Agentic AI, explained so you can actually build it.
PromptSri.AI covers agentic AI, prompt engineering, and the AI trends worth your attention — as written deep dives, a copyable prompt library, and video walkthroughs on the PromptSri.AI YouTube channel.
- 120+
- prompts in the library
- Weekly
- agentic AI videos
- 6+
- in-depth articles
What we do
Four capabilities, delivered as working systems your team owns afterwards.
Prompt Engineering
Layered system prompts, versioned in your repo, with rules written as tests rather than adjectives.
AI Content Systems
Five-stage pipelines where the model handles research and structure and your voice stays yours.
LLM Integration
Retrieval, tools, and agent loops wired into your product with contracts your code can rely on.
Evaluation Harnesses
A fixed eval set and CI grading, so a prompt change never ships on a vibe check again.
How we work
Audit
We read your prompts, logs, and failure reports, then name the specific failure modes costing you quality.
Baseline
Thirty real examples become an eval set with graders, so every later claim has a number behind it.
Rebuild
Prompts, retrieval, and output contracts get restructured layer by layer against that baseline.
Hand over
You keep the harness, the prompt library, and the runbook — the work does not depend on us staying.
From the blog
Field notes on prompt engineering, AI content, and running language models in production.
Chain-of-Thought Prompting Without the Hand-Waving
Reasoning steps are not magic words. Here is when step-by-step prompting actually improves output quality, and when it just burns tokens.
Read article
Writing System Prompts That Hold Up in Production
A system prompt is a contract, not a personality quiz. A layered structure that survives edge cases, model swaps, and six months of feature creep.
Read article
RAG Basics That Actually Move the Needle
Retrieval quality sets the ceiling on answer quality. Chunking, hybrid search, and the reranking step most teams skip.
Read articleSee the agents run, not just the diagrams
Every article here has a companion video: agent frameworks compared on real tasks, prompt patterns tested live, and honest takes on the AI releases that actually change how we build.
Subscribe to the channelAgentic AI teardowns
Tool use, planning loops, and multi-agent handoffs built step by step on camera.
Prompt patterns, tested
Each technique run against the same task set so you can see what the change buys.
AI trends, filtered
New models and releases reviewed for what holds up in production work.
Bring us your worst prompt.
Send the one that works four times out of five. We will tell you why, and what the fix costs, before you commit to anything.
Get in touch