Step-by-step ChatGPT workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.
A guide for solo entrepreneurs to manage business operations using AI. Learn how to source manufacturers, build and maintain an e-commerce site, and replace dashboards with voice commands, all without a human team.
Turn a complex, artistic concept into a manufacturable 3D model. This workflow shows how to use AI to generate a design from a photo and then create CAD files for 3D printing, even for previously 'unmanufacturable' items.
Learn to translate fashion sketches into a full suite of marketing visuals. This workflow covers creating a detailed design spec, generating a core product photo with AI, and iterating for different contexts like runway and influencer shots.
Use ChatGPT's multi-modal capabilities to automatically edit user-generated content (UGC) style videos. The AI can transcribe clips, select the best takes, assemble a narrative, and redact sensitive on-screen information.
use ChatGPT Sites to generate, build, and deploy a fully functional, data-backed website on a `chatgpt.site` domain using a single detailed prompt.
Use ChatGPT Voice with screen-aware context to delegate and parallel-process complex logistical tasks like booking travel and filing expense reports, all through a single conversation.
Triage a bounded LinkedIn inbox using explicit reply, archive, skip, and stop rules while keeping final messages reviewable.
Use browser automation to experience a product through several evidence-based personas and compare where their journeys diverge.
Run browser-based QA across primary and adversarial paths, producing reproducible bugs instead of a vague test summary.
Generate a multi-page brand-kit concept with GPT Images 2.0, then use real visual references to push the result toward your brand.
Build a bedside keyboard that captures an idea with one keypress and routes the text to the right destination.
Turn your own tasting notes into a reusable preference profile, then use that profile to narrow a restaurant wine list by fit, value, and confidence instead of asking for generic recommendations.
Build a Slack focused Chrome extension that describes the image in the current message with one keyboard shortcut, presents the result in an accessible modal, and accepts follow-up questions about details you need.
Open an unfamiliar repository in Codex, ask how to run it, launch the app with the returned command, and make a small behavior change in plain language while Codex traces the relevant code.
Use ChatGPT as a first reader while you write, getting focused feedback on structure, clarity, and pace before the full draft is finished.
Use ChatGPT as a conversational thesaurus for idioms, metaphors, and precise word choices that fit the sentence you are actually writing.
Use ChatGPT with web search to map a topic, find credible source links, and uncover promising angles before drafting.
Use AI between the first and final drafts to reflect your argument, expose weak logic and missing evidence, and test clearer structures without asking it to manufacture a point of view or replace the writer's final edit.
Make a custom GPT that gives artifact feedback from a manager's explicit rubric and examples, while keeping the manager responsible for context, coaching, performance decisions, and any feedback that affects a person rather than the work itself.
Turn an authorized customer interview into a source grounded case study by combining the transcript and notes with a versioned editorial prompt, then verify quotes, outcomes, product claims, links, and customer permission before repurposing the story.
Analyze multilingual feedback without flattening language or segment differences by preserving each original response, producing traceable translations and classifications, and turning the reviewed findings into a cited product brief.
Load a proven sales framework into a ChatGPT Project, ask it for a product specific discovery guide, then add focused product and customer research so the questions diagnose real pain, impact, and critical events.
Create a personal coaching project from your own personality reports, communication guide, and working context. Use it to compare interpersonal styles, prepare for a manager, and reframe an emotional reaction without losing what matters to you.
Build a ChatGPT Project from your manager's operating manual and other professional artifacts, then use it to rehearse pitches and working conversations in the style of feedback that manager is likely to give.
Use a custom GPT to coach interviewers on the quality of their scorecards. A role rubric plus strong and weak examples produces a consistent rating, specific feedback, and a short Slack message the hiring manager can send.
Turn a loosely stated stakeholder idea into a clickable prototype during the conversation, then use the prototype to surface missing logic and align leaders, engineers, and customers before the team commits to a build.
Turn recurring writing preferences into an editing prompt that flags generic language and model habits, but keep the writer in charge of the draft, factual content, exceptions, and final voice.
Write more controllable Midjourney prompts by separating the subject, setting, and style, then vary one photographic choice at a time and keep a prompt log that connects the selected image to its intended use and rights.
Practice product interviews out loud with ChatGPT Voice by giving it the role, company context, question type, and scoring rubric, then requiring a non-leading interview and evidence-backed feedback on the answer you actually gave.
Turn recurring writing feedback into a narrow editing coach: use authorized guidance and your own before-and-after examples, define what must stay true, and review a focused edit before sending the message yourself.
Create a project-specific AI workspace from approved internal context and traceable customer research, then use it to draft product artifacts without treating scraped conversations or model summaries as an unbiased source of truth.
Debug an AI product from observed behavior instead of vibes: sample real traces, annotate the earliest meaningful failure, count a grounded error taxonomy, and build narrow evals that can tell whether a change fixed the problem without creating a regression.
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.
Turn recurring customer problems into marketing drafts by extracting source language, minimizing confidential data, generating a generalized use-case article, and requiring privacy, editorial, SEO, and campaign review before release.
Give sales and customer-success reps timely private coaching by comparing each call with a transparent behavior rubric, citing specific moments, and keeping development feedback separate from automated performance decisions.
Turn each authorized customer call into a traceable account-health signal by cleaning the transcript, resolving the account and owner, extracting evidence-backed risks and next steps, and routing the result to the right team.
Build a field research app that captures the front and back of an archival photo as a linked pair, generates a description and transcription immediately, embeds both into image metadata, and gives every file a predictable name.
Turn an authorized recipe into a cook-friendly working copy with numbered steps and inline quantities, while preserving the source ingredients, temperatures, timing, and attribution.
Create an on-demand business sparring partner from documented company context and decision principles, using it to challenge a rough idea before bringing the stronger options to real teammates.
Create a clearly labeled synthetic client from authorized public material to surface likely questions and priorities before a meeting, while keeping real client feedback authoritative.
Build a private wellness assistant that organizes your records, professional plans, daily symptoms, and wearable trends into practical questions and routines without diagnosing, prescribing, or replacing qualified care.
Move a product idea through evidence gathering, a structured opposing-view debate, a decision-ready PRD, a clickable prototype, and a short vision asset without confusing generated output for validated demand.
Create a purpose-built shared calendar from an authoritative event schedule by filtering the exact dates that matter, generating an ICS file, and validating every event before import.
Convert static customer research into clearly labeled synthetic personas whose responses stay grounded in cited source material, then use them for exploration without treating them as real customer validation.
Use a browser agent to produce a LinkedIn sourcing shortlist from a job description and job-related criteria, while keeping login, profile validation, outreach, and every hiring decision with people.
Create one maintained source of truth for approved AI tools, data rules, access, and experiments, using a baseline survey to focus governance on the questions employees actually have.
Use an authorized set of meeting transcripts to surface how the company actually makes decisions, then review the evidence and convert durable behaviors into a practical hiring rubric.
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