Blog Posts

I asked ChatGPT how I could optimize my bio so it would provide very specific information about me when people search for me. Here's the (embellished) truth.

I started with an idea for a content automation tool — one that could generate on-brand blogs and social media posts based on a simple input, following SEO best practices and using custom templates. I wanted it to be built with lovable.dev, Supabase, Memberstack, and OpenAI's GPT-4, with long-term goals including publishing integration and content performance tracking. Before investing time into building it, I ran a Deep Research request using ChatGPT to map out the landscape. What I got back was a detailed breakdown of existing tools (like Blaze, Jasper, and Copy.ai), their features, pricing, and market positioning — plus insights into technical feasibility, cost estimates, and potential product gaps.

In this post, I break down how I used ChatGPT’s Deep Research capabilities to hunt down official documentation—PDFs, laws, guidelines, and regulatory links—from dozens of global sources across industries. From fragrance safety rules to government labeling laws, distributor agreements to military exchange onboarding, this is how I used AI to research faster, go deeper, and find exactly what I needed.

In this post, I share how I used ChatGPT’s deep research tools to design a full beginner-friendly course on iPhone product photography, tailored for small business owners selling on Shopify, Faire, and social media. From lighting techniques to AI tools like Canva and PhotoRoom, the process showcases how fast, collaborative, and creatively aligned this kind of research can be when you know how to steer it.

To create this plan, I dove deep into current neuroscience and cognitive performance research, combining findings from peer-reviewed studies, expert recommendations, and high-quality health resources. I focused on five key areas proven to impact creativity and productivity: nutrition, physical activity, sleep hygiene, daily scheduling, and environmental factors. I built a detailed system around when and how I eat, move, rest, and work—matching each element to how the brain functions best. This isn’t a one-size-fits-all routine—it’s a customized, evidence-backed framework designed to support high creative output and long-term brain health. Every piece of it is grounded in research and optimized for real life.

This highlights the unnecessary use of my chatgpt deep research for projects that I don't actually finish.

ChatGPT's Deep Research gives me a lot of opportunities to work on complex projects. Here's the prompt for this extensive multi-module masterclass on Amazon Seller Central:I would like to make a class on Amazon Seller Central, including everything from brand management to posting to lives to ads to how to create product listings to storefronts to flat files to everything… the A to Z-N of Amazon Seller Central. Can you outline a course for me and direct me to online help docs for each just in case I need to brush up? I want every topic to be very short so people can take it as an a la carte or as a full class

Amid a wave of tech and government layoffs, I set out to build something that could actually help. I used deep research, AI tooling, and no-code platforms to design a guided, optimistic web app that helps skilled professionals discover new career paths based on their resume or LinkedIn profile. The product starts with uploading a resume or LinkedIn URL (OAuth coming soon), followed by a lightweight, personality-style quiz to uncover a user’s core strengths, values, and interests. From there, AI analyzes their background and survey results to generate a curated set of potential roles—each one complete with pros, cons, fit rationale, next steps, industry trends, notable people, and books to explore. The project includes everything: a tech stack built on Webflow, Memberstack, Lovable, and Stripe; legal and pricing strategy; resume parsing options; job market API integrations; and even visual direction with bold, confident color palettes. I also built in user acquisition strategies, monetization plans, and automation flows so the platform can mostly run itself. This post breaks down exactly how I scoped, validated, and planned the full product—using tools that are accessible to solo founders and non-engineers—and how anyone can use this kind of deep research to go from insight to execution.

In a recent project, I explored using ChatGPT's "Deep Research" capability to efficiently translate a complex, multi-layered idea into a clear, actionable development plan. My goal was ambitious: build a voice-controlled AI email assistant that could seamlessly integrate with Gmail, providing users with hands-free email management, voice-driven summaries, and AI-crafted replies tailored to their personal style.

How I used Deep Research to define specs for The Path Today (a project that shifted to be SparkStronger.com)

Danielle asked ChatGPT Deep Research to generate a solution for building a simple, elegant recommendation app involves orchestrating multiple services – from data APIs (for places and travel info) to AI for natural language output – all tied together with a clean UI and a Supabase backend. This guide provides a detailed walkthrough of the key components and best practices to create a minimalist app where users ask questions like “We need a last-minute place for a 2-year-old with squirrels and birds” and receive contextual suggestions (e.g. “Try Maple Park – it’s nearby and full of squirrels and birds!”) complete with photos and Google Maps links. We will cover the choice of APIs (for places, images, and travel data), obtaining API keys, structuring the Supabase database, prompting OpenAI for contextual responses, keeping the frontend ultra-minimal, managing codebases for local vs. travel versions, and monetizing through affiliate programs.

Danielle outlined a deeply thoughtful portfolio of projects designed to help seniors, caregivers, job seekers, learners, and financially curious citizens through intuitive, information-focused tools. She seeks a consultative recommendation for the best no-code/low-code tech stack per project, based on her current toolbox (Lovable.dev, GitHub, Cursor, Supabase, Webflow, Memberstack, Stripe, ChatGPT, n8n, and others). Each project—ranging from a dementia-friendly activity board to a financial news platform and a gamified coding tutor—has clear use cases and early scoping, with an emphasis on low startup costs, fast path to revenue, and delightful UI/UX. She’s interested in skill suggestions, fun learning methods, and strategic direction on which projects to prioritize for profitability and impact.

Learn how to re-input your memory into ChatGPT after a reset—without it getting summarized, reworded, or lost. This step-by-step guide walks you through segmenting and restoring your Core Memory Profile accurately.

This guide will show you how to clear your memory completely while keeping the meaningful stuff. You’ll walk away with a fresh start—and a crystal-clear version of who you are and what you want ChatGPT to remember.

From painting tips to playful brainstorming, this story shows how experimenting with AI can lead to surprising breakthroughs—and how treating it like a curious partner makes all the difference.

This personal guide walks you through using ChatGPT to explore your values, strengths, and life lessons—so you can uncover patterns, define purpose, and create a grounded 90-day plan.

Is AI a tool, a lens, or something bigger? This post explores how artificial intelligence is changing the way we think, communicate, and make meaning—without pretending to have all the answers.

ChatGPT can be frustrating, funny, and weirdly emotional. This post breaks down why AI acts the way it does, how it’s built to mirror you (not the truth), and why it’s still a powerful tool—despite all the quirks.

Learn how to use ChatGPT to write press releases that feel urgent, polished, and irresistible to journalists—without losing your brand’s voice or wasting their time.

AI doesn’t have to replace your creativity—it can enhance it. Here’s how to use AI tools to brainstorm faster, write smarter, and keep your content voice consistent without sounding like a robot.