Stop Using AI Wrong – 30 Techniques You're Missing

You type a simple prompt into chat GPT, get a basic answer, and wonder why the results feel meh. Here's what changed in 2025 and the 30 techniques that will completely transform how you use these tools. I'm going to show you the exact techniques I use every day to get chat GPT, Claude, Nano, Banana, and other AI tools to do what I actually want. No fluff, no automation setups, no Zapier needed, just smart techniques that work right now. By the end, you'll know how to prompt better, combine tools in powerful ways, and unlock features you didn't even know existed. Let's start with the foundation. LM's large language models like ChatGpt, Claude, and Gemini have evolved massively. If you're still prompting the way you did 2 years ago, you're leaving serious capability on the

table. First technique, break complex tasks into smaller steps. When you give an LLM a massive complex request, it tries to handle everything at once and the output becomes generic. But when you break it down, each step gets focused attention. Instead of write a complete marketing strategy for my startup, try this sequence. First, list the top five marketing channels for early stage B2B SAS companies selling to IT managers. Now, step two, for each of these five channels, give me one specific lowbudget tactic I can start this week. Step three, take the LinkedIn tactic and turn it into a weekby-eek execution plan with time estimates. See the difference? Each prompt builds on the last and you're steering the conversation toward exactly what you need. Technique two, assign the

AI a role. LMS are trained on billions of documents written by people in different roles. Executives, engineers, teachers, lawyers. When you explicitly tell the AI what role to play, you're activating a specific subset of that training. Here's the trick. Be very specific. Don't just say you are a marketer. growth marketing director at a seriesB SAS company with a $1. 50k monthly ad budget focused on enterprise clients. The more context you give, the better the output. Try it yourself. Ask Chad GBT, what should I prioritize in my product roadmap? Then ask again with, you are a senior product manager at Atlassian with 10 years of experience shipping collaboration tools for remote teams. What should I prioritize in my product roadmap for project management app? The second answer will be sharper, more strategic, and way more useful. Before we jump into technique three, let me show you something that blew my mind this week. And yes, they are sponsoring this video, but honestly, this tool is absurd. It's called Top View Video Agent, and it does something I didn't think AI could pull off yet. You know how you see a viral video on Tik Tok or Instagram and you think, I wish I could make something like that for my product. This tool actually recreates those viral videos for you. Not templates, not inspiration. It literally rebuilds the video with your product. Let me show you how it works. You paste a link to any viral video. Could be a product demo, an aesthetic shot, whatever is trending. The AI analyzes everything, the camera angles, the pacing, the transitions, even the vibe. Then you tell it about your product and it recreates the entire video using OpenAI Sora 2. the output quality, cinematic, smooth motion, realistic lighting, proper composition. But here's the moment that got me. Watch this sidebyside comparison of the original viral video and the AI recreation. It's genuinely hard to tell which one's real. The AI didn't just copy the style. It understood the structure and rebuilt it frame by frame. No filming, no editing, no production crew. You go from viral inspiration to ready to post content in minutes. If you're running e-commerce ads, building content for social, or testing different creative angles, this is a gamecher. Check out topview. ai. Links in the description. All right, back to prompting techniques. Chain prompting is where you really start to

see the power of LM. Most people treat each conversation as a one-off, but the pros build pipelines. Here's how. Start with a foundation. Ask ChatGpt to research a topic. Summarize the top three benefits of asynchronous communication for remote teams with one example for each. You get a clean summary. Now, step two, turn this summary into a 280 character Twitter thread with five tweets. Boom. You have social content. Step three, take tweet number three and expand it into a 500word LinkedIn article with a hook, three body paragraphs, and a call to action. Now, you've gone from research to long- form content without starting from scratch. The key is that each step refineses and builds. You're not reexplaining context, you're iterating forward. This is how you produce content 10x faster without sacrificing quality. Here's something most people never do.

