Markdown is for Thinking. HTML is for Showing.
Summary
The article addresses why AI-generated technical specifications, often presented in markdown, are frequently unread, proposing a two-stage workflow to improve their utility. It draws an analogy between architectural sketches and blueprints to distinguish between early-stage, messy ideation and polished, final documentation. The author recounts an experience where a 340-line markdown file from Claude for a database migration was overwhelming and unhelpful. This observation is framed against a debate between Thariq (Anthropic), who advocates for HTML for AI code output due to its density and shareability, and Daniel Miessler (PAI Founder), who argues for text's direct connection to thought. The article suggests both perspectives are valid but incomplete, implying a need for a structured approach to AI output presentation.
Key takeaway
For AI Architects and Engineers generating technical specifications, recognize that raw AI output in markdown often serves as a "pencil sketch" for ideation, not a final "blueprint." You should implement a two-stage process: use markdown for initial AI-assisted brainstorming, then refine and present critical information in a more structured, readable format like HTML for stakeholder review and implementation, ensuring clarity and actionability.
Key insights
AI output needs a two-stage workflow, distinguishing between raw ideation and polished presentation.
Principles
- Match tool to job
- Clarity over density
- Separate ideation from presentation
In practice
- Use markdown for early-stage AI ideation
- Convert polished AI output to HTML for sharing
Topics
- AI Content Generation
- Markdown Formatting
- HTML Presentation
- Technical Documentation
- Information Readability
Best for: AI Engineer, AI Architect, Director of AI/ML
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Editorial summary, takeaway, and curation by AIssential. Original article published by Towards AI - Medium.