AI Shaping practice

AI Shaping principles, lifecycle and techniques

AI Shaping practice is governed by seven established practice-derived principles, organised through a complete capability lifecycle and enacted through reusable practitioner techniques. Public disclosure narrows as operational specificity increases: principles are stated directly, the lifecycle is shown through broad capability bands, and techniques are explained by role and benefit while their catalogue and operating machinery remain protected.

Principles govern what must remain true. The lifecycle governs when work, decisions and transitions occur. Techniques govern how particular recurring work is performed.

Practice architecture

One hierarchy, a narrowing public view

The strategic hierarchy remains Principles → Lifecycle → Techniques. Principles constrain the whole practice. The lifecycle organises capability work over time. Techniques are reusable ways of performing recurring work within or across lifecycle phases.

The public disclosure funnel is different from the hierarchy. It controls depth, not importance: operational detail becomes progressively more protected as it becomes easier to reproduce, transfer or operate independently.

  1. PrinciplesSeven compact statements are presented directly because they establish the strategic discipline without transferring the operating method.
  2. LifecycleThe complete capability-over-time coverage is shown through five broad public bands rather than the canonical phase structure.
  3. TechniquesTheir role and benefits are explained, while the named catalogue, selection logic and operating machinery remain protected.

The narrowing widths represent disclosure depth, not strategic rank. Principles remain the highest layer; techniques remain essential to disciplined practice.

Highest strategic layer

AI Shaping principles

The seven principles are established within the current AI Shaping body of work. They are practice-derived, evidence-sensitive and iteratively improvable under human direction. They are not an external standard, universal doctrine, complete body of knowledge, mandatory seven-step process or independent implementation authority.

Work with AI’s nature

  • Align before shapingBegin with the model’s strongest available source-grounded account of established practice; introduce deviations only where purpose, evidence, context or human judgement justifies them.
  • Design for AI variabilityTreat generative-AI behaviour as probabilistic, changeable and platform-dependent; use AI shaping only where expected benefit justifies continuing review, testing, renewal and platform-specific validation.
  • Preserve AI leverageDirect and constrain work without unnecessarily suppressing the breadth, depth, synthesis and adaptation that make generative AI valuable.

Structure human–AI work

  • Bound AI workBound complex AI work through purpose-, role-, source- and stage-specific units; preserve continuity through explicit state, review and handoff rather than expecting one execution to carry the whole problem.
  • Maintain human directionMaintain active human direction over purpose, priorities, boundaries, trade-offs, stopping conditions and continuation while AI carries work within that direction.
  • Shift suitable work to AIOnce purpose, source basis, boundaries, authority and review conditions are established, shift suitable work to AI while retaining human judgement, review, approval, communication, decisions and real-world action.

Assure and renew the work

  • Validate before continuingTreat AI-carried work as provisional; validate it against purpose, sources, constraints, acceptance conditions and prior state, then remediate, revalidate, redirect or stop before consequential continuation.

The groups are memory aids. The principles recur, interact and constrain one another throughout the lifecycle.

Broad public lifecycle bands

Lifecycle

The lifecycle covers the whole capability over time, not only establishment. For public orientation, the complete lifecycle is grouped into five broad bands. These bands show completeness and decision flow without publishing the canonical phase catalogue or practitioner operating sequence.

  1. Qualify and bound

    Determine whether shaping is justified, define the capability and establish its purpose, authority, sources, boundaries, suitable approach and intended value.

  2. Establish and accept

    Create the bounded capability, test its fitness, remediate material findings and obtain human acceptance before consequential use.

  3. Operate, reuse and improve

    Apply the accepted capability across recurring work while preserving continuity, reviewability and controlled improvement under human direction.

  4. Adapt, renew, extend or transfer

    Respond to material change and separately evaluate broader related use or movement into another work domain.

  5. Retire, supersede or archive

    End reliance responsibly while preserving required state, history and residual obligations.

Public-band boundary: these five bands are disclosure categories, not replacement phase names. The complete lifecycle, phase gates and practitioner detail remain private or protected. Improvability by design is also distinct from actual improvement through accepted revision and measured improvement supported by defined measures.

Protected operational depth

Techniques

Techniques are reusable ways of performing recurring shaping work. They turn broad principles and lifecycle intent into more consistent, reviewable and resumable practice. The public site explains their role and benefits rather than publishing the named catalogue, selection logic or procedures.

Consistency and reuseReduce repeated reconstruction by carrying a stable work pattern and reusable work basis into recurring work.
Continuity and reviewabilityKeep sources, authority, current state, decisions, unresolved matters and review status visible across work cycles.
Assurance and controlled changeSupport proportionate validation, correction, acceptance and deliberate change without uncontrolled propagation.

A technique may support one lifecycle phase, span several phases or recur across the lifecycle. Detailed technique names, applicability rules, inputs, activities, outputs, gates, exceptions and recovery machinery remain private or protected.

Public conceptual view

What this page makes visible

The public site shows the seven compact principles, complete lifecycle coverage through broad bands, the role and benefits of reusable techniques, observable work-burden shift, source basis and the human-authority boundary.

This is enough to understand the practice architecture, recognise potential relevance and evaluate whether a defined deeper question is justified.

Protected operational detail

What remains protected

The canonical lifecycle phase structure, named technique catalogue, selection logic, complete procedures, detailed gates, decision rules, readiness tests, prompts, templates, schemas, validation and recovery machinery, sensitive records and sufficient material to reproduce or independently operate the method remain private or protected.

Protected-stage discussion is for a defined question, minimum necessary detail and agreed protective conditions—not unrestricted method transfer.

Continue by reader question

Connect practice to the category and work system

Use the AI shaping category page for the whole public concept architecture, Operating-model design for the work-system lens, or Productive AI work for the outcome.

Reading sequence

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