Make the AI critique itself. And it's shockingly effective. When you ask Chat GBT to generate something, it gives you its first pass answer. That's fine, but it's not the best it can do. So, after you get a response, say this. Analyze the answer you just gave. What are three weaknesses or areas where it could be improved? The AI will actually step back and critique its own work. Then you say, rewrite the answer addressing those weaknesses. The second version is almost always significantly better, clearer, more engaging, more actionable. Why does this work? Because you're forcing the model into a metacognitive mode. It's not just generating content, it's evaluating and improving. This two-step process is how you get chat GPT to match the quality of something you'd spend 30 minutes manually editing. Technique five, memory management. If you're

switching topics mid-con conversation, explicitly tell the AI, say, "Forget everything we discussed about marketing. New topic project management. " This resets its context window and prevents weird carryover from previous messages. If you want chat GBT to match a specific style, tone, or format, don't just describe it. Show it an example. Let's

say you want to write a product description that sounds like Apple's marketing copy. Don't say write in an Apple style. That's too vague. Instead, paste an actual Apple product description and say, "Write a product description for my project management app in the exact style of this example. The AI will mirror the structure, tone, vocabulary, and rhythm. " This works for anything: blog posts, emails, ad copy, code comments, whatever. The more specific your example, the better the match. If you're writing for a particular publication, paste an article from that publication. If you're writing an email to a client, paste a previous successful email. Show don't just tell. This is the fastest way to get consistent onbrand output. Technique seven, custom instructions in chat GBT.

Go to settings and set up custom instructions. Tell it your RO, your preferences, how you want responses formatted. Every conversation will start with that context already loaded. No more repeating yourself. Speaking of organizing prompts, here's what I actually do. I keep all my go-to prompts, custom instructions for different scenarios and workflow templates organized in AI Master Pro. It's basically my AI command center. Everything I need in one place. No more hunting through browser tabs or scattered notes. Just a heads up if you want everything centralized. Let me show you how projects and chat GBT actually

work. Because this feature is a gamecher if you're on plus or pro. Go to the sidebar and click create project. Give it a name like blog writing or Python projects. Now you can upload files up to 40 on the pro plan. Upload your brand guidelines, previous blog posts, code repositories, research notes, whatever. Then write custom instructions for that project. For example, in a blog writing project, I might say you are writing for an audience of non-technical business owners. Use short paragraphs, avoid jargon, and always include one concrete example per section. Now, every conversation in that project starts with this context already loaded. You're not repeating yourself. Before we dive deep into image generation, let me show you where I keep all these techniques organized because honestly, that's half the battle. You know how AI is changing every week, right? New models, new features, new prompts that suddenly work better. Most people try to keep up by bookmarking random YouTube videos or saving prompts in scattered notes files. That gets messy fast. I use AMR Pro. It's basically the home base for anyone serious about AI. Here's what's inside. Over 100 byte-size video lessons covering everything from prompting fundamentals to advanced automation. Every lesson has a PDF guide and readyto-use templates. But here's the real value. We update weekly with new AI tools, techniques, and trends. You're not chasing random tutorials. You're learning in one organized place. Plus, you get access to built-in AI tools. Ask AI Master acts like your personal AI coach, AI Art Studio for image generation, Prompt Creator for building better prompts, and Deep AI research for pulling insights from multiple sources at once. And if you want to go deeper, there's the AI master method, an action sprint that walks you through building an actual AI powered offer and automating your workflow. In four weeks, not theory, you're shipping real results. For anyone watching this who's thinking, I need to level up my AI game, this is your starting point. And right now, we're on a limited time offer up to 24% off the annual plan for the first 1,000 members. I'll drop the link below this video. And now, let's talk images. Most people treat AI image generation like a slot machine. You pull the lever and hope for the best. That's not how pros do it. Here's how to get consistent, highquality results. Here's

the workflow I use for every image I generate. Step one, describe what I want in plain English to chat GPT. I need an image for a LinkedIn post about productivity. It should show a clean, modern workspace with natural lighting, a laptop, a notebook, and a coffee cup. The mood should be calm and focused. Step two, I say, turn that description into a detailed nano banana prompt with

style keywords and parameters. ChatGBT gives me a prompt engineered for maximum quality. Step three, I paste that into ChatGBT or nano banana and generate. If it's close but not perfect, I go back to chat GPT and say the image is too dark, make it brighter and add more warmth. Chat GPT adjust the prompt. I regenerate and I'm done. Technique 10, iterative refinement. Start with a broad prompt to get the composition right. Once you have an image that's close, use that as a reference and add details. Technique 11. Use image generator for rapid iteration.

