These are practical, high-impact tips to make your prompting sharper, more efficient, and more future-proof. Each point calls out a common blind spot and gives you an actionable step you can apply immediately. They come from hands-on use across multiple models — not theory — so you can avoid wasted time, confusion, and frustration. Save this list, revisit it, and watch your results improve over time. - Break prompts into reusable modules when they're quite big: short, focused blocks you can swap or rearrange without rewriting everything. - Use flexible wording, avoid model-specific quirks, and test prompts on multiple models while keeping a fallback version. - Explore prompts that instruct the AI to improve or analyze other prompts, building a meta-level skill set. - Record the model version in your notes and maintain a versioned prompt library for each model. - Review at least the sections on prompt formatting, capabilities, and limitations to uncover hidden features. - Decide the exact format you want (table, markdown, JSON) before prompting to ensure clean, reusable results. - Refine in steps, asking the AI to improve its own output until it meets your target standard. - Split large tasks into separate threads or requests to keep each focused and avoid token overload. - Skim the docs to learn about functions, system prompts, and structured outputs — even if you don’t code. - Complete at least one learning path to gain tested best practices straight from OpenAI. - Search for prompts and solutions others have shared to shortcut your own problem-solving. - When asking for edits or improvements, also request an explanation in a table showing why, what, and how. - Turn specific answers into generalized templates or frameworks so they work in multiple contexts. - Run edge cases, tricky inputs, and unusual instructions to discover weaknesses early. - Add “Explain your reasoning step-by-step” to spot logic gaps and strengthen your results. Bonus Tip:

Testing this out now and will create my own YT video on this in the next few days. You can sign up for access HERE. once you sign up drop your affiliate link below so we help each other out!👇 Agent Opus is an AI video creation tool developed by OpusClip. It acts as a fully autonomous "virtual video production team" designed to turn simple inputs (like a text idea, a blog link, or a news article) into high-quality, short-form viral videos (for TikTok, YouTube Shorts, or Instagram Reels). Caution ⚠️ ensure any generated broll for youtube.com is copyright free so they do not flag your video. How It Works Unlike standard AI video generators that just blindly create video from text, Agent Opus functions as a Multi-Agent System. This means it splits the work between several specialized AI "employees" that handle different parts of the production process simultaneously. When you give it a prompt, it triggers a workflow involving these specialized agents: 1. The Researcher Agent: 2. The Scriptwriter Agent: 3. The Storyboard Artist Agent: 4. The Asset Manager Agent: 5. The Motion Designer & Editor Agents: What You Can Do With It You can use Agent Opus to automate video creation from several different starting points: - Text-to-Video: "Create a 60-second video about the history of coffee." - URL-to-Video: Paste a link to a blog post, news article, or LinkedIn post, and it will summarize it into a video script. - Audio-to-Video: Upload a voice recording, and it will build visuals to match your speech. Key Features - Autonomy: It handles the entire pipeline (writing, editing, sourcing footage) without manual intervention unless you want to intervene. - Motion Graphics: It is known for adding dynamic motion graphics (moving text, icons, and animations) rather than just static stock footage. - Voice & Avatars: It includes AI voiceovers and can even generate AI avatars to "present" the video.

Im seeing alot of new pop ups in chatgpt each day i go in. They better not turn this into AMAZON! I also saw a chatgpt commerical on TV yesterday. Anyone else seeing ads for chatpt in the app or on tv? I should have taken the screenshots

OpenAI is rolled out group chats to all ChatGPT users on Thursday, turning the chatbot into something closer to a group messaging app. The feature lets up to 20 people join a shared conversation with ChatGPT. OpenAI says it’s designed for things like planning trips together, co-writing documents, settling debates, or working through research as a group, with the AI helping to search, summarize, and compare options along the way. To start a group chat, you tap the people icon and invite others directly or share a link. Everyone sets up a quick profile with their name, username, and photo. Your personal settings and memory stay private, so the AI won’t spill your secrets to the group. OpenAI says ChatGPT knows when to jump in and when to stay quiet. You can tag it directly if you want a response, and it can even react to messages with emojis and reference people’s profile photos. It’s available now to users on Free, Go, Plus, and Pro plans. This is part of OpenAI’s bigger push to make ChatGPT more social. Usage limits (credits or message caps) are applied to each individual person's account based on their own activity, not the initiator's account. When ChatGPT replies to a message, that specific response counts against the usage limit of the person who sent the prompt. Privacy & Limits: Each person's individual settings and subscription tier apply to their own interactions. If a user on a Free plan asks a question, they are subject to Free tier limits, even if the group creator has a Plus or Pro account. I may try this with my Premium and VIP members! Drop a YES or NO in the chat if you are gonna try this or not! lol👇

If you are ready to learn how to create and master your own digital twin, then join the HeyGen bootcamp on December 3rD and 4th. Its so easy to create a clone of yourself or one for your content or ads. Register HERE https://www.heygen.com/events/bootcamp-2025?utm_medium=display&utm_source=product Have you created your own AI twin as yet?