Framework

Prompt Anatomy Foundations

2 min read · Framework · Jan 2024

Prompt Anatomy Foundations
Implementation stack — outcome, workflow, context, model step, evaluation, governance.

Implementation stack index—six layers from outcome to governance, with role-based paths into diagnostics, agents, eval, and procurement playbooks.

Prompt Anatomy is a methodology for predictable AI operations, not a collection of clever prompts. This page routes you into the blog by job-to-be-done. If you need to know which property to use first—blog, training app, or marketing site—read the Ecosystem Map before picking a path below.

The stack

The stack is the reading order for implementation—not a shopping list of models and copilots. Outcome and workflow come first; the model step sits inside context, eval, and governance. Skipping layers produces demos that cannot survive audit or scale.

Business outcome
  → Workflow (steps, owners, handoffs)
    → Context architecture (what the model may see)
      → Model step (generation where it adds leverage)
        → Evaluation (pass/fail before scale)
          → Governance (who may change what)

Deep dive: The Model Is Not the System.

Where to go next

Use the table as a routing index by job-to-be-done. Pick one row, finish that playbook, then return here—foundations is a hub, not a reading assignment for every stakeholder on day one.

If you are… Start with
Diagnosing chaos 10 Signs Your Company Is Vibe Prompting
Designing agents Agent workflow guide — path visual: From Prompt to Agent
Designing context Context architecture
Setting ownership Governance roles
Planning a pilot AI Workflow Canvas
Freezing tool spend AI Procurement Freeze
Proving ROI Measuring AI Workflow ROI
Running eval gates Evaluation Hooks + Eval Checklist
Picking automation Workflow automation selection

First 30 days

Follow this sequence once—not every playbook on day one.

  1. Diagnose with 10 Signs and the stack scorecard.
  2. Design one workflow on the AI Workflow Canvas.
  3. Gate changes with Evaluation Hooks before pilot scale.
  4. Standardize on training at promptanatomy.app when the team repeats the same steps.

For outcome framing before you buy anything, read From Prompts to Business Outcomes.

By persona

Operations or enablement (diagnose first). You need a shared vocabulary for what is broken before anyone buys another copilot. Start with 10 Signs and the 15-minute stack scorecard; use Glossary terms in steering meetings so “eval” and “workflow ID” mean the same thing to IT and the business. When tool trials are the blocker, read AI Procurement Freeze before the next vendor demo.

Architecture or engineering (design the system). Map one workflow on the canvas, wire Evaluation Hooks before connectors, then read Grounding AI Outputs and RAG in Production. Agent paths: How to Design an AI Agent Workflow and MCP for enterprise. For maturity framing, see the AI Implementation Maturity Ladder.

Governance or risk (control change). Pair Governance roles with the Governance RACI Worksheet, Audit trails, and Risk review cadence. Prompt and context changes ship through the Prompt Registry Playbook—not shared docs.

Templates and proof

Templates and case studies turn methodology into artifacts auditors and sponsors can inspect. Copy them into your wiki with workflow IDs filled in—empty templates in a shared drive do not count as governance.

Training and hands-on drills: promptanatomy.app. Term definitions: Glossary.

Framework overview article retired—this page is the single framework index.

On this page

Move from pilot to program

Structured training for teams implementing AI under real operational and compliance constraints.

Explore training

Continue learning

Step 2 of 11 in Framework · Full reading order

Template

FAQ

Where should a team start in the Prompt Anatomy stack?

Start with one business outcome and workflow, then context architecture, then model steps—with evaluation and governance before scaling tools.

Is Prompt Anatomy only about writing prompts?

No. It is a methodology for predictable AI operations—workflow, context, evaluation, and governance around the model step.

What is the Prompt Anatomy implementation stack?

Six ordered layers—business outcome, workflow, context architecture, model step, evaluation, and governance—with the model as one step inside the system, not the whole product.

Which article should procurement or finance leads read first?

Start with 10 Signs and the stack scorecard, then AI Procurement Freeze before new tool trials; finance teams can follow the finance workflow case study after the canvas template.