
Build a Multi-Persona 'Sub-Advisory Board' for Instant Feedback
Create a powerful review agent in Claude Cowork that simulates a roundtable of advisors with different personas to pressure-test your work and get multi-faceted feedback instantly.
Step-by-step AI workflows extracted from How I AI expert interviews. Practical guides with prompts, code, and tips.

Create a powerful review agent in Claude Cowork that simulates a roundtable of advisors with different personas to pressure-test your work and get multi-faceted feedback instantly.

Use Claude Cowork connectors to analyze your sent Gmail messages and create a reusable skill that drafts emails in your unique voice, tone, and structure.

Create a persistent, context-aware workspace in Claude Cowork by setting up a project folder and a foundational 'brain' file with your personal preferences and instructions.

Turn reactive Slack support conversations into a lasting, public knowledge base. This workflow uses a tool like Pylon to automatically generate structured help articles from conversation threads with a single click.

Learn to provide deep technical support by consolidating multiple code repositories in VS Code and using an AI assistant like Claude Code to query your code, documentation, and customer-specific notes for hyper-personalized answers.

Build a special command for your AI agent that allows you to safely demonstrate its capabilities by anonymizing all personally identifiable information from its output in real-time.

Create powerful, personalized automations without writing any code. Simply describe a recurring problem to Claude in plain English and collaboratively refine the solution through a back-and-forth chat.

Capture tasks frictionlessly on your phone and use Claude Code to intelligently plan your day, breaking down large to-dos into manageable first steps scheduled directly on your calendar.

Create an AI agent that acts as an economic actor, autonomously paying for third-party API services to accomplish complex goals. This workflow demonstrates an agent planning a birthday party by paying for web browsing, venue search, and mailing services using Stripe.

Learn how Stripe's engineering team turns a simple Slack message into a complete pull request using AI agents. This workflow automates environment setup, coding, and testing, triggered by a simple emoji reaction, dramatically reducing the friction to start new development work.

Stop manually scheduling meetings from emails. Build a simple agent in M365 Copilot that automatically checks your calendar and sends meeting invites when it detects a request from a specific person.

Turn a multi-step scanning chore into a simple conversation. Use the AI-powered Warp terminal to control your scanner and automatically merge front and back pages into a perfectly ordered PDF.

Bypass the complex Azure web portal and manage user permissions in seconds. Use natural language prompts in the Warp terminal to assign multiple roles to users instantly, saving significant time on cloud administration.

Use this simple, powerful workflow in Microsoft Copilot to ensure nothing slips through the cracks. A single end-of-day prompt helps you identify missed tasks, unsent emails, and pending follow-ups.

Use a 'dueling agent' system with two AI personas, a builder and a reviewer, to write and review code. This workflow mimics a real-world engineering team to improve code quality, security, and architectural soundness.

Turn Claude into a product manager to maintain a dynamic feature roadmap. This workflow helps you track, evaluate, and prioritize feature ideas for your project by balancing development effort with potential impact.

Turn your team's standard operating procedure for shipping code into an executable AI skill. Automate running tests, fixing lint, pushing to the repo, and monitoring CI, saving significant engineering time and reducing friction.

Eliminate design toil by using a single AI prompt to automatically export all component states (e.g., default, error, success) from your codebase into a single Figma file. This keeps design files in sync with the live user experience.

Use an AI agent to import live application code into editable Figma files for design collaboration. Then, automatically push the updated Figma designs back into your codebase, creating a seamless loop between design and engineering.

Create an endless supply of on-brand, realistic self-portraits for thumbnails and social media. This workflow uses a set of your own selfies as strong image references in a tool like Flora to generate custom images of yourself.

Use a tool like Nano Banana (part of Gemini) to correct imperfections in images generated by Midjourney. This workflow shows how to replace objects and upscale your images using simple, descriptive language.

Learn a repeatable process to generate unique, on-brand images in Midjourney. This workflow uses mood boards, style references (SREFs), and personalization codes to create a consistent visual aesthetic without complex prompts.

Use ChatGPT's vision capabilities to analyze photos of your tasting notes. The AI will create a detailed taste profile, which you can then use to get personalized recommendations from any restaurant's wine menu.

