Practical AI build guides, updated for 2026.
End-to-end implementation guides for the AI systems teams are actually shipping: architecture decisions, the reference stack, evals, monitoring, rollout, the team you need, and the internal business case to get it approved.
Agentic Workflow Automation in 2026: A Practical Implementation Guide
A working blueprint for automating multi-step business workflows with AI agents: the deterministic-vs-agentic boundary, orchestration and state, human checkpoints, evals, monitoring, rollout, the team, and the business case to get it approved.
Read the guideAI Coding Agents in 2026: A Practical Implementation Guide
A working blueprint for deploying autonomous coding agents in a real engineering org: the agent loop, tool design, repo context, sandboxed execution, test-driven verification, guardrails, CI/CD, evals, and the business case.
Read the guideIntelligent Document Processing in 2026: A Practical Implementation Guide
A working blueprint for production IDP: the reference architecture, the stack decisions, classification and extraction, confidence thresholds and human-in-the-loop, the straight-through-processing rate, evals, monitoring, rollout, the team you need, and the business case to get it approved.
Read the guideHow to Build an AI Recruiting Agent in 2026: A Practical Implementation Guide
A working blueprint for an AI recruiting agent in production: sourcing, resume parsing, matching and ranking, the agent loop, ATS integration, plus the bias, fairness, and compliance controls that high-risk hiring demands.
Read the guideHow to Build a RAG System in 2026: A Practical Implementation Guide
A working blueprint for retrieval-augmented generation in production: the reference architecture, the stack decisions, evals, monitoring, rollout, the team you need, and the business case to get it approved.
Read the guideHow to Build an AI Sales Agent in 2026: A Practical Implementation Guide
A working blueprint for an AI SDR in production: the agent loop, tool use over CRM and email, grounding in product truth, the autonomy and approval design, guardrails, evals, rollout, and the business case to get it approved.
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