Product, business and engineering leaders arranging requirements and architecture into a precise delivery plan
← All insights

Specification development with AI

The Specification Becomes the Control Plane

AI can accelerate delivery only when intent, boundaries, evidence and failure behavior are explicit enough to govern the work.Field note

Point of view

In AI-assisted delivery, a good specification becomes the shared operating contract for people, models and tools.

The goal is a clear, usable understanding of what must be true before work begins, while it is underway and when it is accepted.

Control-plane schematic

The specification connects intent to proof.

Use the model to connect the decisions, controls and evidence described below.
Executable understanding
  1. 01
    OutcomeDecision and value
  2. 02
    BoundariesRules, roles and failure
  3. 03
    ImplementationCode, configuration and interfaces
  4. 04
    EvidenceTests, signals and review
  5. 05
    AcceptanceA well-supported release decision

Define the decision

Start with the behavior that matters.

Describe the trigger, the people or systems involved, the decision being made and the outcome the business needs. That creates a stable center even when implementation choices change.

Make assumptions visible. A coding agent will confidently fill silence; an accountable team identifies silence as a decision still to be made.

Bound the work

Name the edges before the happy path.

Inputs, validation rules, permissions, failure states, idempotency, performance and recovery belong in the specification when they determine whether the system is safe to operate.

Use concrete examples and Given–When–Then scenarios where they make the intended behavior testable while leaving room for sound design choices.

Design the proof

Acceptance requires evidence.

Connect every important behavior to a way of proving it: an automated check, an observable signal, a human review or a controlled business acceptance step.

The specification should let a reviewer distinguish a complete feature from a plausible-looking implementation.

Design principles

Keep the operating logic visible.

  1. 01Specify outcomes before interfaces.
  2. 02Expose assumptions and irreversible decisions.
  3. 03Define failure and recovery behavior.
  4. 04Connect requirements to observable proof.

What changes Monday

Turn the perspective into a focused next move.

  1. 01

    Write the decision and outcome in one paragraph.

  2. 02

    Add the three failure modes most likely to matter in production.

  3. 03

    Convert critical behaviors into acceptance examples.

  4. 04

    Ask an independent reviewer—or agent—to identify ambiguity before coding starts.

When the specification is precise enough to guide implementation, testing, review and operations, AI speed becomes governable delivery speed.

Discuss this perspective