Create an automated system that captures live audio feedback, uses an LLM to transcribe and summarize it, creates a ticket in Linear, and then triggers a pull request via a custom Slack bot.

Use Cursor's AI to analyze your engineering team's usage data from a CSV. Automatically create user cohorts and generate a gamified playbook to help everyone become an AI power user.

Use an AI agent to automatically catalog physical items like toys and books from photos, creating a searchable inventory in a note-taking app. The agent can then connect these physical items to digital plans, like suggesting relevant toys for a lesson.

Partner with an AI coding agent to build and deploy a custom TV application from scratch, even with zero prior coding knowledge. This workflow allows you to create a safe, curated content environment for your family by pulling from approved sources.

Use an AI agent to digitize curriculum books from photos, automatically generate structured lesson plans, and create custom learning materials like watercolor illustrations. This saves hours of manual data entry and creative work.

Build a custom `/deploy` command that automates the entire Git process—from branching and committing to creating a pull request and monitoring CI checks. The AI can even fix its own CI failures.

Create an automated system that uses an AI agent to convert Figma designs into Next.js code. The agent then verifies its output against the original design and iteratively corrects its own mistakes.

Use Claude Code, a dictation tool, and a three-pane workspace to turn a natural language idea into a functional Next.js and Tailwind CSS prototype in minutes, bringing design concepts to life.

Supercharge your engineering velocity by using Claude Opus 4.6 to rapidly build features and then leveraging GPT-5.3 Codex to perform a rigorous, principal-level code review for production hardening.

Leverage Claude Opus 4.6 within Cursor to perform a complete, creative redesign of a marketing website, from initial high-level concepts to a polished, on-brand final product.

Follow a step-by-step process to build a custom Chrome extension that summarizes links in Slack using Claude Code, from voice-dictated PRD to a fully debugged, accessible tool.

Build a privacy-focused Chrome extension with a keyboard shortcut (`Ctrl+Shift+S`) to instantly fix typos in any text field using a highly specific AI prompt, ensuring your meaning is never altered.

Create a personal Chrome extension that uses an AI vision model and a keyboard shortcut to generate detailed descriptions of images posted in Slack, improving accessibility and efficiency.

Use a second, more rigorous AI model like GPT-5.2 Codex to act as a critical 'staff engineer' that reviews code written by your primary, more creative AI like Claude. This multi-model approach ensures high velocity without sacrificing code quality or accumulating technical debt.

Build a custom visual dev tool to create interactive UI mockups and flowcharts. Use these visual artifacts to guide an AI model like Claude Code to build software features with greater accuracy and less ambiguity, bridging the gap between human intuition and AI understanding.

Create a virtuous cycle with Zapier that analyzes support conversations, suggests new FAQs for a knowledge base, and uses a human-in-the-loop step to ensure quality and continuously improve an internal chatbot.

Build a Zapier workflow that automatically triggers on new calendar events, fetches customer data, uses Google's Gemini to summarize it, and delivers a complete brief to your meeting notes in Coda.

Use Claude Projects to provide detailed instructions and a Zapier MCP toolset to automatically update your CRM (like Coda or HubSpot) from meeting transcripts, saving you valuable time on manual data entry.

Go beyond simple UI and learn a process for building complex applications like a 3D AI chess game. This advanced workflow covers generating 3D code, streaming AI thoughts, and a unique meta-workflow for debugging AI-generated code.

Learn how to use Vercel's v0 to add new features to a live application. This workflow covers branching, prompting, iterating, and creating a pull request, all within the v0 interface, streamlining the entire development process from idea to production.

Delegate market research to an AI agent like Clawdbot. Use a simple voice command via Telegram to have it scour Reddit for product feedback and deliver a synthesized, actionable report directly to your inbox.

Learn to use an AI assistant for calendar management without granting excessive permissions. This workflow uses a workaround where the agent creates events on its own calendar and invites you, protecting your personal data.

A step-by-step guide for developers to install the Clawdbot AI agent on a dedicated machine, navigate dependency issues, and establish a secure environment with isolated accounts and permissions.

Implement an automated 'fix and commit' loop by configuring an AI stop hook. This hook runs quality checks on AI-generated code and automatically prompts the AI to fix any detected errors.

