Topic
All digests tagged Guardrails
Suggested route
Move from earlier context through the available material to the newest signals. This route is a reading aid, not a difficulty ranking.
The reading group explores agent policy compliance, noting that LLMs struggle to follow complex SOPs. Solutions involve implementing deterministic and model-based guards outside the LLM to ensure reliable policy adherence.
Read article
Building smarter voice agents requires managing complex challenges like subsecond latency, multi-party turn-taking, and user trust. The discussion contrasts structured healthcare flows with open networking interactions.
Read article
Model selection is a 3D problem (performance, cost, speed). To accurately benchmark agents, focus on five specialized tests: Terminal-Bench, APEX Agents, AutomationBench, AA-Omniscience, and DeepSWE.
Read article
Don Syme discusses Continuous AI, extending CI/CD into subjective automation using GitHub Agentic Workflows. Key focus areas include bounding context and making the repo the unit of production.
Read article
RL worked when the world was a game, and IRL starts when the game fights back. The talk catalogues what a reward function meets on contact with a real login screen.
Read article
Building a safe AI coach for mental health requires more than just LLMs; it demands an eval-driven playbook. SonderMind details its modular, clinically grounded architecture and how they integrate human expert judgment directly into their CI pipeline.
Read article
The talk outlines how building robust AI agents requires moving beyond simple LLM calls. Key guardrails include whitelisting tools, using Knowledge Graphs over RAG, and enforcing structured citations.
Read article