How to Talk to AI

These prompts save you £50k+ in consulting fees. Great share by: Chris Donnelly Original post below: ⬇️ ⬇️ ⬇️ These prompts save you £50k+ in consulting fees. And you can steal them here for free: Most CEOs and founders get slop from ChatGPT. Even though it has the capacity to replace a McKinsey-level consultant. The problem isn't the tool. It's how you're using it. Here's the 6-step system I use to get insane results: 1. Give it a role.  ↳ Tell it who to be: a blunt CFO, a strategist, a retention expert. 2. Give a clear command.  ↳ Use a verb and the outcome you need: draft, critique, rank, outline. 3. Set constraints.  ↳ Word count, tone, time frame, what to avoid. 4. Provide context.  ↳ Share the background you'd give a real person.  (Audience, goal, obstacles, past attempts) 5. Specify the format.  ↳ CSV, bullet points, table. This will get you the results you want. 6. Add a human touch.  ↳ Fact-check, adjust tone, add your story. It's your name on it. Each of the prompts below uses this stacked system. Here's what they do: (See the visual for the full prompts 👇) 1. Profit Leaks Audit Acts as a CFO to identify where profit is leaking.  Focuses on the top 5 opportunities with clear financial upside. 2. Market Positioning Breakdown Acts as a strategist to analyse your positioning and messaging.  Highlights what feels generic or unclear in under 300 words. 3. Pricing Power Review Acts as a pricing consultant to improve profit without losing customers.  No new products required. 4. Leadership Alignment Check Acts as a founder coach to create a 5-question diagnostic.  Reviews decision-making, accountability, and execution. 5. Investor Readiness Report Acts as an investor reviewing your business.  Scores team, market, traction, and scalability out of 10. 6. Growth Bottleneck Review Acts as a COO to identify the 3 biggest constraints. Reviews obstacles across people, process, or product. 7. Retention Strategy Audit Suggest 3 experiments to raise LTV by 20% in 90 days.  No discounts or paid ads. 8. Founder Time Review Acts as a performance coach to review how you spend your time.  Identifies what should be delegated, automated, or dropped. You would think that tools would level the playing field. But access alone isn't enough. The difference between good and great founders... Is knowing how to extract real value from them. What's your process for prompting AI?  Drop it in the comments below. As AI develops, it's changing the way we search and purchase. We built @Searchable to help founders and marketers stay ahead of the curve. It's an autonomous SEO & AEO Growth Engineer that  Analyses, fixes, and scales your website to drive customers. _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

These prompts save you £50k+ in consulting fees. Great share by: Chris Donnelly Original post below: ⬇️ ⬇️ ⬇️ These prompts save you £50k+ in consulting fees. And you can steal them here for free: Most CEOs and founders get slop from ChatGPT. Even though it has the capacity to replace a McKinsey-level consultant. The problem isn't the tool. It's how you're using it. Here's the 6-step system I use to get insane results: 1. Give it a role.  ↳ Tell it who to be: a blunt CFO, a strategist, a retention expert. 2. Give a clear command.  ↳ Use a verb and the outcome you need: draft, critique, rank, outline. 3. Set constraints.  ↳ Word count, tone, time frame, what to avoid. 4. Provide context.  ↳ Share the background you'd give a real person.  (Audience, goal, obstacles, past attempts) 5. Specify the format.  ↳ CSV, bullet points, table. This will get you the results you want. 6. Add a human touch.  ↳ Fact-check, adjust tone, add your story. It's your name on it. Each of the prompts below uses this stacked system. Here's what they do: (See the visual for the full prompts 👇) 1. Profit Leaks Audit Acts as a CFO to identify where profit is leaking.  Focuses on the top 5 opportunities with clear financial upside. 2. Market Positioning Breakdown Acts as a strategist to analyse your positioning and messaging.  Highlights what feels generic or unclear in under 300 words. 3. Pricing Power Review Acts as a pricing consultant to improve profit without losing customers.  No new products required. 4. Leadership Alignment Check Acts as a founder coach to create a 5-question diagnostic.  Reviews decision-making, accountability, and execution. 5. Investor Readiness Report Acts as an investor reviewing your business.  Scores team, market, traction, and scalability out of 10. 6. Growth Bottleneck Review Acts as a COO to identify the 3 biggest constraints. Reviews obstacles across people, process, or product. 7. Retention Strategy Audit Suggest 3 experiments to raise LTV by 20% in 90 days.  No discounts or paid ads. 8. Founder Time Review Acts as a performance coach to review how you spend your time.  Identifies what should be delegated, automated, or dropped. You would think that tools would level the playing field. But access alone isn't enough. The difference between good and great founders... Is knowing how to extract real value from them. What's your process for prompting AI?  Drop it in the comments below. As AI develops, it's changing the way we search and purchase. We built @Searchable to help founders and marketers stay ahead of the curve. It's an autonomous SEO & AEO Growth Engineer that  Analyses, fixes, and scales your website to drive customers. _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

