#agents
Posts tagged with #agents.
Agents & MCPGrounding a support copilot in certified customer health metrics
How a support copilot answers an account-health question from certified metrics, with sample schema, model and queries that separate ticket volume from open critical escalations.
Agents & MCPSelf-hosting regulated AI agents without leaking warehouse credentials
How a healthcare compliance team gave LLM agents access to clinical treatment analytics inside a private VPC without exposing database passwords.
Governance & trustEval harness: agent vs dashboard same-number tests
Create an eval harness that asserts agent answers match dashboard numbers for the same metric requests.
Agents & MCPGrounding copilots on governed metrics
Ground copilots on certified metrics so natural-language answers inherit governance instead of table dumps.
Agents & MCPAgent wrong numbers: five failure modes
A composite war story — five failure modes that show up when agents get put on metrics before the rails are ready, and how a governed path changes the ending.
Agents & MCPDesigning MCP tools agents cannot misuse
MCP makes it easy to expose too much. datahashi treats MCP tool design as safety engineering — small verbs, strict schemas, fail-closed validation.
Agents & MCPMCP for warehouse data without raw table access
How agents can query governed metrics through MCP without seeing raw warehouse tables or writing SQL.
Governance & trustProve two consumers return the same number
Run a practical same-number test between two consumers (dashboard and agent) against one metric request.
Agents & MCPLimits, defaults, and agent-safe query shapes
Agents ask for everything by default. datahashi ships agent-safe limits so the first query an agent runs is already bounded, typed, and reviewable.
Agents & MCPWhy LLMs invent joins (and how to stop them)
Explain why models invent joins from schemas and how governed metrics remove join invention from the agent loop.
Agents & MCPWhat is a semantic layer (and why agents need one)
A semantic layer gives agents stable metric definitions, governed access, and one query shape so AI systems stop inventing their own numbers.
Strategy & comparisonsFrom BI-only semantic layer to agent-ready serving
How to move from a BI-only semantic layer to agent-ready serving without rewriting every dashboard.
Agents & MCPMulti-tool MCP chaos: one revenue definition
A composite war story about conflicting revenue answers across MCP tools and how one certified metric restored trust.
Modeling & metricsModeling revenue so agents cannot break it
How to define revenue as a certified metric with clear grain, filters, and guardrails so agents and humans get the same number.
Governance & trustAudit trails for agent answers
Implement audit trails for agent answers tied to metric requests so compliance can replay who asked what.
Agents & MCPBuild an internal data agent on certified metrics
Build an internal data agent that only answers from certified metrics via MCP, with a clear eval for same-number trust.
Agents & MCPClaude + MCP: certified metrics only
Configure Claude with MCP tools that only return certified metrics, keeping free-form SQL out of the loop.
Strategy & comparisons