Tag: AI Agents
All the articles with the tag "AI Agents".
- 30 MIN READ•Aug 19, 2026
Goal-Directed Data Quality Agents: Anomaly Quarantine on Apache Iceberg
Goal-directed data quality agents that watch Apache Iceberg tables, detect anomalies, and quarantine suspect data safely with snapshot isolation and branches.
Apache Icebergdata qualityAI agents - 31 MIN READ•Aug 19, 2026
Metric Contracts in 2026: Standardizing Business Logic Across Multi-Agent Frameworks
Metric contracts in 2026: versioned, testable definitions of business logic that let multi-agent frameworks compute revenue identically, with OSI interchange.
metric contractssemantic layerAI agents - 31 MIN READ•Aug 19, 2026
Building Stateless AI Tool Gateways with FastMCP, the 2026 MCP Spec, and Kubernetes
How to build stateless AI tool gateways with FastMCP, the 2026 MCP specification, and Kubernetes, and why statelessness finally makes MCP scale.
MCPFastMCPtool gateways - 23 MIN READ•Aug 10, 2026
The Plan and the Worker: Two Open Specifications for Agent Harnesses
Two open specifications, the Agentic Graph Specification and the Open Agent Profile, turn agent plans and agent identity into portable, reviewable files.
Agentic AIOpen SpecificationsAgent Harnesses - 21 MIN READ•Aug 4, 2026
Budgeting for Agentic Analytics When Every Question Costs Something Different
Budgeting for agentic analytics when every question costs something different: token economics, query economics, instrumentation, and the cost controls that actually return.
AI AgentsTCOCost Management - 21 MIN READ•Aug 4, 2026
The Five Layers of an Agentic Lakehouse and Where the MCP Server Sits
The five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, and agent surface, plus identity, session isolation, and budgets.
AI AgentsMCPAgentic Lakehouse - 21 MIN READ•Aug 4, 2026
Wiring Analytical Queries to Transactional APIs in Closed-Loop Decision Agents
Wiring analytical queries to transactional APIs in closed-loop decision agents: conditional writes, sagas with compensations, decision records, and blast radius controls.
AI AgentsDecision LoopsSaga Pattern - 21 MIN READ•Aug 4, 2026
Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol
Why agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Apache Ossie for portable definitions, and Apache Polaris for enforcement.
AI AgentsMCPSemantic Layer - 21 MIN READ•Aug 4, 2026
Moving From Supply Chain Dashboards to Decision Loops With the Model Context Protocol
Moving from supply chain dashboards to decision loops with MCP: sense, decide, act, and verify, with typed action tools, idempotency keys, and graduated human approval.
AI AgentsMCPSupply Chain - 21 MIN READ•Aug 4, 2026
Metric Contracts as the Interface AI Agents Actually Need
Metric contracts as the interface AI agents need: calculation, inclusion rules, grain, temporal semantics, ownership, semantic versioning, and testing metrics in CI.
AI AgentsMetric ContractsSemantic Layer - 21 MIN READ•Aug 4, 2026
Defending the Lakehouse Gateway Against Prompt Injection and Data Exfiltration
Defending the lakehouse gateway against prompt injection and data exfiltration: per-user identity, no-SQL tool surfaces, volume bounds, and detection in query behavior.
AI AgentsPrompt InjectionSecurity - 31 MIN READ•Jul 28, 2026
Guardrails for Analytics Agents That Do More Than Answer Questions
The risk isn't agents going rogue, it's agents acting correctly on bad input at machine speed. Here's how to classify actions by consequence, gate capability, and design approval steps people actually use.
AI AgentsGuardrailsData Governance