How to Buy an AI Voice Agent: The Complete Procurement Guide for 2026
A step-by-step guide to procuring an AI voice agent: requirements gathering, vendor evaluation, pilot design, and contract negotiation.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
A step-by-step guide to procuring an AI voice agent: requirements gathering, vendor evaluation, pilot design, and contract negotiation.
A 10-step scoring framework for evaluating AI voice agent vendors — with a downloadable rubric and worked example.
Comparing self-hosted and SaaS AI voice agent deployments — security, cost, latency, and compliance tradeoffs.
A practical engineering deep dive into Claude Opus 4.7 prompt caching, covering architecture, tradeoffs, and what production teams need to know about cost optimization.
A practical engineering deep dive into Claude skill versioning, covering architecture, tradeoffs, and what production teams need to know about enterprise tooling.
LangChain v1 stabilizes the core abstractions and drops legacy chains. The exact migration path from 0.3 to 1.0 with code diffs and the gotchas to avoid.
LangGraph 1.0 freezes its public API and locks in persistent state, subgraphs, and time-travel debug. What that means for production agent teams.
The Model Context Protocol froze its 1.0 spec in April 2026. The breaking changes from 0.6, the new auth flow, and the migration path that actually works in practice.
Side-by-side production comparison of OpenAI AgentKit 1.0 and LangGraph — DX, pricing, observability, and which to pick for which workload.