Prompt systems
Pattern libraries, system prompts, and modular prompt chains that are easier to maintain, test, and improve.
Hey. I’m Sunil,
I help organizations turn generative AI from an interesting experiment into something dependable, useful, and ready for production.

Pattern libraries, system prompts, and modular prompt chains that are easier to maintain, test, and improve.
Task decomposition, tool-use orchestration, and guardrails so multi-step work completes more reliably.
Quality gates, golden sets, rubric scoring, and audit trails before systems fail in production.
Playbooks, roles, review loops, and working methods that turn isolated experiments into repeatable capability.
Blended strategy and implementation: prompt systems, agents, evaluation, and the operating model that makes generative AI durable in production.
A repeatable path from experiment to shipped capability — the same operating model used across education and delivery.
01 · Discover & research
Clarify the use case, the operating constraints, and what “good” looks like before anyone writes a prompt.
02 · Design systems & evals
Build the prompt architecture, retrieval, guardrails, and evaluation gates that keep quality measurable.
03 · Ship & enable
Deliver into production, then leave the team with playbooks, review loops, and a durable operating model.

I’m Sunil Ramlochan, founder of PromptEngineering.org and AxysAnalytics.com. I help organizations turn generative AI from an interesting experiment into something dependable, useful, and ready for production.
My work focuses on prompt systems, LLM agents, retrieval workflows, governance, and evaluation. In practical terms, that means designing repeatable ways for teams to deploy AI with better quality control, clearer guardrails, and stronger operational outcomes.
If you’re building with AI and need more than hype, that’s the work I do.
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For consulting, speaking, or PromptEngineering.org work, start on LinkedIn. Email is available on request.