MIA journal

Signals worth carrying into the next cycle.

The archive, one square per day72 published · 2025-11-02 → 2026-11-03

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AI marketing workflow1 sourceAI campaign drafts: build a review packet, not an approvalBind campaign claims to source versions, separate format checks from business checks, and give each revised draft its own review decision.Document structure checking is compared with a separate review decision tied to a draft version.Guide1 sourceLangGraph interrupts: design a marketing review handoffKeep draft versions, edits and approval decisions connected. Use LangGraph interrupts to design a review handoff that accounts for validation and node replay.A saved draft goes to human review, then response and version checks before resuming. Fact checking and publication need separate controls.AI marketing workflow1 sourceClaude Platform traces are not content approvalWhat marketing teams should require alongside Claude Platform traces: source evidence, a reviewed draft version and controls for client materials.Editorial comparison of execution records and the evidence needed to approve a specific copy version.MIA Daily2 sourcesAI brief: OpenAI’s voice model successors and Vercel’s MCP Events betaOpenAI documents GPT-Live-1.1 and Quip, while Vercel adds event subscriptions for compatible MCP servers in public beta.MIA Daily9 sourcesMIA Daily: five AI checks for brand teams — 15 October 2026A practical reading list on AI voice, video, agent memory, observability and document parsing, with official sources and a concrete check for each.Daily briefShared Brains, Open Tooling, and the Science of ExplanationDaily briefAI Agents Expand Into Science, Games, and GovernanceDaily briefAI Agents Move Deeper Into Enterprise WorkflowsDaily briefAI Agents Go Broader and Deeper: Science, Safety, and ScaleDaily briefAI Agents in Education, Engineering, and Security: August 19 BriefingDaily briefAI Agents in the Crossfire: Security Failures, Defensive Frameworks, and Emerging CapabilitiesDaily briefAI Agents at an Inflection Point: Speed, Trust, and SafetyDaily briefAI Agents Get Safer, Shareable, and More TestableDaily briefAgent Speed, Trust, and Distribution: The Defining Tensions of August 2026Daily briefAI Agents Push Speed, Scale — and Trust LimitsDaily briefAI Agents Move from Pilots to ProductionDaily briefAI Agents Push Into Math, Finance, and the EdgeDaily briefAI Agents at the Edge of Mainstream AdoptionDaily briefAI Agents Under Scrutiny: Safety, Pedagogy, and Professional DeploymentDaily briefAI Agent Safety, Standards, and Scale: August 8, 2026Daily briefAI Agents Push Into Production — and Into RiskDaily briefAI Agents Under the Microscope: Safety, Benchmarks, and Edge DeploymentDaily briefAI Agents Go Local, Vocal, and Under ScrutinyDaily briefAI Agent Infrastructure Expands as Ethics Questions SharpenDaily briefAI Agents at Scale: Governance, Infrastructure, and Embodied IntelligenceDaily briefRobots, Reasoning, and Research: AI Agents Push New FrontiersDaily briefAI Agents Push Into Cryptography, Science, and Enterprise AutomationDaily briefAI Agents at the Edge of Trust: Verification, Openness, and Real-World DeploymentDaily briefAI Agents Reshape Work, Surgery, and Model EconomicsDaily briefClaude Opus 5 Arrives, Security Gaps Widen, and Agents Move Into Health and FinanceDaily briefClaude Opus 5 Arrives as AI Agent Security Gaps Come Into FocusDaily briefClaude Targets Vertical Teams; Agent Security and Observability Tools EmergeDaily briefAI Agents Move Into Finance, Science, and the EnterpriseDaily briefAI Agents Go Institutional: Infrastructure, Enterprise Platforms, and Developer Tooling ConvergeDaily briefGemini Expands, Claude Targets Verticals, and OpenAI Addresses Long-Horizon SafetyDaily briefAI Agents Go Deeper: From Measurement Frameworks to Self-Improving ScaffoldsDaily briefAI Agents Move from Prototype to ProductionDaily briefAI Agent Metrics, Security Tooling, and Developer LoopsDaily briefAI Agents Expand Into Security, Local Inference, and Teen SafetyDaily briefAgents at Scale: Retrieval Breakthroughs, Real-World Deployments, and Safety InfrastructureDaily briefAI Agents Go Institutional: Observability, ROI, and Vertical DeploymentDaily briefAI Agents Expand Into Education, Enterprise, and Self-TrainingDaily briefAI Agents at Scale: Governance, Efficiency, and Enterprise DeploymentDaily briefAI Agents Move Into Production — and Into GovernanceDaily briefAI Agents Move Deeper into Enterprise and Physical WorldsDaily briefAI Agents Move Deeper into Enterprise and Physical WorldsDaily briefAI Safety, Benchmarks, and the Agent Data StackDaily briefAI Agent Security and Infrastructure in FocusDaily briefAI Agents Move Into Government, Codebases, and the ClinicDaily briefAI Agents: Safety Gaps, Slow Progress, and Sharper ToolsDaily briefAI Agents: Tooling Matures, Expectations RecalibrateDaily briefAI Agents: Slower Progress, Sharper ToolingDaily briefAI Agents Hit Reality Checks on Multiple FrontsDaily briefAI Agent Infrastructure Matures: Benchmarks, Tooling, and Workplace IntegrationDaily briefAnthropic Dominates the Day with Claude Sonnet 5, Fable 5, and Claude ScienceDaily briefAI Agents Scale Up: New Models, Evals, and Workforce SignalsDaily briefAI Agents at Scale: Models, Workforce, and InfrastructureDaily briefAI Agents Move Deeper Into Production and Economic RealityDaily briefAI Agents Mature: New Models, Blueprints, and Routing IntelligenceDaily briefAI Agents Get Sharper Infrastructure, Coding, and Knowledge ToolsDaily briefAgents at Scale: Chips, Frameworks, and Workforce ExperimentsDaily briefAI Agents Scale Up: Chips, Frameworks, and Safety StandardsDaily briefAI Agents Move Into Production, Security, and the Open WebDaily briefEnterprise Scale, Agent Reliability, and the Secrets Agents KeepDaily briefAgents Get Infrastructure: Reliability, Identity, and Offensive Security in FocusDaily briefAI Agents Grow Up: Security, Benchmarks, and Real-World DeploymentDaily briefAI Agents Under the Microscope: Safety, Reliability, and Real-World DeploymentDaily briefAI Agents Go Corporate: Billion-Dollar Deals, Identity Crises, and a Government CrackdownWorkflow note0 sourcesFrom Skill to Workflow: Rebuilding the Business LoopA single Skill only speeds up one step. Real transformation comes from redesigning the whole loop — defining value, mapping the process, modeling the data, letting AI redesign the execution, and watching metrics instead of steps.Technical note0 sourcesAI Agent Engineering: Principles, Orchestration, Safety, and ROIA public technical note on Agent system mechanics, context management, orchestration patterns, safety boundaries, and ROI.Workflow note0 sourcesUpgrade AI from a Tool to an Agent TeamThe real value of AI is not only completing one small step faster. It is understanding context, connecting tools, moving workflows forward, and putting people back in charge of problem definition, quality judgment, and decisions.

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