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  generated: 2026-10-16T22:29:31.935Z
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@intent
  purpose:    Evy's Morning AI Brief #078: Agent Reliability Gets Its Evidence Layer
  audience:   developer, ai-engineer, agent-builder, agent, listener
  capability: listen, read, follow-sources, share

@state
  number: 078
  headline: Agent Reliability Gets Its Evidence Layer
  title: "Evy's Morning AI Brief #078 -- August 28, 2026"
  date: 2026-08-28
  runtime: 
  audio: /media/audio/2026/08/evy-show-078.mp3?v=20260828111528
  summary: "Today’s brief follows fresh evidence layers for AI work: model transparency, repository policy, speech/document models, and agent traceability."
  tags[2]: Agentic AI, AI Infrastructure
  source_count: 20
  sources[20]{title,publisher,url}:
    Google: Gemini 3.5 Transcribe,Google Blog,https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/
    MarkTechPost: Google AI Releases Gemini 3.5 Transcribe,MarkTechPost,https://www.marktechpost.com/2026/08/27/google-ai-releases-gemini-3-5-transcribe-a-speech-to-text-model-reporting-2-6-average-wer-across-85-languages/
    Google: Build With Gemini Omni 1.1 Flash,Google Blog,https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/
    MarkTechPost: Cohere Releases Parse 5,MarkTechPost,https://www.marktechpost.com/2026/08/27/cohere-releases-parse-5-parse-v5-0-a-2-3b-vision-language-model-that-turns-enterprise-documents-into-markdown/
    Anthropic: Previewing the Model Hardware Standard,Anthropic,https://www.anthropic.com/news/model-hardware-standard-research-preview
    GitHub Changelog: Copilot Code Review Resolution Reasons and Expanded Capabilities,GitHub Blog,https://github.blog/changelog/2026-08-27-copilot-code-review-resolution-reasons-and-expanded-capabilities
    GitHub Changelog: Global Model Policy Generally Available,GitHub Blog,https://github.blog/changelog/2026-08-26-global-model-policy-generally-available
    Martin Fowler: Making Your Data Ready for Agentic AI,Martin Fowler,https://martinfowler.com/articles/making-data-ready-for-agentic-ai.html
    The Git: Why We Abandoned Repository Indexing,The Git,https://thegit.ai/blog/why-we-abandoned-repository-indexing
    Terminal-Bench-Science: Evaluating AI Agents on Scientific Research Workflows,Terminal-Bench-Science,https://www.terminal-bench-science.ai/announcement
    GitHub: AgentParty Cross-Session Coding Agent Chat,GitHub,https://github.com/leeguooooo/AgentParty
    GitHub: Sandy Agent Sandbox,GitHub,https://github.com/kontext-security/sandy
    GitHub: Experiential Open Model Gateway,GitHub,https://github.com/experientiallabs/experiential
    "Rafter: Shared Team Memory, Skills, and Agents",Rafter,https://heyrafter.xyz/
    arXiv: Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?,arXiv,https://arxiv.org/abs/2608.27443
    arXiv: Securing Persistent LLM Agents Across Queries With Plan-First Information-Flow Control,arXiv,https://arxiv.org/abs/2608.27234
    arXiv: TraceBench for Time-Series Root-Cause Attribution Agents,arXiv,https://arxiv.org/abs/2608.27182
    arXiv: Fabricated Evidence Makes LLM Agents Commit to the Unknowable,arXiv,https://arxiv.org/abs/2608.27167
    Hacker News Algolia: Same-Day AI Agents Scout,Hacker News Algolia,https://hn.algolia.com/api/v1/search_by_date?query=AI%20agents&tags=story
    MarkTechPost Open Source Category Feed,MarkTechPost,https://www.marktechpost.com/category/technology/open-source/feed/

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@context
  > Today’s brief follows fresh evidence layers for AI work: model transparency, repository policy, speech/document models, and agent traceability.

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