Everybody is asking the same question: Great share by: Chris Donnelly Original post below: ⬇️ ⬇️ ⬇️ Everybody is asking the same question: Which AI should I actually use? Here's your answer. Now, AI is evolving faster than we ever imagined. Yes, there are concerns... But the immediate implications for founders and marketers are massive. I've been testing every major LLM over the past few months. Here's how the top 6 stack up right now (though this will change !): 1. Claude 4.5 The tool I use the most now. Best for: Structured writing, legal work, complex projects. Handles huge context windows with advanced reasoning. Downside: Too cautious for creative improvisation. 2. ChatGPT-5 I use it 100 times throughout the day.  (Still not as much as Claude, but a lot) Best for: Content, research, automation. The most versatile and user-friendly AI available.  Downside: Can hallucinate on niche topics, and subscription costs add up. 3. Perplexity The single most accurate LLM available. Best for: Market research, verified data. Perfect for founders who need fast answers. Downside: Limited creative generation. 4. Grok 4 Not there yet, but it will get there. Best for: Real-time trends, social listening. Connected directly to live X data and personality-driven.  Downside: It's still maturing and a poor fit for technical tasks. 5. Gemini 2.5 The best for multimodal projects. Best for: Google Workspace integration and SEO. Seamless for teams built around Google tools. Downside: Creative output can feel robotic. 6. DeepSeek V3.1 The most efficient LLM available. Best for: Technical and engineering applications High performance at a fraction of the cost. Downside: Weak at creative or narrative tasks. Of course, different models serve different purposes. And the real skill is knowing which AI to use for each task. Which LLM do you use the most? And what for? P.S. We built @Searchable to make it as easy as possible to prepare for AI search that happens within these LLMs. It's an autonomous SEO & AEO Growth Engineer that  Analyses, fixes, and scales your website automatically to drive customers. Learn more and join the waitlist 👇 https://lnkd.in/gTfCj6Ht _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

Most people still prompt like it’s 2022. Great share by: Andrew Bolis Original post below: ⬇️ ⬇️ ⬇️ Most people still prompt like it’s 2022. Here’s how to go from basic to expert-level: [ remember to 🔖 save this post for later ] Level 1: Surface Prompts - Zero-shot prompt: Just ask without examples and hope for the best. - One-shot prompt: Provide one example to get slightly better results. - Few-shot prompt: Share multiple examples to guide the answer. - Easy tasks: Summarize, rewrite, brainstorm, explain like I'm 5. This is where most stop. It's quick, but basic. You get generic answers, not high-quality output. Level 2: Real Work Zone - Role: Tell the AI who to be and how to sound. - Tone and style: Define the voice, clarity, or formality. - Plan → Act → Summarize: Direct the process. - Define the task: Be specific about what you want. - Add constraints: Set clear limits and boundaries. - Provide context: Share background, audience & restrictions. - Temporary chats: Use ChatGPT without its memory of you. - Define output format: Bullets, tables, or any structure. - Tool policy: Turn web browsing on or off. - Share examples of quality outputs: Set the standard. - Memory management: Keep projects organized. This is where quality improves. You get targeted, practical, and useful results. Level 3: Where the Magic Happens - Pick the right model: Select the best tool for the job. - Thinking vs Fast: Decide if you want thorough or quick answers. - Reasoning instructions: Tell the AI to think step-by-step. - Chain-of-Thought: Guide logic instead of just giving commands. - Iteration loop: Review, revise, and improve responses. - Problem-solving: Focus on the 20% that gets 80% of results. - Combine role, context, examples & revision for expert-level output. The deeper you go, the better your results get. 📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

