Glad Labs decided not to switch its self-hosted inference stack from Ollama to vLLM after reviewing its own call logs, which showed only one to three concurrent calls at most against roughly 50 calls …
Reading time has become a ranking signal in content systems, according to Glad Labs, which found that backfilling word count and reading time was necessary for downstream SEO distribution logic. The c…
Glad Labs released Poindexster, an open-source AI content pipeline at v0.116.0 on GitHub, designed to automate research, writing, review, and publishing for one-person content operations. The pipeline…
Glad Labs shipped a series of fixes on 2026-07-16, including renaming a misleading function that caused cloud billing leaks, implementing a fallback ladder for video renders to match planned lengths, …
Glad Labs, operator of the autonomous content pipeline Poindexter, argues that first-party data from sources like Google Search Console is replacing third-party keyword tools as the foundation of cont…
AI copilots and agentic pipelines risk producing polished but incorrect outputs as repeated success trains teams to disengage from critical review, a phenomenon known as the autopilot trap. Glad Labs,…
Glad Labs fixed a GPU pinning issue where LiteLLM 1.89.2's global api_base override prevented per-model routing, causing vision tasks to cold-load onto the wrong GPU. The team also hardened content gu…
Glad Labs has developed an AI-operated content pipeline that treats content generation as an engineering problem, moving beyond simple prompting to autonomous agents with human oversight. The system u…
Poindexter shipped several improvements on June 24, 2026, including wrapping DeployCheckoutSync in a VBS helper to suppress flashing terminal windows on Windows. The team folded embedding hygiene jobs…