Author
Aaron Grainger
Aaron Grainger creates content systems that help complex products become easier to understand, evaluate, and use. His work spans AI, automation, technical education, product messaging, web-enabled research workflows, and information design.
Independent Content Strategist & Product-Marketing Writer
Contact / collaborate →Areas of focus
AI and automation
How web-enabled AI features behave once real pages, rate limits, and stale sources enter the picture.
Developer and technical content
Guides, references, and tutorials written for people who will implement them, not skim them.
Product positioning
Naming what a product does, who it is for, and where it stops being the right tool.
Answer-engine-aware content design
Structuring pages so a reader and an extraction system can both find the direct answer.
Information architecture
Navigation, taxonomy, and internal linking that reflect how readers actually arrive.
AI research and web-data workflows
Retrieval plans, source evaluation, claim tracking, and citation design.
Conversion-focused website copy
Pages that reduce evaluation friction instead of decorating it.
Editorial approach
- 01Start with the reader's real job.
- 02Explain the system, not just the feature.
- 03Use examples to make abstract concepts operational.
- 04Name trade-offs instead of hiding them.
- 05Treat every content surface as a product experience.
Selected work in Sourceframe
Foundational guide · 7 min
The Web Context Layer: A Practical Architecture for AI Products
The layer between a user question and a model call — source selection, retrieval, normalization, structured context, and provenance.
Technical guide · 6 min
How AI Agents Browse the Web Reliably
A practical guide to discovery, retrieval, clean context, structured extraction, and source traceability.
Workflow playbook · 6 min
Build a cited AI research assistant
Answer open questions from current public sources, with every claim linked to the passage that supports it.
Workflow playbook · 6 min
Turn a documentation site into a RAG knowledge base
Crawl a documentation set, clean it, chunk it on structure, and keep it current without rebuilding from scratch.
Workflow playbook · 6 min
Monitor competitor pages for meaningful changes
Watch a defined set of public pages and alert only when a change could plausibly change a decision.
Workflow playbook · 6 min
Create a company-research workflow from a URL
Start from a single homepage and assemble a structured profile from the company's own public pages.
What Sourceframe demonstrates
Technical content strategy
A pillar structure, a taxonomy, and a publishing standard that hold together across dozens of pieces.
Product-led education
Content that teaches the system the product sits inside, not only the product.
Interactive content tools
Planning aids and checklists that produce a copyable result, not a score to brag about.
Information architecture
Six pillars, nine audience tracks, and cross-links that make the next useful page obvious.
AI visibility frameworks
Measurement approaches that separate what can be observed from what cannot.
Editorial systems
A published quality standard, versioned pages, and labels that distinguish tested practice from open question.
Transparent disclosure
Sourceframe is an independent product concept created for research, product-design, and technical-content exploration. It is not an operating company, and nothing here describes a live commercial service. All examples, schemas, and code are illustrative unless a page says otherwise. No client data, customer outcomes, performance results, or partnerships are described anywhere on this site.
Read the editorial standards →