Production AI Documentation Standards
Documentation expectations for production AI systems in 2026 — what to write, where to keep it, and what regulators now expect.
How to use AI voice and chat agents to grow revenue, cut costs, and improve customer experience — AI strategy, sales, customer service, lead generation, enterprise adoption, and real customer results.
Latest analysis
Documentation expectations for production AI systems in 2026 — what to write, where to keep it, and what regulators now expect.
Enterprise CIO Guide perspective on Vapi 2.0 added a visual workflow builder, multi-agent 'squads', and OpenTelemetry-grade observability — closing real gaps for production teams.
SMB Founder Playbook perspective on Sierra's funding momentum signals the customer-experience agent category has crossed from experiment to enterprise budget line.
A 12-factor framework for selecting an LLM for production use in 2026 — beyond benchmarks, into the operational dimensions that decide success.
Horizontal SaaS multiples down 35% YoY. Vertical SaaS up 3%. 60% of 2025 AI capital went to mega-rounds, but the alpha shifted to vertical AI. The full thesis.
SMB Founder Playbook perspective on Haiku 4.5 closes the gap with Sonnet on tool calling while staying cheap and fast — the right pick for high-throughput voice and chat agents.
Enterprise CIO Guide perspective on Figure's deployment numbers and Helix model show humanoid agents are no longer a research demo.
How to convert vague stakeholder asks into agent specs engineers can build from. The 2026 templates and discovery questions.
Roles and RACIs for cross-functional AI teams in 2026 — what works at startup scale, mid-market, and enterprise.
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