Maintaining project context for design decisions
AI is set up as a project memory bank or dedicated knowledge base that stores and retrieves PRDs, briefs, research, metrics, stakeholder feedback, prior iterations, and documentation so design work can start with full context instead of manual reassembly.
Why the human is still essential here
The designer decides what information goes in, verifies sources, interprets the retrieved context, and makes the actual design judgments.
How people use this
Design brief and PRD Q&A
AI searches briefs, PRDs, roadmaps, and past notes so a designer can ask follow-up questions without reopening every source document.
NotebookLM / Notion AI / ClaudeResearch repository recall
AI pulls cited themes and evidence from prior interviews, usability tests, and research notes to ground a new design discussion in what users already said.
Dovetail / Notion AIDecision history lookup
AI summarizes earlier rationale on component choices, stakeholder tradeoffs, and rejected directions before a review or redesign starts.
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I Use AI as a Personal Assistant on Every Design Project. Here’s Exactly How.
The design process hasn’t changed. How much energy you have left for it has.
Let me say something that might surprise you.
After years of designing at scale — AI-powered tools for 1.6M Walmart associates, global experiences at Adobe, multi-product workflows at Intuit — I don’t think AI has fundamentally changed what good design requires.
You still need to talk to real users. You still need to understand the business. You still need to make judgment calls that no algorithm can make for you.
What AI has changed is everything around the design. The retrieval. The synthesis. The prep work. The 11pm Slack thread archaeology.
And that changes everything about how much of yourself you have left when you sit down to actually create.
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