Speed up your development workflow by creating shortcuts for frequent AI commands using shell aliases and building dedicated command-line tools to script complex, repetitive AI tasks.

Boost your AI coding assistant's performance by preloading your application's architecture using text-based Mermaid diagrams. This gives the AI deep context, resulting in faster, more accurate code-related answers.

Improve your AI's performance by moving from a single, massive context file to a modular library of small, focused markdown files. This system allows the AI to intelligently load only the most relevant information for each task, enabling you to use simple, 'lazy' prompts and get better results.

Build a custom research assistant that automatically finds relevant academic papers and generates high-quality summaries. This system delivers a daily research digest to your to-do list, helping you stay on top of your field with minimal effort.

Escape the friction of traditional GUI-based tools by building a bespoke task management system that runs in your terminal. This workflow uses Claude Code and markdown files to create and manage your to-do list with simple slash commands and natural language.

Leverage OpenAI Codex for high-level software architecture by using the `Plans.md` technique. This workflow guides the AI to generate a comprehensive, multi-step implementation plan for large projects before writing any code.

Avoid merge conflicts and work on multiple features simultaneously by using OpenAI Codex to manage Git worktrees. This workflow lets you run parallel, isolated development tasks directly from your terminal.

Learn how to use an AI coding assistant like Codex to quickly get a new project running locally and make simple code changes using natural language, perfect for semi-technical roles or exploring unfamiliar repositories.

Follow Sahil Lavingia's method for delegating small but impactful maintenance tasks, like fixing an internal Slack report, to the AI agent Devin. This workflow shows how to use simple, clear prompts to fix code and update system prompts without distracting your engineering team.

Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.

Improve your writing in real-time by using ChatGPT as a first reader. Get instant feedback on structure, clarity, and flow as you write, allowing you to polish your work section by section.

Go beyond a traditional thesaurus by using ChatGPT to find creative metaphors, replace overused idioms, and get nuanced, categorized word suggestions to elevate your writing.

Learn how to use ChatGPT to accelerate your initial article research, from asking broad conceptual questions to synthesizing information and verifying sources, turning hours of work into minutes.

Go from an empty folder to a playable 3D multiplayer prototype in about 15 minutes. This advanced workflow leverages the Claude command-line interface and parallel development to rapidly build and debug both the frontend and backend of a flight simulator game.

Learn to build a complex 3D multiplayer game, even with no prior game development experience. This workflow guides you through an iterative process of using an AI assistant like Cursor and Claude as a junior developer to go from a simple concept to a functional prototype.

Leverage Midjourney not for final assets, but as a powerful brainstorming partner to explore visual styles for a brand mascot. This workflow turns AI-generated images into a mood board to guide strategic design conversations.

Facing a tight deadline with no source files? This workflow shows you how to use Cursor to recreate a complex, animated SVG logo from just a static image and simple, descriptive prompts.

Turn a static Figma screenshot into a fully interactive, resizable prototype using Cursor. This workflow helps designers test dynamic layouts and improve collaboration with engineers before writing production code.

Use AI as a writing coach to sharpen your ideas and make your arguments more compelling. This workflow helps you clarify your core thesis, identify blind spots, and restructure your writing for maximum impact, helping your ideas get noticed and shared.

Create a custom GPT that learns your specific standards for quality work. By providing 'before' and 'after' examples, you can train an AI to act as a coach, giving your team instant, high-quality feedback that clones your expert eye.

Use Repo Prompt to gain surgical control over your AI's context. This workflow shows you how to manually select specific code files, combine them with a detailed prompt and a persona, and generate a highly-contextualized input for an LLM like Claude or Gemini.

Learn how to configure MCPs in Cursor to control external tools like a headless browser or a database directly from your IDE using natural language commands, effectively reducing context switching and manual work.

This workflow details a structured, three-step process using custom rule files in Cursor to guide an AI from a high-level feature idea to a detailed PRD, then to a complete task list, and finally through systematic execution of each task.

Create a powerful personal AI assistant by securely connecting your WhatsApp messages to a large language model like Claude. This workflow uses an open-source Model Context Protocol (MCP) to allow your AI to read your recent messages, summarize conversations, and even send messages for you.