To build enterprise-scale, production-ready AI agents, we need more than just a large language model (LLM). Great post from: Brij kishore Pandey Original post below ⬇️ ⬇️ ⬇️ ⬇️ To build enterprise-scale, production-ready AI agents, we need more than just a large language model (LLM). We need a full ecosystem. That’s exactly what this AI Agent System Blueprint lays out. 🔹 1. Input/Output – Flexible User Interaction Agents today must go beyond text. They take multimodal inputs—documents, images, audio, even video—so users can interact naturally and contextually. 🔹 2. Orchestration – The Nervous System Frameworks like LangGraph, Guardrails, Google ADK sit at the orchestration layer. They handle: Context management Streaming & tracing Deployment and evaluation Guardrails for safety & compliance Without orchestration, agents remain fragile demos. With it, they become scalable and reliable. 🔹 3. Data and Tools – Context is Power Agents get smarter when connected to enterprise data: Vector & semantic DBs Internal knowledge bases APIs from Stripe, Slack, Brave, and beyond This ensures every decision is grounded in context, not hallucination. 🔹 4. Reasoning – Brains of the System Multiple model types collaborate here: LLMs (Gemini Flash, GPT-4o, DeepSeek R1) SLMs (Gemma, PiXtral 12B) for lightweight use cases LRMs (OpenAI o3, DeepSeek) for specialized reasoning Agents analyze prompts, break them down, and decide which tools or APIs to call. 🔹 5. Agent Interoperability – Teams of Agents No single agent does it all. Using protocols like MCP, multiple agents—Sales Agent, Docs Agent, Support Agent—communicate and collaborate seamlessly. This is where multi-agent ecosystems shine. Why This Blueprint Matters When you combine these layers, you get AI agents that: ✅ Adapt to any input ✅ Make reliable decisions with enterprise context ✅ Collaborate like real teams ✅ Scale safely with guardrails and orchestration This is how we move from fragile prototypes → production-ready agent ecosystems. The big question: Which layer do you see as the hardest bottleneck for enterprises—Orchestration, Reasoning, or Data & Tools? _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

There are 3 ways you can use AI in your workflows. Great post from: Andrew Bolis Original post below ⬇️ ⬇️ ⬇️ ⬇️ There are 3 ways you can use AI in your workflows. Non-Agentic (prompts), AI Agents and Agentic AI. Each works differently and has specific use cases. Here are the pros, cons and guidelines for using each. [ remember to save 🔖 this post for later ] 💻 Non-Agentic AI ↳ Simple prompt-response AI with no memory or reasoning. 🛠️ How it works: ↳ User enters one prompt, system replies in isolation ↳ Output generated instantly without refinement ↳ Interaction ends with no context retained 🟢 Pros: ↳ Fast, cheap, and widely accessible ↳ No technical setup required ↳ Ideal for one-off, simple tasks 🛑 Cons: ↳ No reasoning or memory ↳ Quality depends on prompts ↳ Weak for multi-step work 📈 How to start using: ↳ Open ChatGPT, Claude, or Gemini ↳ Write clear, specific prompts ↳ Copy, edit, and reuse output 🤖 AI Agent ↳ Single-task AI worker built to automate one job. 🛠️ How it works: ↳ User defines one clear role (e.g., update CRM) ↳ Agent pulls inputs and uses integrated tools ↳ Executes and outputs without supervision 🟢 Pros: ↳ Automates repetitive tasks ↳ Specialized and very capable  ↳ Easy to refine within roles 🛑 Cons: ↳ Limited scope, rigid use ↳ Breaks if inputs are unclear ↳ Needs coordination to work with other agents 📈 How to start using: ↳ Select one repetitive task ↳ Connect LLM via Zapier, LangChain, or API ↳ Link inputs/outputs and test 🚀 Agentic AI ↳ Self-managing AI that plans, executes, and improves. 🛠️ How it works: ↳ Goal broken into smaller sub-tasks ↳ Connects to tools, APIs, and data sources ↳ Refines results with memory and feedback 🟢 Pros: ↳ Handles complex, multi-step projects ↳ Integrates with tools and databases ↳ Produces consistent outcomes 🛑 Cons: ↳ Slower and more expensive ↳ More complex and resource-intensive ↳ Difficult to configure, needs regular maintenance 📈 How to start using: ↳ Use LangChain, CrewAI, or AutoGen ↳ Assign roles (Planner, Executor, Critic) ↳ Add memory and feedback loops In short: Non-Agentic AI = prompts AI Agents = Automate one task Agentic AI = Run complex workflows Start with prompts. Then try AI Agents or Agentic AI. Use all three to get the most out of AI. _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

The best AI tool for teachers isn’t the one with the flashiest features. It’s the one that actually fits the way they teach. Claude vs ChatGPT. Two powerful tools. Two very different approaches. But here’s the truth: → If you’re writing long-form lesson plans or analysing student submissions, Claude might feel more natural. → If you want real-time fact-checking, image generation, or lesson ideas on the fly, ChatGPT is in a league of its own. Here’s a quick breakdown for educators: ✍️ Context Window Claude: 200,000 tokens → great for detailed documents ChatGPT: 128,000 tokens → faster for short-form tasks 🌐 Internet Access Claude: No ChatGPT: Yes — great for up-to-date facts ✅ Content Style Claude: More human-like ChatGPT: More structured and direct ⚙️ Integrations Claude: Limited ChatGPT: Image generation, domain-specific tools, and third-party plugins No tool is perfect. But the right one depends on the task. 🧠 “AI won't replace teachers — but teachers who use AI will replace those who don’t.” – Adapted from Tony Robbins Image credit to: Educators Technology from LinkedIn _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

