Industry Use Cases

A lot of AI tooling now ships as a SaaS product with a per-seat or per-resolution price, and this cluster is for teams asking whether they could just run the underlying model themselves. Each post takes a specific category, AI code review, an SDR, a recruiting screener, a customer support agent, a meeting transcription assistant, a SOC analyst, content moderation, and walks through self-hosting an open-source equivalent on rented GPUs.

The comparisons are specific: CodeRabbit-style review against a self-hosted vLLM backend and a GitHub App webhook, Intercom Fin's per-resolution billing against Botpress or Rasa CALM on a fixed GPU cost, Otter.ai against a self-hosted transcription pipeline, with a note on the legal pressure Otter and Fireflies face over voiceprint capture. A few posts go further into vertical industry use: predictive maintenance for manufacturing, AI NPCs for game studios, and generative recommenders.

The pillar post, Self-Host an AI Code Review Agent, is the clearest example of the pattern: full deployment guide, GPU sizing, and the exact engineer count where self-hosting breaks even against the SaaS price. Read whichever post matches the tool your team currently pays for and check whether the math works at your scale.