Learn how a non-engineer built a custom, high-quality website translation service using an AI-native code editor and GitHub Actions. This workflow replaces expensive localization software and agencies, saving over $140,000 annually while improving translation quality and speed.

This workflow details how to transform a customer interview into a polished case study and a ready-to-post tweet thread in under 15 minutes. It uses an AI note-taker to capture key insights and a custom-trained GPT to handle writing, editing, and repurposing in your brand's voice.

Create a reusable system for generating high-quality, on-brand job descriptions using Claude Projects. This few-shot prompting technique saves time and ensures brand consistency for all hiring managers.

Establish a scalable art direction workflow by creating a brand 'kit' in Midjourney with Style References, allowing for rapid creative iteration, then use Replicate for final polishing like background removal.

Learn to use ChatGPT to translate, analyze, and categorize hundreds of pieces of global user feedback in minutes, turning raw data into actionable product insights and a shareable presentation.

Transform an ugly, AI-generated UI into a polished, professional design by providing specific feedback to Cursor. This workflow teaches you how to guide the AI using negative feedback, aesthetic direction, real-world examples, and established design theory.

Learn to rapidly prototype complex, interactive components with sound using a single prompt in Cursor. This workflow demonstrates how to automate project setup and generate a fully functional digital piano in moments.

Use Cursor's chat feature to explore and combine diverse visual styles like Brutalism and Y2K. This workflow shows how to generate unique design variations for a webpage by having a creative conversation with AI.

Take a detailed product blueprint and use the Replit AI agent to build, iterate, and deploy a complex, database-driven web application. This workflow demonstrates how to guide the AI through conversational prompts to create a functional app without deep coding knowledge.

Learn to transform a simple application idea into a professional-grade development blueprint. This workflow guides you through using Claude to generate detailed user stories, define system architecture, and create a phased rollout plan without writing any code.

Adopt a structured, software engineering-inspired approach to iterating on AI designs. Use forking to safely explore new ideas and apply a two-step debugging prompt to reliably fix errors without frustrating back-and-forth.

Use the Magic Patterns Chrome Extension to skip the screenshot process and extract UI elements directly from any live website. The tool uses AI to convert raw HTML and CSS into clean, reusable React components in seconds.

Learn to create a custom UI component library in v0 by feeding it screenshots of your product. This ensures all AI-generated prototypes automatically match your brand's visual identity, solving the problem of generic AI designs.

Transform a static sales methodology document into a dynamic, interactive tool. Teach a ChatGPT Project your company's framework to generate custom discovery call guides and sales scripts on demand for any product.

Create a 'Personal OS' in ChatGPT by uploading your personality assessments (like Enneagram or Myers-Briggs). Use this AI coach for self-reflection, emotional regulation, and getting personalized advice on navigating interpersonal dynamics.

Build a persistent AI assistant in ChatGPT trained on your manager's communication style. Use this 'digital clone' to rehearse pitches, requests, and high-stakes conversations to improve your chances of success.

Create a personalized AI brainstorming partner to help you prepare for high-stakes meetings and navigate complex stakeholder dynamics. This workflow uses Claude and classic literature to generate sophisticated communication strategies and actionable meeting plans.

Learn how to prototype and build a production-ready application to automate the creation of massive FDA submission documents. This workflow takes you from a simple prompt in Claude to a functional Streamlit app with features like PHI redaction and cost analysis.

Develop a custom GPT workflow to standardize and improve the quality of interview feedback. By providing a rubric and examples, the AI generates consistent, actionable feedback and a Slack summary for interviewers.

Use AI to analyze test logs, identify and prioritize technical debt, and generate a task list for AI agents like Cursor or Devin to systematically fix issues. This creates a repeatable process for improving codebase health.

Unify scattered documentation into a single repository directory. This creates a single source of truth, improving consistency and efficiency for both human engineers and AI agents.

A developer-focused guide on creating a new capability for the Goose AI agent. Learn to write a simple Python script, wrap it into a reusable Model Context Protocol (MCP) for sending emails, and integrate it into a larger workflow.

Connect the Goose AI agent to a Square dashboard using the Model Context Protocol (MCP) to automatically populate a product catalog from a CSV file and generate payment links with single prompts.

