About
Samir Dash is a UX Architect and AI Design Strategist with 21+ years of experience across global tech firms like Cisco, IBM, Redhat, Samsung, Dell and Accenture. Currently a UX Arch Senior Manager at Accenture, he leads AI-driven enterprise design related re-invention initiatives as part of OpsInteractive, TFO. An award-winning innovator and mentor, he bridges design, technology, and AI-driven product experiences and specializes in human-AI interaction, ethical design, and scalable intelligent experiences. Have authored several books and academic papers on design-led automation, UX, AI-facilitated Design Thinking across industry and academia. He also has been continued to advocate for AI-powered web and application accessibility.
Workshop details
AI Design Accelerator: Fixing Context-Drift in Rapid AI-Assisted Design Lifecycle
About this workshop
This workshop will explore a practical challenge many design teams are beginning to face: AI can generate design artifacts and prototypes quickly, but the original user intent often gets diluted as teams move across prompts, tools and handoffs. Participants will work through a three-team activity. Team A will simulate a traditional vibe-coding relay, Team B will use a context-retained workflow, and Team C will jump directly from brief to code. The activity will make trade-offs visible: speed can produce polished UI, but missing context can weaken user fit, accessibility, constraints and business alignment. The session will then introduce a structured AI Design Accelerator framework that connects intent, persona, journey, stories, IA and ReactJS prototype through context handoff summaries. We will also demo an AI Design Accelerator automation application built by the team to show how stakeholders can reduce cycle time while retaining context at each stage.
Workshop key takeaways
- Identify where context drift can happen when AI-generated outputs move across prompts, tools and life-cycle stages.
- Use structured handoff summaries to retain product intent, persona signals, journey logic, constraints and business goals.
- Compare traditional vibe-coding, direct brief-to-code and context-retained workflows using a practical scorecard.
- Apply a code-first, refine-later mindset while preserving human review, accessibility validation and design ownership.
- Demo of AI Design Accelerator framework with a solution can reduce time from brief to React prototype without losing context, to show the possibility of ecosystem role in this.