runtimearchitecturevendors
Choosing a runtime for LLM agents
How to pick an agent runtime: isolation, tool sandboxing, streaming, and cost controls — without marrying a framework you cannot leave.
· 8 min read
Blog
Practical writing on runtime, health, knowledge, ROI, and speed. Written for operators, not for keyword stuffing.
How to pick an agent runtime: isolation, tool sandboxing, streaming, and cost controls — without marrying a framework you cannot leave.
· 8 min read
Pilots stall on ownership, evals, and operations — not on model quality. A checklist to move from lab theatre to a hosted agent.
· 5 min read
How six12labs keeps marketing, docs, and dashboards fast: one lightweight font, CSS-first visuals, server components, and almost no client JS.
· 6 min read
A simple analytics model for AI products — users and clicks on the site, containment and cost on the agents — without a bloated BI stack.
· 7 min read
The six12labs enablement sprint: six production systems, twelve weeks, and a team that can operate agents after we leave.
· 6 min read
Retrieval quality decays when sources move. How to design knowledge systems with freshness SLAs, citations, and honest “I don’t know” paths.
· 9 min read
What to measure on hosted agents — heartbeats, p95 latency, tool errors, and containment — so operations is not a spreadsheet of vibes.
· 7 min read
A practical hosting model for AI agents: isolation, health checks, retries, versioning, and a rollback path that product teams can actually run.
· 8 min read