Build a Knowledge Base with AI · Execution Map
Define & Scope
Clarify what you're building and for whom.
Design
Design the right solution before building.
Build & Refine
Build, test, secure, and make it production-ready.
Ship & Validate
Ship with confidence and validate results.
Step 1 of 6
Plan the knowledge taxonomy
A knowledge plan and taxonomy tied to real questions.
Phase
Define & Scope
Everything you need for this step
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Workflow
AI Content Strategy Workflow
Decide what to publish and why before you write a word — set the business goals and audience, map needs to topics, brief the priority pieces, then turn it into a content plan you publish against.
Resource
Content Strategy Prompt Workflow
A sequential prompt workflow for content strategy: audience first, then goals, competitor gaps, topic clusters, defensible angles, and a publishing plan with a review loop.
Tool
Multi-Step Prompt Builder
Break a big goal into a sequential prompt workflow — each step with an objective, prompt, and expected output.
Step 2 of 6
Structure it for search
An information architecture that makes knowledge findable.
Phase
Design
Everything you need for this step
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Workflow
AI Website Structure Workflow
Organize a site so people and crawlers find things — inventory the content, group it into a real hierarchy, design the sitemap and navigation, then document the information architecture for the build.
Resource
Sitemap & Site IA Spec Prompt — Pages, Navigation, and Structure
Turn website goals, audiences, content types, and conversion paths into a sitemap and information-architecture spec: navigation, a page inventory, hierarchy, URLs, user journeys, and an internal-linking plan.
Tool
Markdown Output Builder
Build prompts that produce documents in a fixed structure — headings, sections, and tables.
Step 3 of 6
Write the knowledge articles
Clear, consistent, self-contained knowledge articles.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI Content Writing Workflow
Turn source material and a target audience into clear docs, help, or knowledge-base content — gather the material, outline the piece, write it section by section, then check it for clarity and gaps.
Resource
Technical Documentation Prompt
Overview, Key Concepts, How It Works, Usage, Troubleshooting — docs pages with the same shape for every feature, and code in every usage section.
Tool
Markdown Output Builder
Build prompts that produce documents in a fixed structure — headings, sections, and tables.
Step 4 of 6
Tag the metadata
Metadata extracted so entries are filterable and maintainable.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI Data Extraction Workflow
Turn messy text into structured data you can trust enough to feed another system — bound the source, extract the fields, force clean JSON, and validate before it flows downstream.
Resource
Extract Data From Text with AI
Free text in, named fields out. The extraction prompt pattern that turns any unstructured text into consistent, parseable records.
Tool
Extraction Prompt Generator
Build prompts that extract defined fields from unstructured text — emails, invoices, tickets, résumés.
Step 5 of 6
Make it AI-retrievable
The knowledge base prepared for accurate AI retrieval.
Phase
Build & Refine
Everything you need for this step
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Workflow
AI RAG Context Workflow
Prepare documents for a RAG system so retrieved answers stay accurate — budget the chunk size to the model, ground the sources against drift, and split them on clean boundaries for retrieval.
Resource
Context Window Planning for RAG — Budget the Retrieved Docs
RAG context is a budget with line items: retrieved documents, the question, and the answer all share one window. Plan how many chunks actually fit.
Tool
Context Window Estimator
Will this fit the model's context window? Token budget planning, range-honest fit verdicts, and model comparison.
Step 6 of 6
Ship it maintainable
A deployed knowledge base with a repeatable maintenance path.
Phase
Ship & Validate
Everything you need for this step
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Workflow
AI Deployment & Release Workflow
Cross the gap between 'tests pass' and 'safe in production' — assess release readiness, plan the deploy and its rollback, and set up the monitoring and launch checks before you ship, not after.
Resource
Production Readiness Review Prompt
SHIP or DO NOT SHIP: twelve checks on failure modes, observability, rollback, and load — the review that happens before the incident.
Tool
Markdown Output Builder
Build prompts that produce documents in a fixed structure — headings, sections, and tables.