Let me know if i miss something. my DM's are open for any help for FREE

Let me know if it is proper, or need any additional changes in it. your feedback would be very valuable.

And it came from my ai dev services with my friends, we delivered the service in just 5 day. This means the world to me, This day will never be forgotten. The entrepreneurship journey has officially begun.

Agents need context (e.g., instructions, external knowledge, tool feedback) to perform tasks Context engineering is "the art and science of filling the context window with just the right information at each step of an agent’s trajectory" • 4 strategies: 1. Writing context - Writing context means saving it outside the context window to help an agent perform a task. 2. Selecting context - Selecting context means pulling it into the context window to help an agent perform a task. 3. Compressing context - Compressing context involves retaining only the tokens required to perform a task. 4. Isolating context - Isolating context involves splitting it up to help an agent perform a task. | Context Engineering is effectively the #1 job of engineers building AI agents. - cognition

Cause when you do RAG the value it provides is derived by “ Time saved from finding the answer. “ Which is Hard to measure and hard to sell. We won’t see RAG Agents as a Question and Answer Systems but more of Report Generation Systems. Where as when you sell the Report, it is now a Decision- Making tool that allows you to allocate your resources. Here’s an example: We might pay an employee $100/hr and when it uses the RAG Q&A system, it might save him hours of work depend upon the task. We assume 5 hours saved = $500 saved. Now when you are a company which what’s to hire, let’s say 5 engineers ( ~ 100k+/per engineer). We got 20 candidates with their resumes, interview transcripts and all their data. Every company have their Values, SOP’s, a template of hiring process ,etc. So know the RAG Report Generation system will go through all the candidates data and pick the top 5 engineers which have Values, resumes ,etc. according to your company and generate a report. Now if that report is generated by an person, he get’s paid around 20% of Engineer’s salary, cause he maid a decision. That's like 20% of $500k+ Now that single RAG Report generation system has lot more value than Q&A system. And note that RAG Report generation system is just a For Loop (multiple questions asked to Q&A system) but with proper Template Format, SOP of Hiring process. This not only will save time but also analyzed entire business data and find a person which will the best for your company. Also I am working on a similar project but let me know if you want to build something like this, I am open for 1 last client this month. Thanks :)