10 Crazy Use-Cases of ChatGPT Agents You Need to Know Great post from: Denis Panjuta Original post below ⬇️ ⬇️ ⬇️ ⬇️ 10 Crazy Use-Cases of ChatGPT Agents You Need to Know AI Agents are not just assistants, they are your ultimate automation partners. From customer support to project management, ChatGPT Agents can now run entire workflows across tools, data, and teams. Here are 10 creative and powerful use cases that show how far AI automation can go: 1. Automating Customer Support Workflows Agents handle FAQs, route tickets, and escalate complex issues automatically - reducing human effort and response time. 2. Personal Research Assistant Pulls insights from blogs, reports, and YouTube transcripts, summarizing key takeaways and trends in seconds. 3. Meeting Note Generator Listens to meetings, captures decisions, and creates action summaries directly in Notion or Slack. 4. Resume Screener for HR Analyzes resumes, evaluates candidates, and ranks them by skill match and cultural fit. 5. Automated Market Intelligence Monitors competitor websites, tracks sentiment, and identifies emerging trends for marketing teams. 6. Code Reviewer & Debugging Assistant Reviews pull requests, detects inefficiencies, and recommends code refactors or performance improvements. 7. Lead Qualification Agent Engages website visitors, qualifies leads, and updates CRM systems like HubSpot or Salesforce. 8. Knowledge Base Builder Turns internal documents into a smart, searchable AI assistant for faster company-wide answers. 9. AI Project Manager Tracks project deadlines, assigns tasks, and generates weekly progress reports automatically. 10. Personal Automation Hub Connects all your tools - Gmail, Notion, Trello - to streamline updates, summaries, and daily reports. ChatGPT Agents can automate nearly any workflow - combining intelligence, speed, and scalability like never before. Experiment with one use case this week. The future of automation is not coming, it is already here. _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

We’re closing out 2025 — a year that transformed AI from a playground of prompts into a world of autonomous systems. Great post from: Brij kishore Pandey Original post below ⬇️ ⬇️ ⬇️ ⬇️ We’re closing out 2025 — a year that transformed AI from a playground of prompts into a world of autonomous systems. And if this year taught us anything, it’s that the next wave isn’t about using AI tools — it’s about building intelligent ecosystems. The lines between GenAI, automation, and orchestration are blurring fast. We’re entering an era where AI doesn’t just create — it plans, acts, reasons, and collaborates. Here’s what I’m seeing across the industry 👇 💡 From prompts → protocols.  Developers are moving beyond prompt engineering to adopt frameworks like MCP and A2A — letting agents communicate, coordinate, and self-correct. 💡 From generation → orchestration.  Workflows are becoming dynamic — agents can trigger APIs, evaluate outcomes, and improve autonomously. 💡 From isolated tools → integrated stacks.  RAG, multimodal models, LLMOps, and workflow automation are merging into one AI fabric that spans context, action, and memory. 💡 From automation → autonomy.  We’re shifting from “automating tasks” to delegating goals — systems that think in loops, not lines. These 12 concepts — from Agentic AI and RAG to Autonomous Workflows and AI Integration — are not buzzwords. They’re the foundation of how AI will operate in 2026 and beyond. If you’re serious about staying ahead, start learning how these building blocks connect — because the future of AI isn’t about one model or one tool. It’s about mastering the architecture of intelligence. _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI 

How to prompt ChatGPT for PowerPoint in 2 mins: Great share by: Anisha Jain Original post below: ⬇️ ⬇️ ⬇️ How to prompt ChatGPT for PowerPoint in 2 mins: 1. Go to ChatGPT > Explore "GPTs". 2. Search for: “PPT Builder for Gamma.” 3. Type your topic. Let ChatGPT write your outline & content. Copy the answer. 4. Go to Gamma.app. Click “Create with AI.” 5. Paste ChatGPT's answer in the prompt box. 6. Pick a theme or customise your own. 7. Add images using “AI images” panel. 8. Set layout to “Card-by-Card” at the top. 9. Hit generate. Your slides are ready. You have an entire PowerPoint that you can edit, with AI images you can (also) edit, made in minutes. This is what PowerPoint was supposed to be. _____________________ DM us to be featured on our next post Master the language of AI. One prompt at a time. How to Talk to AI