Use the open-source AI agent Goose to analyze sales data from a CSV file, generate business insights, and create a shareable HTML report with interactive charts using simple, natural language prompts.

Build a custom AI agent that interacts with users via SMS to perform tasks like matchmaking or scheduling. This advanced workflow uses a low-code stack to connect a database (Airtable), an automation engine (n8n), and a messaging API (Twilio).

This workflow shows you how to design a custom categorization system, like a Dewey Decimal System for any collection, and use AI to automatically classify hundreds of items in an Airtable database, saving countless hours of manual work.

Learn how to use a large language model like Claude as a central 'brain' for your new business. This workflow covers generating financial projections, understanding local permits, and developing customer personas from a single conversational interface.

Use a custom AI agent to transform a single-sentence product idea into a comprehensive Product Requirements Document (PRD), complete with problem exploration, solution details, and even instructions for prototyping.

Leverage a custom AI agent to pull data from multiple sources like Slack, Zendesk, and call transcripts, then use targeted prompts to perform thematic analysis and drill down into specific customer insights.

Use the Comet browser extension from Perplexity to securely log into your financial accounts, like Robinhood, and ask natural language questions to get quick, deep insights into your portfolio performance and potential investments.

Create a practical application that automatically catalogs your books by analyzing a video of your collection using Gemini Flash and Google AI Studio, then deploy it with Cloud Run to make it shareable.

Learn to generate an AI music video by creating a base image with GPT-4o, animating it with Hedra, extracting and syncing audio with Adobe Audition and Demucs, and assembling the final video in Kapwing.

When a single AI model is stuck or not providing the output you want, use this simple but effective technique. Make two different AI models compete against each other to produce a more accurate and refined result.

Develop a sophisticated AI writing assistant that drafts blog posts based on your unique style and then iteratively refines them. This workflow uses a structured grading system, modeled after an AP English teacher, to improve the quality of the AI-generated content.

Create a custom, terminal-based tool to automatically download, transcribe, clean, and summarize your favorite podcasts. This system extracts key insights, actionable quotes, and company mentions, turning audio content into a structured, readable format.

When your engineering team hits a deadlock on a new project, use an AI tool like Rork to build a functional mobile prototype. This provides a concrete vision that can unblock the team and generate new implementation ideas without writing any code.

Leverage AI tools like Perplexity and Gamma to perform deep market research in minutes and instantly create presentation-ready slides, dramatically speeding up the process of validating a product's market potential.

Rapidly convert high-level ideas from stakeholders into a functional, interactive prototype using a combination of AI transcription, prompt refinement with ChatGPT, and a prototyping tool like Lovable.

Integrate Devin AI with your alerting system like PagerDuty to act as a first responder for incidents. Devin automatically investigates issues, analyzes logs, and generates an initial report to accelerate triage and resolution by your engineering team.

Leverage Devin AI as an always-available resource to quickly handle frontend UI adjustments like button styling or spacing. Devin implements the changes and provides before-and-after visuals, drastically speeding up the review and iteration cycle.

Use Devin AI as a junior engineer to integrate a new server into an existing codebase. This workflow combines DeepWiki for codebase analysis and a detailed prompt to guide Devin, which then handles research, coding, and pull request generation asynchronously.

Transform rough, physical sketches on index cards into high-fidelity digital mockups in minutes. This creative workflow uses your phone's camera, GPT-4 Vision to upscale the design, and Figma to finalize the UI components for a polished, shareable prototype.

Implement a disciplined, three-phase AI development cycle using Cursor and Xcode to build complex applications. This workflow uses custom rules for creating requirements, reviewing plans, and executing code in small, manageable steps to ensure high quality and maintainability.

Develop a detailed 'mega prompt' for ChatGPT that includes a list of banned words, phrases, and common LLM patterns to avoid. Use this prompt to review and edit your human-written drafts, resulting in sharper, more authentic content.

Set up a coding environment with 'guardrails' like TypeScript and linters, then use a simple prompt in Cursor to let its AI agent automatically find, analyze, and fix code errors. This workflow streamlines debugging and improves code quality.

