Chasing Driver Truth and VRAM Ghosts
Glad-Labs' Poindexter project shipped fixes on 2026-08-11 to stop silent animation failures by reading VRAM directly from the wan server's /health endpoint via torch.cuda.mem_get_info(0), replacing la…
Glad-Labs' Poindexter project shipped fixes on 2026-08-11 to stop silent animation failures by reading VRAM directly from the wan server's /health endpoint via torch.cuda.mem_get_info(0), replacing la…
Glad-Labs' Poindexter project fixed GPU contention and silent pipeline failures on 2026-08-09, wrapping image generation in a GPU lock and requiring shot lists for media dispatch to recover 27 lost pi…
The prompt-engineering era is over, and in 2026, agentic engineering requires building scaffolding around models rather than tuning prompts, according to a developer report from Poindexter's team. The…
A dev.to tap pulled in a headline made entirely of dots, and the LLM final-scorer ranked it first with 65 points against the mid-40s of real headlines, promoting it through the pipeline until a QA gat…
First-party knowledge—support tickets, error logs, internal docs, and code comments—is a more valuable asset for AI products than any purchased or scraped dataset, according to a technical analysis ci…
Alphabet, Microsoft, Amazon, Meta, and Oracle are carrying an estimated $1.65 trillion in hidden debt from AI infrastructure spending, according to a Nikkei Asia analysis cited by Futurism. The off-ba…
An agent harness — the operational layer that connects an LLM to tools, memory, and guardrails — is the critical but often overlooked component that determines whether production agents succeed or fai…
Builders should resist the trend toward curation over creation, argues a developer reflecting on building a RAG pipeline with Ollama and pgvector. While curation is valuable for content marketers faci…
A solo developer has published 100 posts using a local-LLM-only AI content pipeline that is human-reviewed and free to read, covering AI, hardware, and gaming. The project emerged from fixing content …
A team fixing two content tasks that returned off-topic garbage discovered their retrieval-augmented generation (RAG) system was reinforcing its own mistakes. The root cause was an inconsistently appl…
Poindexter is replacing its Grafana-in-an-iframe dashboard with a native console UI to integrate observability, alerting, and operational tools into a single coherent system. The team committed to the…
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,…
Speculative decoding accelerates local LLM inference by pairing a small draft model that proposes multiple tokens with a large target model that verifies them in parallel, achieving speedups without a…
Glad-Labs retired its Gen-1 TopicDiscovery orchestrator, cutting nearly 900 lines of legacy code and collapsing logic into a single topic path. The team also fixed a GPU lock deadlock that caused invi…
Poindexter developers fixed a memory leak in cadvisor that caused an OOM cascade in the WSL2 VM, and patched a content generation bug where LLMs were pulling audit logs and session transcripts as cont…
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…
Developers integrating Qwen3-VL vision-language models into production pipelines face three silent failures: the thinking budget trap where the model consumes output tokens on internal reasoning, leav…
A new AI content pipeline called Poindexter uses agent infrastructure, RAG pipelines, and open-source LLMs to automate technical publishing, reducing the human loop and enabling solo developers to pro…