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Most of us rely on prompting to get the work done through ChatGPT. Even I used to follow this technique until one of my friends taught me how to master Context Engineering. Here's how it works: Prompting vs Context Engineering Prompting is about a

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t

Hands down the simplest explanation of AI agents using LLMs, memory, and tools. A user sends an input → the system (agent) builds a prompt and may call tools and memory-search (RAG) → agent decides and builds an answer → the answer is returned to th

So, it was my birthday on the 10th July. Few friends came over, and generally during such meet-ups all my memories would have got lost except for a few videos and pics. It used to be polaroids, then smartphone videos gave us more context. But now,

What exactly is Context Engineering in AI? A quick 2-minute simple breakdown for you. 𝗙𝗶𝗿𝘀𝘁, 𝗵𝗼𝘄 𝗶𝘀 𝗶𝘁 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗳𝗿𝗼𝗺 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴? • 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 = crafting a single clever inp

Fine-tune vs Prompt vs Context Engineering. Simple step-by-step breakdown for each approach. 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 (𝗠𝗼𝗱𝗲𝗹-𝗟𝗲𝘃𝗲𝗹 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻) 𝗙𝗹𝗼𝘄: 1. Collect Data → Gather domain-specific info (e.g., legal docs). 2. Sta

Highlights of OPEN AI's Spring update. They are introducing GPT-4o and the highlights are ●Memory and Context The model now includes a "Memory" feature that recalls previous interactions and context, resulting in a more consistent and tailored use

10 Pro Techniques of prompt engineering for Lovable 1. Structured Prompts: Break your prompt into clear sections: Context, Task, Guidelines, and Constraints. Label each section explicitly for clarity. 2. Specificity and Detail: Clearly descr

🧠 Steal this prompt to build your own AI copilot for strategy: Feed it everything you’d give a new PM or hire: – Product strategy – Company vision – UXR insights – Customer segments – Roadmap – Postmortems – Org structure – Anything with context T

I’ve been diving deep into voice agents, and it’s been an exciting challenge. Automating conversations isn’t just about speech recognition but rather about understanding intent, handling ambiguity, and making interactions feel natural. Trust me that