Elevate your Midjourney results from generic to professional quality using the Subject-Setting-Style framework. This workflow teaches you how to structure your prompts with specific photographic language, such as film stocks and camera metadata, to create curated, high-end images.

Move beyond 'vibe prototyping' by first generating a structured JSON data model with an LLM like Claude. This workflow demonstrates how to create a rich, realistic dataset with real media, which you can then feed into a prototyping tool for a more accurate and flexible UI.

Transform your interview preparation by using ChatGPT Voice Mode to simulate realistic mock interviews. This workflow allows you to practice answering tough product questions in a conversational format and receive immediate, candid feedback.

Build a personalized AI writing coach using a custom GPT to make your communication more concise and effective. By feeding it expert advice, you can create a tool that refines your Slack messages and emails while maintaining your natural voice.

Offload the mental burden of context switching by creating a dedicated AI assistant in Claude or ChatGPT. This 'second brain' holds all your project context and can even scrape and analyze thousands of customer conversations from sites like Reddit.

Build a highly efficient, AI-powered personal operating system by centralizing all your business context—notes, data, and prompts—into a GitHub monorepo. This allows AI assistants like Claude or Gemini to consistently and accurately automate complex tasks like writing proposals and creating content.

A structured, data-driven workflow for improving AI product quality by logging real user traces, manually analyzing errors, creating targeted evaluations (evals), and iterating on prompts or models.

Use Magic Patterns to quickly visualize and explore multiple UI designs for new AI features. This workflow helps you move from an idea to a series of interactive mockups, accelerating collaboration between product and design.

Design and refine a conversational AI by starting with ideal user dialogues in Claude. This workflow takes you from writing sample conversations to generating a fully interactive, LLM-powered prototype with a system prompt.

Move your custom Claude Skills from your local development environment to the user-friendly Claude.ai web interface. This guide shows you how to package your skill folder, upload it, and begin using it for daily tasks directly in your browser.

This workflow demonstrates how to use a previously created 'meta-skill' within the Claude Code command-line interface to generate a new, specific skill. You'll learn how to prompt Claude Code to build a skill and then immediately test it.

Learn the author's preferred method for building a powerful 'meta-skill' inside the Cursor editor. This workflow uses Anthropic's official documentation to create a reusable agent that can quickly generate new, well-structured Claude Skills on demand.

This workflow details a 'Super MVP' method for prototyping and testing a complex AI agent, like a personal morning briefer, directly in Cursor using only plain English instructions in a Markdown file. It's a powerful way for non-technical builders to create and iterate on AI product logic.

This workflow shows how product managers can use Cursor, an AI-powered code editor, to create an end-to-end system that automates PRD creation, feedback management, Jira ticket generation, and status reporting.

Use Spec Kit with an AI assistant like GitHub Copilot to improve the quality of your software specifications. The AI acts as an intelligent partner, analyzing your requirements and asking clarifying questions to help you identify edge cases and ambiguities before development begins.

Use a technique called 'vibe coding' to quickly build and refine a functional, stylized mobile app using a series of conversational prompts. This workflow walks through creating a kid-friendly fortune teller app from a simple idea to a working prototype in minutes, without writing any code.

Turn a Product Requirements Document (PRD) into a clickable, interactive prototype using Cursor. Learn how to generate the initial UI and then use text and screenshot-based prompts to quickly fix bugs and improve the design.

Define a set of instructions in a markdown file to create a custom AI agent within Cursor. Use this agent to consistently generate structured documents like Product Requirements Documents (PRDs) for your projects.

Learn to go from an empty folder to a functional Next.js web application. This beginner-friendly guide uses Cursor's AI Agent to scaffold, run, and set up version control for your first project hub.

Turn your customer conversations into a powerful content engine. This workflow uses Zapier and an LLM to extract Google Ads keywords and write fully anonymized, SEO-optimized blog posts based on real customer problems.

Automatically analyze your team's performance on customer calls with an AI coach. This workflow uses Zapier and ChatGPT to provide personalized feedback directly to employees and log performance data for managers.

Automatically scrape call transcripts from a tool like Gong, use ChatGPT to analyze sentiment and generate summaries, and send real-time churn alerts to your team in Slack with a powerful Zapier workflow.

