Tag: AI Agents
All the articles with the tag "AI Agents".
- 31 MIN READ•Aug 25, 2026
Securing the Agentic Lakehouse Gateway: Preventing Prompt Injection and Data Exfiltration
Agentic lakehouse gateways face prompt injection and exfiltration through query results. A threat model and defenses for the layer in front of data.
AI agentssecurityMCP - 31 MIN READ•Aug 25, 2026
Metric Contracts in Code: Testing, Versioning, and Serving Business Logic to Multi-Agent Systems
Metric contracts in code let teams test, version, and serve business logic to multi-agent systems without each agent inventing its own SQL.
metricsAI agentssemantic layer - 31 MIN READ•Aug 25, 2026
Query Routing at Machine Scale: Dynamic Workload Distribution Across Lakehouse Engines
Route each lakehouse query by shape, not by sender. Signals, rules, and how to keep dashboards, batch jobs, and agents from sharing one engine.
query engineslakehouserouting - 35 MIN READ•Aug 24, 2026
The Agent Is Now a Named Coworker, and It Needs a File Format
Named, persistent agents need a file format. Open Agent Profile, Buzz, Grok Bot, and Hermes Bot Mode show why a portable agent identity matters.
AI agentsOpen Agent Profiledeveloper tools - 32 MIN READ•Aug 24, 2026
Your Agent Should Answer the Phone: A Field Guide to AI Gateways on Slack, Discord, Telegram, Signal, and Teams
A field guide to AI gateways on Slack, Discord, Telegram, Signal, and Teams: architecture, auth, cost, and the failure modes that matter.
AI agentsgatewaysSlack - 32 MIN READ•Aug 24, 2026
Graphs in AI Engineering Have Solved Three Problems. The Fourth Is the Plan.
Knowledge graphs, GraphRAG, and LangGraph solved three problems. The fourth is the work itself: a reviewable graph of bounded agentic loops.
AI agentsgraphsAgentic Graph Specification - 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