
How to Rapidly Prototype Mobile UIs with Index Cards and GPT-4 Vision
An editable Figma prototype that preserves the tested paper flow, uses recognizable platform components, and includes the key empty, error, loading, and completion states.
Step-by-step guides with the prompts, tools, and checks from each episode.
289 workflows

An editable Figma prototype that preserves the tested paper flow, uses recognizable platform components, and includes the key empty, error, loading, and completion states.

A version-controlled iPhone and Apple Watch prototype that captures a spoken workout, shows the parsed record for correction, syncs it reliably, and presents basic history without hiding failures or losing data.

An edited draft that preserves the author's argument and voice while identifying vague claims, repeated habits, and formulaic model language for the author to accept or reject.

A small, explained code change that fixes the reproduced failure, passes the relevant checks, and survives a branch-level review for behavior the narrow command may miss.

A selected image set with reproducible prompts, generation settings, comparison notes, and the provenance needed for safe use in the intended product or campaign.

A clickable prototype driven by reusable JSON fixtures and permitted media, plus alternate datasets that stress the same interface across different users, content lengths, and states.

A realistic spoken mock interview with a transcript, rubric-based feedback, and one focused practice target for the next session.

A custom GPT that returns a concise revision, explains the important edits, and preserves the writer's facts, intent, terminology, and recognizable voice.

A project workspace with governed context, a reproducible customer-feedback dataset, source-linked themes, and reviewed product artifacts that can be updated as the evidence changes.

A versioned business-operations repository where each task has scoped context, instructions, examples, and outputs that a permitted AI agent can use without searching the entire business history.

A prioritized error inventory, a human-labeled evaluation set, calibrated issue-specific evaluators, and evidence showing how a candidate change affects the targeted error and existing behavior.

A small set of differentiated, clickable UI directions for the same AI feature, with a recorded comparison and one direction selected for further team exploration.
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