How to build AIthat holds up in production
Practical guides on AI agents, RAG, model choice, self-hosting and evals. Written and checked by the engineers who build these systems, with tested code and dated sources.
In the guides
AI Agents
How agents work, how to orchestrate them, and where they replace manual work.
Intermediate · Updated Oct 27, 2026
What Is an Agent Harness? How to Build One for Production
An agent harness is the runtime around an AI model. It holds the loop, tools, context, memory, permissions and checks. This guide explains each part, shows tested code, and lists what to ask a vendor.
Muhammad Usman Ali
Advanced · Updated Oct 27, 2026
AI Agent Orchestration: Patterns, Cost and Tests for Multi-Agent Systems
AI agent orchestration is how several agents, tools and people are coordinated to finish one job. This guide covers supervisors, graphs, handoffs, shared state, cost, evaluation and when a single agent is the better choice, with tested code.
Muhammad Usman Siddiqui
Introductory · Updated Oct 27, 2026
AI Agents for Business: Use Cases, Costs and Build Versus Buy
A plain playbook for operations leaders. What an AI agent is, where it replaces manual work, how to pick a first use case, what drives cost, and whether to build, buy or partner.
Raza Memon, Muhammad Usman Ali
Automation
Rules, process automation and agents, and which one fits the job.
RAG and Knowledge
Getting answers from your own documents and data, with citations.
Intermediate · Updated Oct 27, 2026
RAG in 2026: Contextual Retrieval, Hybrid Search and Agentic RAG
How to build retrieval that finds the right passage. Contextual retrieval with the published numbers, hybrid search, reranking, GraphRAG, agentic RAG, evaluation, permissions and cost, with code we ran.
Muhammad Usman Ali
Intermediate · Updated Oct 27, 2026
Text to SQL: How to Chat With Your Database Safely
Text to SQL turns a plain question into a database query. This guide covers how it works, what the benchmarks say about accuracy, semantic layers, security controls, evaluation with golden queries, and a tool comparison, with tested code.
Muhammad Usman Ali
Chatbots
Building chatbots that customers and staff trust.
Models
Choosing models, thinking settings, temperature and cost.
Self-Hosting
Running models on your own software and hardware.
Evals and Quality
Testing, tracing and fact-checking AI systems.
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