Build a simple Mac menu bar utility, 'OCR Party,' that allows users to select a specific region of a document image and use AI for highly accurate text extraction, even from damaged or handwritten sources.

Develop a custom iOS app like 'Flip Flop' to streamline research in physical archives. Use AI to automatically describe and transcribe photos of documents and embed the data directly into the image files.

Learn to automate the cataloging of archival photos, videos, and audio. This workflow uses Python, the OpenAI Vision API, and vector embeddings to create a structured, semantically searchable media database.

Use a specific ChatGPT prompt to instantly transform cluttered online recipes into a clean, step-by-step format. This hack embeds ingredients and measurements directly into each instruction, so you never have to scroll up and down with messy hands again.

Learn to 'vibe code' a personalized party hub app using Lovable for the structure, Google Fonts for typography, and Midjourney for custom visuals. This workflow takes you from a generic AI template to a unique, 'farm-to-table' application with custom features like dietary restriction tracking.

Overcome the lack of spontaneous brainstorming in remote work by creating a custom GPT that simulates your co-founder's thinking style. Use it as an on-demand sounding board to work through complex problems and generate initial ideas.

Build a custom GPT trained on a client's public persona (articles, talks, podcasts) to simulate their feedback. This allows your team to iterate on ideas and get work 80-90% complete before presenting to the actual client, saving valuable time.

Create a custom GPT to synthesize your personal health data (medical records, wearable stats, nutrition plans) into a personalized coach that provides daily guidance on training, nutrition, and recovery.

Discover a creative way to use Google's NotebookLM as an impartial judge for demo days or hackathons. This workflow shows you how to upload audio pitches and instruct the AI to select winners based on your specific criteria.

Learn Marily Nika's rapid product development cycle using a chain of AI tools. Go from user research with Perplexity to a PRD with a custom GPT, a v0 prototype, and a promotional video with Sora in under 20 minutes.

Take an existing blog page and instantly improve its visual design, user experience, and SEO using a single prompt with an AI model like Anthropic's Opus 4.5 inside the Cursor code editor. This workflow automates the redesign process, delivering a polished result in minutes.

Use a single, clever ChatGPT prompt to generate a downloadable calendar (.ics) file of specific local events, allowing you to easily track and avoid things like game-day traffic or parking surges.

Transform dense research documents and buyer personas into interactive, conversational AI agents using NotebookLM and custom GPTs. This allows your team to directly query customer personas for real-time insights.

Build a ChatGPT agent to automatically scour LinkedIn for qualified job candidates based on a detailed job description and specific criteria, saving hours of manual sourcing time.

Move your company from risky 'shadow AI' usage to a structured, safe, and scalable program. This workflow details how to survey your team, collaborate with stakeholders, and build a centralized knowledge center for approved AI tools and data guidelines.

This workflow provides a step-by-step guide for running an interactive workshop to get non-technical team members excited and comfortable with using generative AI tools, fostering a culture of experimentation.

Learn how to transform a personal AI discovery into a formal, company-supported initiative. This workflow covers building a business case and crafting the perfect pitch to get leadership buy-in for broader AI adoption.

Execute a structured, company-wide 'Builder Day' to get your entire organization hands-on with AI tools. This playbook uses friendly competition and dedicated support to overcome adoption friction and create sustained usage.

Build an automated workflow that uses a multimodal AI to research event attendees from a simple screenshot of a guest list, then generates a personalized prep document with tailored conversation starters.

Create a custom AI application that connects to your calendar and email via APIs to help you strategically review your day, delegate tasks, and triage your inbox with brutally honest feedback.

Leverage Grok's real-time access to X (formerly Twitter) to discover passionate, talented individuals who may not have traditional, polished resumes. This workflow uses iterative prompting to find 'diamonds in the rough' that competitors might miss.

Create an automated agent that analyzes interview transcripts against a job description and company values to provide an unbiased hiring recommendation. This system acts as a consistent thought partner to reduce bias and improve decision-making speed.

Turn unstructured meeting data into a concrete, data-driven understanding of your company's real culture. Use AI to analyze meeting transcripts and generate a cultural handbook that can then be used to create objective hiring rubrics.
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