Step-by-step Cursor workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.
Coordinate agents in Slack and Cursor to propose growth experiments for human review. Ezra’s Auto XP system was still being developed at the time of the episode.
Use Reddit's internal prototyping tool, Reddit Proto, to build a working prototype of a new feature, like search, and test it with your own signed-in Reddit data for more realistic feedback.
Use Reddit's internal toolchain to translate a high-fidelity Figma design into a structured Product Requirements Document (PRD) and then into production-shaped code for engineering review.
A fun, creative project that shows how to connect modern APIs to vintage hardware. This workflow uses a chain of services, coded with AI, to deliver notifications from Twitter/X to a real pager.
Create a tangible connection with your online audience by building a thermal receipt printer that prints messages sent from a public webpage. This project uses an AI code editor to bridge the gap between software and hardware.
Set up a long-running AI task in Cursor to autonomously pull error logs from Sentry and Vercel, analyze them, and generate a prioritized bug-fixing plan, including surfacing critical P0 bugs.
Use an AI model like GLM 5.2 to analyze an entire codebase, summarize its architecture and recent changes, and then generate a visual HTML report to share with your team.
setting up the cost-effective GLM 5.2 AI model in your Cursor code editor using an Open Router API key, unlocking powerful, affordable AI assistance for your coding tasks.
Overcome generic AI-generated designs by building a custom prototyping environment. This workflow connects your company's design system to an AI code editor, ensuring all prototypes are on-brand and high-fidelity.
Ship a useful free tool that solves a narrow audience problem and naturally introduces the paid product.
Turn raw Cursor usage data into defensible adoption cohorts, a reusable analysis, and practical coaching that helps each group try the behavior most likely to deepen its use of AI.
Turn a spoken product idea into a working prototype by pairing plan mode with repository context, a live preview, and browser checks the agent can run without handing every validation step back to you.
Pair Opus 4.6 as the eager builder with GPT-5.3 Codex as the rigorous reviewer: let one create the broad change, then let the other challenge its architecture, performance, and edge cases before shipping.
Use Claude Opus 4.6 for broad creative development by giving it a real codebase and ambitious brief, then correcting generic visual output with direct taste feedback before scaling the approved system.
Shape a small product improvement in v0, hand the refined specification to Devin, and use the working preview to finish the feature quickly.
Build a 3D game as a sequence of playable slices, asking the coding assistant to explain unfamiliar graphics and networking choices, measuring each new behavior, and returning to a clean checkpoint when layered fixes obscure the coordinate or state model.
Rebuild a missing logo microinteraction from an owned SVG and reference animation by measuring timing and geometry, implementing accessible SVG motion, and comparing the result frame by frame across product contexts before replacing the old asset.
Turn a static Figma direction into a disposable interactive prototype that reveals responsive, resizing, toggling, and edge behavior, then hand engineering the decisions and evidence rather than presenting prototype code as production code.
Extend Cursor with one narrowly scoped MCP at a time, inspect the tools it exposes, and test read only browser or external actions in a sandbox before allowing the agent to touch authenticated sessions, databases, or mutable systems.
Turn a feature idea into a repository specific PRD and task list, then have Cursor implement one small subtask at a time with explicit context, checks, commits, and stop conditions so errors remain easy to locate and reverse.
Build a version controlled localization service that extracts changed source strings, translates them with a language specific glossary and style prompt, validates placeholders and structure, and routes uncertain copy to native language review.
Refine a generic generated interface by diagnosing hierarchy and interaction problems, translating strong references into explicit design principles, and iterating one controlled layer at a time while preserving content, accessibility, and real behavior.
Create a reusable Cursor playground for interactive prototypes, then build a small digital piano whose visual keys, keyboard input, audio engine, focus behavior, and mobile interaction are explicit and testable.
Use Cursor as a visual brainstorming partner by asking for concrete aesthetic vocabularies, combining selected properties with permitted references, and exploring several reversible branches before choosing a direction.
Capture a noisy test run, have Claude group warnings by type and worst offending files, save the result as a tiered migration checklist, and let Cursor or Devin take the next bounded task whenever capacity opens.
Move engineering guidance into the repository, keep full human documentation under docs, and create concise central agent rules that link to it. Tool specific files then point to one source instead of duplicating instructions.
Build a multi-device fitness app by proving the smallest voice-to-structured-data loop first, then use Cursor for scoped planning and implementation while Xcode, physical devices, version control, and privacy constraints provide the feedback the agent cannot infer.
Give Cursor reliable feedback loops before asking it to repair code: establish types, linting, formatting, and focused tests, let the agent reproduce a failure, then inspect the diff and rerun the same checks plus a reusable branch review.
Organize reusable business context, instructions, and small automations in a private GitHub repository so different AI tools can work from the same governed source without mixing client data, secrets, or unrelated tasks.
Build a small meta-skill that creates other Claude skills consistently: ground it in the current format, keep the folder lean, validate the structure, and test whether it produces a useful second skill.
Test an AI product idea before building software: prove the task manually in chat, describe a small agent in a PRD and technical note, then run its instructions against real tools inside Cursor.
Run a product-management loop from a source-controlled Markdown PRD: publish a collaboration copy, bring comments back into Cursor, create traceable Jira work, and assemble status updates from the records the team actually maintains.
Use Spec Kit as a questioning partner for a substantial feature: write the first specification, answer the ambiguities it finds, and turn those decisions into requirements and acceptance criteria an implementation team can use.
Turn a PRD into a clearly labeled local prototype, test the critical path with mock data, repair visual defects from screenshots, and improve the design with concrete references and accessibility constraints.
Encode a compact document standard in a repository instruction file, invoke it with a specific brief, and improve the reusable instructions from the rendered output rather than rewriting every document by hand.
Create a small local Next.js project from an empty folder with Cursor, learn how to run and inspect it, and save a private version-controlled baseline before adding real features.
Turn archival images, video, and audio into searchable database records. Tim combines embedded metadata, web research, visual captions, Whisper transcripts, and fused embeddings so researchers can find assets by meaning, not only exact keywords.
Give a coding model a real blog repository and outcome-based redesign brief, then judge the result on brand fit, usability, responsive behavior, accessibility, SEO, and regression evidence before shipping.
Win support for an AI-adoption initiative by pairing a concrete personal proof point with a specific business problem, a bounded experiment, and a clear request for sponsorship.
Run a focused builder day that gives every function approved tools, a relevant starting track, live support, and time to produce a real prototype, then measure whether usage continues afterward.
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