Reliable delivery

Bound AI-assisted work

Stage work explicitly, preserve decision gates, constrain risky actions and verify outcomes instead of treating model output as completed execution.

Context integrity

Know what the system is reasoning about

Resolve identity, provenance, relationships and source authority across distributed repositories, documents, memory and runtime evidence.

Capability reuse

Find and reuse what already exists

Discover, reconcile and activate existing capabilities before duplicating work or creating parallel implementations.

Decision quality

Keep uncertainty visible

Separate claim modes, preserve alternative interpretations and independent baselines, and resist premature intent or solution collapse.

Problem-space map

Different problem shapes call for different capability combinations

The same methods can be combined differently depending on the problem, where it appears in the work lifecycle and the scale of the system. The inventory therefore doubles as a problem-solving map rather than only a list of named methods.

X - problem shape

What is going wrong?

Ambiguity, weak evidence, context loss, semantic conflict, uncontrolled execution, duplicated capability or poor discoverability.

Y - lifecycle position

Where does it happen?

Observation, exploration, orientation, clarification, decision, execution, verification, learning or re-entry.

Z - operating scale

How large is the system?

A claim or conversation, a task or workflow, a project or repository, multi-agent work, or an ecosystem/portfolio surface.

Problem framing

The apparent task is not yet the real problem

Preserve discourse, tensions and alternatives before forcing a single intent, requirement or solution.

PISD + DIALECTIC + IPB + DIAL-4P

Context fragmentation

The system cannot tell what it is reasoning about

Reconcile identity, representation, relationships, provenance and source authority across distributed context.

ORBIT + SORR + CARD & POINTER + SRCB

Evidence quality

Claims look stronger than the evidence warrants

Separate reasoning modes, grade claim strength and preserve independent evidence before definitions harden.

DIAL-4 + DIAL-4+ + IPB + SORR

Agent execution

AI output is being confused with authorized action

Stage work, preserve human and system gates, define instruction contracts and keep execution distinct from verified outcome.

Dialogue Lifecycle + 5PP + AICS + GDSA

Capability duplication

A new build is proposed before existing capability is understood

Discover what already exists, resolve representations and select the smallest sufficient intervention.

Capability-Gap + CSR + SORR + CARD & POINTER

Responsibility boundaries

A capability grows by absorbing its neighbors

Identify genuine internal gaps, split mixed responsibilities, define handoffs and distinguish bounded exhaustion from a blocked or interrupted analysis.

CSR + CBE / CBE-IX + SORR + Dialogue Lifecycle + 5PP

Discoverability

Useful capability exists but stays operationally invisible

Move durable knowledge or capability through discovery, routing and relevance without confusing visibility with authorization.

GDSA + ORBIT + CARD & POINTER + SRCB

Research synthesis

Many sources must become one bounded, defensible understanding

Acquire subject context, resolve conflicts, iterate interpretations and keep claim support visible.

SRCB + SORR + DIALECTIC + DIAL-4 + IPB

Portfolio sprawl

Projects, repositories and representations stop being navigable

Separate identities, orient across surfaces, find reusable capability and reconcile what exists where.

ORBIT + SORR + Capability-Gap + CSR + GDSA

Decision under uncertainty

Several plausible interpretations or paths remain open

Preserve possibilities, distinguish types of reasoning and make uncertainty part of the decision surface instead of hiding it.

DIAL-4P + DIAL-4 + DIAL-4+ + DIALECTIC + IPB

The catalog is organized by function rather than development stage. Problem classes above are solution patterns: they show how capabilities compose without implying that every problem always requires the full combination.
The problem-space map is the entry layer. Continue to the solution-space map to see how the current capabilities assemble into reusable solution patterns across lifecycle position and operating scale.