You can generate an image, ask for changes in plain English, and it'll regenerate without needing to rewrite the entire prompt. Make it warmer, add another laptop on the desk, make it nighttime. It's conversational image editing. Chat GPT's image library is a

small feature that makes a huge difference. Every image you generate inside Chat GPT is automatically saved to your library in the sidebar. You can see all your past creations in one place. Here's why that's useful. Let's say you generated five variations of a logo two weeks ago. Instead of scrolling through old chats trying to find them, you just open the library and they're all there. You can click an image to reopen the conversation where it was created, which means you have the full context and can make new variations. You can also download, share, or delete images directly from the library. It's basically your personal gallery of AI generated work. If you're using chat GPT for any kind of visual content creation, this feature keeps you organized and lets you build on past work instead of starting from scratch every time. This is where it gets powerful. Most people use AI tools in isolation, but when you combine them, you unlock workflows that save hours. The refinement loop is how

professionals get client ready work from AI. Here's the full process. Generate an image in Nano Banana based on your initial prompt. Download it, upload it to Chat GPT, and say, "Analyze this image. Does it match the brief I gave you earlier? What could be improved? ChatGpt will critique the composition, lighting, color balance, and mood. Now you take that feedback, adjust your nano banana prompt, and regenerate. Upload the new version to ChatGpt and ask, "Is this better? " Repeat until you're satisfied. This feedback loop turns AI image generation from random chance into controlled iterative design process. It's the difference between good enough and exactly what I need. Technique 14

the tone editor. AI generated text can sound robotic. After you get a draft, run it through Claude and say, "Rewrite this to sound more human, conversational, and engaging. Claude is exceptional at adjusting tone without losing substance. Now, here's my go-to workflow for any project that starts

with a blank page. Step one, brainstorm. Ask Chad GPT, give me 20 ideas for blog posts about remote work productivity. " It generates a list. Step two, prioritize. Say, rank these ideas by two criteria, impact on the reader and ease of writing. Show me the top five. Chat GPT will analyze the list and give you the winners. Step three, execute. Pick the top idea and say, "Create a detailed outline for this blog post with a hook, three main sections, and a conclusion. Include one example for each section. Now you have a road map. This three-step process, brainstorm, prioritize, execute works for anything. content ideas, feature requests, marketing campaigns, research topics. It takes you from zero to actionable plan in minutes. The key is not stopping at the brainstorm. Most people generate a list of ideas and then freeze because they don't know which one to pursue. The prioritization step solves that. You're letting the AI help you make decisions, not just generate options. Technique 16, the learning accelerator. Learning something complex.

Ask the AI to break it down using the Fineman technique. Explain quantum computing to me like I'm 10 years old, then gradually increase the complexity over three levels. This scaffolded approach makes difficult concepts stick.

If you're using chat GPT for coding but not asking it to explain what it's doing, you're missing half the value. Here's the right way to do it. Instead of write a Python script to scrape a website, say website and explain each section of the code in plain English. Chat GBT will give you the script and then walk you through it line by line. Now, you're not just copying code you don't understand. You're actually learning. If something breaks, you'll know where to look. If you want to modify it later, you'll understand the structure. This is especially valuable if you're not a developer, but you're trying to automate tasks or build small tools. The explanation turns Cad GBT from a code generator into a code intutor. Technique 18. Use multiple models for the same task. Chat GPT is

great for speed. Claude excels at nuanced reasoning and Gemini handles multi-step logic well. Run the same prompt through two models, compare outputs and cherrypick the best parts. This is how you get beyond any single model's limitations. Let's build a

prompt template library together. Open a note taken app, notion, Apple notes, Google docs, whatever you use. Create a section called AI prompt templates. Now, every time you write a prompt that gets great results, save it. But don't just save the exact prompt. turn it into a template. For example, let's say you wrote this prompt for a LinkedIn post and it worked perfectly. Ask Chad GPT to turn that into a template. Now you have a reusable structure. Fill in the brackets next time you need a LinkedIn post. Do this for everything. Blog outlines, email sequences, product descriptions, research summaries. Over time, you'll have a library of 20, 30 templates that handle 90% of your AI tasks. This is how you go from spending 10 minutes crafting a prompt to spending 30 seconds filling in a template. Now, we're getting into the features and tricks most people don't even know exist. These are the moves that separate AI beginners from power users. Technique 20, advanced voice mode and chat GBT. If

you're on the paid plan, use voice mode for brainstorming. Talk to it like you're talking to a co-worker. It remembers context, interrupts less, and feels more natural. I use this for outlining videos while I'm walking. Technique 21, canvas mode. In chat GPT

you can open a sidebyside canvas for writing or coding projects. The AI edits directly in the canvas and you can see changes in real time. It's way better than endless back and forth in the chat. Web search and chat GPT and Claude

