Contextual Scaffolding for AI Work

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Transparency label: AI-assisted

An earlier post posed the idea of contextual systems engineering. In that vein, we’ve been developing a practical method for structuring collaborative work with AI – especially where the goal is a knowledge-based product like a report, bid, or policy framework.

The result is what we’re calling a Contextual Scaffolding Framework. It combines two models:

  • A phase model to guide the AI’s work from concept to operational use
  • A project model to structure human-AI collaboration within each phase

The idea is simple: if we want AI to be helpful and relevant, we need to give it the right context – and that context needs to evolve alongside the work.

🧱 Read the full framework here → [link to document]


Transparency label justification. The post was drafted by ChatGPT based on Alec’s prior work in a long chat, with Alec guiding tone and purpose. ChatGPT proposed structure and language, but all content reflects and links back to a human-authored framework.