Beyond AI Slop: A Product Builder's Workflow for Shipping Useful Agentic Experiences
About this session
AI coding tools can turn a prompt into a working interface fast, but production teams need more than output. They need product context, visual quality bars, UX acceptance criteria, and human review that distinguish a useful experience from a generic demo.
Akshat Mishra, Lead Product Designer for Agentic Experiences at Docusign, shares a designer-builder workflow for using AI without losing judgment. Drawing on a computer science background and product-design practice, he will show how teams move from an ambiguous bet to a credible prototype: define the user job, capture constraints in a taste.md, generate, critique, revise, and decide what requires human control before shipping.
Attendees will leave with reusable prompts and review criteria for building agentic experiences that solve real problems, earn user trust, and feel intentionally designed.
Speaker
Key takeaways
- Create a taste.md with product, UX, and visual acceptance criteria before generation.
- Run a critique loop that turns AI output into product evidence, not a generic demo.
- Place human review and confirmation at points of highest user and business risk.