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Specright Doubles Down on AI, Launching Four Major Platform Advances Across the Product Lifecycle

Specright’s latest 2026 release deepens its AI investment with a new R&D Workbench, a smarter AI Assistant, and two new specialist agents. LOS ANGELES — Specright, the leader in AI-powered Specification Data Management™ (SDM) and modern Product Lifecycle Management (PLM), today announced the general availability of R&D Workbench for Food & Beverage, AI Assistant, and […]

We haven't written up this one. Financial Post has the full story — the link below goes straight to it.

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Why Your AI Agent Fails at Observability: A Debugging Framework for Memory, Tool Calls, and RAG

Originally published on tamiz.pro . You built the agent. The prompt looks solid. The RAG pipeline is technically "working" because your vector DB returns results.

  • Agent failures often stem from opaque black box nature, not the LLM itself
  • Need semantic tracing to understand causal chain of tool calls and memory ops
  • Three pillars of observability: Memory State, Tool Execution, Retrieval Validity

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