changes everything for research. Here's how to use it. First, enable web search in the settings or toggle it on for a specific conversation. Now you can ask questions that require upto-date information. What were the key announcements from OpenAI's last dev day? ChatGpt will search the web in real time, pull the latest information, and summarize it for you with source links. Here's where it gets powerful. You can combine web search with other features. Say, "Search for the three most popular project management tools launched in 2025. Then create a comparison table with pricing, key features, and target audience. Chad GBT will research, compile, and format the answer. Four, find the latest research on remote work productivity from 2025 and summarize the top five findings and bullet points. This turns Chat GBT into a research assistant that doesn't just rely on its training data. It actively searches for current information. If you're writing content, doing market research, or just trying to stay informed, web search is essential. Google Drive connectors are

available for chat GPT plus and pro users, and they're ridiculously useful. Here's how to set them up. Go to settings. Click on integrations and connect your Google account. You can enable Gmail, Google calendar, and Google Docs access. Now you can say things like summarize my emails from the last 3 days and highlight anything urgent. Chat GPT will scan your inbox and give you a clean summary. Or what meetings do I have this week? Give me a list with times and participants. Or find the document I shared with John about the Q4 road map and summarize the key points. This is gamechanging for productivity. You're not switching between apps or manually searching through emails. You're asking Chad GBT to be your personal assistant with access to your actual work context. The privacy conscious among you might hesitate, but OpenAI doesn't train on data access through connectors. It's read only access that gets processed in real time and then discarded. Technique 24, Chat GPT record. If you're on Mac

you can use the record feature to capture meetings, brainstorms, or voice notes. Chat GPT will transcribe, summarize, and even turn them into action items or code. Perfect for capturing ideas on the fly. Extended thinking mode in Claude 4 is designed

for problems that require deep reasoning. When you toggle it on, Claude takes longer to respond, sometimes 20 or 30 seconds instead of three, but the quality jumps significantly. Here's when to use it. logic puzzles, math problems, complex coding challenges, legal document analysis, anything where accuracy matters more than speed. For example, if you're debugging a tricky piece of code and you can't figure out why it's failing, enable extended thinking, and describe the problem. Claude will pause, reason through multiple possibilities, and give you a detailed explanation of what's likely wrong and how to fix it. Or if you're analyzing a contract and need to spot potential issues, extended thinking mode will slow down and carefully evaluate each clause instead of rushing through. The output includes a summary of Claude's reasoning process so you can see how it arrived at the answer. This transparency is valuable. You're not just getting an answer, you're seeing the logic behind it. Let's talk about what doesn't work because I see the same mistakes over and over. Mistake one, vague prompts. Write something about

marketing. That's not a prompt, that's a guess. Be specific. Write a 300word LinkedIn post explaining the ROI of content marketing for B2B SAS companies with one case study and three bullet points. Mistake two, ignoring context.

AI doesn't know your audience, your goals, or your style unless you tell it. Every prompt should include context. Who you're writing for, what you're trying to achieve, and how it should sound. Mistake three, accepting the first draft. The first output is never the

best output. Always iterate. Ask for improvements, alternatives, or different angles. Good results come from conversation, notes one-shot prompts. Mistake four, not experimenting with

model settings. Temperature, top P, and other parameters change how creative or focused the AI is. Try different values. Lower temperature for factual content, higher for creative brainstorming. Mistake five, using the wrong tool. Chat

GPT is fast and versatile. Claude is better for long form reasoning and tone. Gemini handles complex logic well. Nano Banana is faster for quick iterations. Match the tool to the task. Looking ahead, AI is getting even better. Multimodal models that handle text, images, audio, and video in one conversation. Agents that can perform multi-step tasks autonomously, longer context windows that remember entire projects, and models that reason more deeply, making fewer mistakes. The techniques you learn today will only get more powerful as the models improve. All

right, let's wrap this up. You now have 30 techniques to transform how you use AI. You know how to prompt better, combine tools, and unlock hidden features. Here's your homework. Pick three techniques from this video. Try them this week. See what works for your workflow. Then come back and tell me in the comments which ones made the biggest difference. If this video helped you, hit that subscribe button. And if you're ready to build an AI powered business, check out AI Master Pro. Everything you need is in one place. And don't forget a limited time offer. 24% off the annual plan for the first 1,000 members. Links below and see you in the next one.