Next session: Saturday, 19 July 2026 · 6:00 PM IST · Free to attend · First 5 registrants get a 1:1 Portfolio and Application Review (… value) — 5 spots remaining
AI Product Design Live: Audit and Redesign a Real AI Product in 2 Hours — Free
Not a lecture on AI design principles. Not a case study deck. A real AI product opened, its trust failures identified, and its worst screen redesigned in Figma — live, from scratch, in two hours. You leave with the Figma file, three teardown examples, and the exact framework used to do it yourself.
First 5 registrants this month receive a free 1:1 Portfolio and Application Review (30 min · … value). 5 spots remaining.
Zoom link sent to your email immediately on registration.
What Happens in 2 Hours
One AI product. One trust failure identified. One screen redesigned. Start to finish.
The product
Every month, the workshop picks a live, publicly accessible AI product — something attendees have likely used. The product is not announced in advance. Part of the value is watching the audit process applied cold, without pre-prepared answers.
Past sessions have audited products like Perplexity, Notion AI, and AI-powered customer support tools — identifying exactly where the design fails to communicate model confidence, uncertainty, or error — and redesigning the worst-offending screen live in Figma.
How it runs
First 30 minutes — the audit: the product is opened live. The 5-criteria trust audit framework is applied: confidence signalling, error transparency, fallback design, user control, tone under uncertainty. The trust failure to redesign is selected and the reasoning explained.
Next 70 minutes — the redesign: the failing screen is redesigned in Figma, live. Every decision explained — why this component, why this copy, what AI state this screen handles, and what the user needs to feel at this moment. The redesign is compared to the original.
Final 20 minutes — the framework generalised: how to apply the same audit and redesign process to any AI product. What to look for, what to fix first, and the most common trust failures in 2026.
What you leave with
The Figma file with the redesigned screens from the session. The 5-criteria trust audit checklist. Three additional teardown examples. A recording. And a clear picture of whether the AI Product Design Course is the right next step for you.
Why This Is Free
Most designers and PMs know AI product design is a gap in their skill set. Most don't know where to start — because no course in India teaches it at depth, and the concept is abstract until you see it applied to a real product.
This workshop makes it concrete. In two hours you have seen the full methodology applied to a live product and you have a Figma file to show for it. If you want to do this yourself — to 8 states, across two portfolio case studies, with mentorship — the AI Product Design Course is where that happens.
If you leave thinking “interesting but not for me” — you keep the file, the framework, and the recording. No obligation, no follow-up sales call.
Everything You Get — Free
For every registered attendee
The Figma File from the Session
The exact redesigned screens built live during the 2-hour workshop. The trust failures corrected, the AI states applied, the copy revised — all in a Figma file you can open, study, and use as a reference for your own design work.
Why it matters: Seeing a redesigned screen is useful. Having the file — being able to inspect every layer, every component decision, every copy choice — is the difference between watching and learning.
Standalone value: … · Yours free
AI Trust Audit Checklist
The 5-criteria trust audit framework used in the session — in a Notion template you can apply to any AI product immediately. Each criterion has a definition, questions to ask, and examples of what passing and failing looks like.
Why it matters: The framework is the repeatable skill. The checklist turns the session methodology into something you can use on your next product review or portfolio project tomorrow.
Standalone value: … · Yours free
3 AI Product Teardown Examples
Three additional AI product teardown documents — products beyond the one covered live. Each identifies trust failures, notes what the design got wrong, and suggests a redesign direction. Formats include Notion docs and annotated screenshots.
Why it matters: One example teaches you the pattern. Three examples teach you to generalise it.
Standalone value: … · Yours free
Session Recording
The full 2-hour session recording sent to your registered email within 24 hours. Pause on the Figma decisions. Rewatch the audit methodology at the speed you need.
Standalone value: … · Yours free
30-Day AI Product Design Community Access
Access to the Designient AI Product Design community channel for 30 days after the workshop. Ask questions about the teardown methodology, share your own AI product audit attempts, and connect with designers and PMs.
Standalone value: … · Yours free
AI Product Design Course 48-Hour Priority Application Window
The AI Product Design Course runs 12 students per cohort and is application-based. Registered workshop attendees get a 48-hour exclusive window to submit their application before the next cohort opens publicly. Applications in this window are reviewed first.
Why it matters: If you decide the course is right for you after the workshop, this window is the difference between getting a seat in the next cohort and waiting for the one after.
Standalone value: … · Yours free
[First 5 registrants only] 1:1 Portfolio and Application Review (30 min)
A private 30-minute session with a Designient mentor, redeemable within 30 days. Review your portfolio through the lens of AI product design, or use it as a pre-application conversation for the AI Product Design Course.
Standalone value: … · Yours free
The Value Stack
| Item | Standalone Value |
|---|---|
| Figma File from the Session (redesigned screens) | … |
| AI Trust Audit Checklist (Notion template) | … |
| 3 AI Product Teardown Examples | … |
| Session Recording (sent within 24 hours) | … |
| 30-Day AI Product Design Community Access | … |
| AI Product Design Course 48-hr Priority Application Window | … |
| [First 5 Only] 1:1 Portfolio and Application Review (30 min) | … |
| Total value (all attendees) | … |
| Total value (first 5 registrants) | … |
| Your investment | … |
Who This Is For
Come to this workshop if:
- You are a designer with 1 to 5 years of experience briefed on AI features and realise your standard UX toolkit does not fully cover model uncertainty, errors, or silence.
- You are a PM shipping AI features and want to understand what “designing for AI behaviour” means before briefing your design team — or before applying to the course.
- You are a UX writer or content designer who owns the AI voice layer and wants to see how tone, copy, and error design interact with AI states in a real product.
- You are considering the AI Product Design Course and want to experience the methodology before a 6-week application-based program.
Skip this if:
- You are a complete beginner to design. This workshop assumes you can read a Figma file and know digital products as a user. If you are new to design entirely, the UI UX Design Bootcamp is the right starting point.
- You want a hands-on session where you build alongside the mentor in Figma. This is watch-and-learn — you apply the methodology after, using the Figma file, checklist, and teardown examples.
Registration
Next session: Saturday, 19 July 2026 · 6:00 PM IST
After this session: the next session runs Saturday, 16 August 2026. Registration opens 14 days before.
Zoom link sent to your email immediately. Recording and all bonuses sent within 24 hours whether you attend live or not.
FAQ
One real AI product. Two hours. Zero cost.
Next session: Saturday, 19 July 2026 · 6:00 PM IST · Zoom · Free
First 5 registrants receive a free 1:1 Portfolio and Application Review (… value). 5 spots remaining.