Production AI systems that survive Monday morning.
Field notes from deploying LLM agents, RAG systems, and evaluation harnesses for enterprise teams. Written for CTOs and senior engineers who are past the demo phase and shipping real systems.
Latest Articles
Five deep-dives on agent deployment, RAG systems, framework choice, and enterprise AI governance.
The 4 Mistakes That Kill 80% of Enterprise AI Projects
80% of enterprise AI projects fail by month 3 — not from model limitations, but from four specific mistakes around scoping, orchestration, evaluation, and observability. Here's the audit checklist and the fixes.
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Deploying Autonomous AI Agents in Production: A 2-Week Playbook
A day-by-day playbook for deploying production AI agents in 2 weeks: scoping, framework choice (CrewAI vs LangGraph vs AutoGen), RAG tuning, evaluation harness, and production hardening.
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How CibrAI Automated 80% of Their Security Analyst Workflow With Agentic AI
How a two-phase agentic AI build freed the CibrAI security team from tier-1 triage drudgery, sharpened their MTTR on real incidents, and gave their senior analysts their weekends back.
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CrewAI vs LangGraph vs AutoGen: Which Framework for Production AI Agents?
A production-focused comparison of CrewAI, LangGraph, and AutoGen: abstractions, strengths, weaknesses, decision matrix, and our rule of thumb after shipping on all three.
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The Enterprise AI Buyer's Checklist: 12 Questions to Ask Before Hiring an AI Consultancy
The checklist I wish every CTO and VP of Engineering had before signing an AI consulting SOW. Each question with why it matters, green-flag answer, and red-flag answer.
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These articles are written from real enterprise engagements — Fortune 500 banks, Gulf-market SaaS, US healthcare providers. Every technical claim has shipped to production. No thought-piece content. No thinly-veiled pitches.
If you’re a CTO, VP of Engineering, or senior AI engineer who’s past the “can we make a demo work” stage and into the “how do we ship this with SLAs” stage — you’re the audience.
Written by Hemang Joshi, founder of hjLabs.in — an AI/ML consultancy focused on agentic systems, RAG production, LLM fine-tuning, and MLOps for enterprise teams.
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