Build a Modular Context Library So Your AI Already Knows the Relevant Details
Create reusable context blocks for product, customers, market, strategy, and team constraints so AI outputs improve over time.
Outcome
A reusable context system that reduces repeated explanation and improves every prompt or workflow.
Workflow steps
Define the modules
Create separate context blocks for product, users, market, strategy, team, constraints, and writing style.
Keep context current
Update each module when a decision, metric, or positioning point changes.
Attach only what matters
For each workflow, include the smallest set of modules needed for good output.
Why this workflow matters
AI work gets worse when every prompt starts from zero. A modular context library lets you reuse the right background without dumping everything into every request.
How to run it
Create short, maintained context blocks for each part of your product reality. Reference the relevant blocks whenever you run a prompt, review a document, or build a workflow.
What good looks like
Outputs should become more specific, less generic, and faster to produce because the necessary context is ready.