AI Trends: Codex Pricing, Agent Training, and the Memory-Heavy Tooling Wave
Codex pricing shifts, agent optimization tooling, and trending repos that show where practical AI automation is heading.
#evaluation
6 transmissions tagged #evaluation
Agents Fail at the Tool Boundary
Most production agent failures come from weak tool contracts, partial side effects, and poor observability rather than from the language model alone.
Agent Memory Is a Write Path Problem
Long-lived agents fail less when memory is treated as a controlled write path with scoped retrieval and explicit evals, not as an ever-growing transcript.
AI Trends Daily: Better Builder Loops, Better Agent Bones
The practical signals from today’s AI cycle: stronger coding models, more serious memory systems, UI-aware agents, and evals moving into the build pipeline.
Uncertainty-First Tool Routing for Agentic AI
A practical pattern for routing tools, memory retrieval, and eval loops by uncertainty instead of raw confidence.
Agentic AI Orchestration Patterns That Hold Up in Production
Practical patterns for tool routing, memory, eval loops, and safety boundaries in real agent systems.