🏴‍☠️ ChatGPT Hacks

Unlock Its Power Tools

You are likely utilizing less than 10% of ChatGPT’s actual potential, effectively using a tiny screwdriver to do a job that requires a full set of industrial power tools.

Most people treat AI as a simple question-and-answer bot, unaware that it has evolved into a comprehensive operating system capable of seeing, hearing, and managing complex workflows.

I just watched a breakdown by Dan Martell, a software CEO and productivity expert, who demonstrated over two dozen features that change how we interact with this technology. He argues that by ignoring these settings, integrations, and modes, we are choosing to work harder rather than smarter.*Ad

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The Core Concept: From Chatbot to Intelligent Agent
The central theme is a shift from passive prompting to active integration. ChatGPT is no longer just a text generator; it’s a customizable workspace that can be tailored to your personality, career context, and data needs. When you configure memory, connect live tools like your calendar, and enable vision through your camera, you stop using it like a search engine and start using it like an executive assistant.

Mastering Context, Memory, and Personalization
One of the biggest time-wasters is repeating context. He recommends using Custom Instructions to set the AI’s tone (for example, “direct and ruthless” or “encouraging”), and filling out the “About You” section with your role, goals, and active projects so responses stay aligned. He also highlights the Memory feature, which lets the AI retain details like training times or business KPIs and reference them later without being prompted.

For distinct workflows, he suggests using Projects. Projects act like folders where you can upload specific files (such as PDFs of email threads or business plans) so the AI stays grounded in the right dataset. This compartmentalization helps prevent personal and business contexts from bleeding into each other.

Interacting Beyond Text with Vision, Voice, and Canvas
Sticking to the text box limits speed. He advocates Voice Mode for rapid brainstorming while walking or driving, including the ability to interrupt and speak naturally. He also demonstrates Camera Mode, which turns the AI into a visual troubleshooter for things like identifying dashboard warning lights or diagnosing plant care needs.

This visual input extends to Deep Research mode, where the AI verifies information across the web rather than guessing. For writing and coding, he introduces Canvas as a workspace with granular editing, letting you highlight specific sections and request targeted rewrites or bug fixes instead of regenerating everything. He also mentions Data Interpreter for uploading CSVs and turning spreadsheets into charts and actionable insights.

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The Power of Apps, Agents, and “Illegal” Integrations
The most advanced moves involve connecting ChatGPT to external apps to automate actions. He explains linking Google Calendar and Gmail so the AI can read your schedule for time audits and summarize unread emails. He notes that, natively, it still cannot send emails or create calendar events directly.

He shares a workaround using a tool called Roob.app connected through developer settings, which can bridge that gap and let ChatGPT execute tasks like sending emails or booking meetings.

He also explores integrations like Spotify for focus playlists, Canva for turning prompts into slide decks, and Figma for visualizing org charts. For travel, connecting Booking.com can help plan and price trips, and a browser called ChatGPT Atlas combines browsing with agentic workflows like researching restaurants and compiling results into a Google Doc. These integrations turn the AI from a passive tool into an active agent that handles the heavy lifting of digital work.

For the full visual walkthrough of these settings and the specific prompts used, you should watch the original video.

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