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Articles by Murali Gour
The thresholds are still on the agent's side of the line. Lesson 1 moves the pre-flight script, the watcher and the rollback job out of the agent's reach, but the numbers the watcher enforces come from the deploy block the agent writes. Pre-flight checks that a business metric exists, not what its threshold is, so min_relative: 0.5 on checkout_conversion_rate, or a business metric the change cannot move, passes Stage 1.
We Built Deterministic JSON Ops for AI Agents — The Problem It Solves
Every AI agent that calls an external API hits the same wall. The response comes back as raw JSON, deeply nested, verbose, full of fields the agent doesn't need. Before the agent can reason over it or take any action, someone has to filter it, reshape it, maybe merge it with another payload. Most teams solve this one of three ways. They dump the raw JSON into the context window and let the LLM figure it out. They spin up a Python sidecar. Or they make an extra round-trip to a data service.
We built columnar data ops for AI agents — here's why and how
If you've built an AI agent that touches real enterprise data, you've probably hit this wall. Your agent pulls 2,000 records from Salesforce. Now what? The model can't reliably filter, sort, or group 2,000 rows inside its context window. You don't want to dump all of it as raw JSON. And spinning up a Python runtime just to run a pandas filter feels like overkill for what should be a simple operation. This is the problem we kept running into at DataGrout. So we built Frame. What is Frame?
Enterprise AI Platform for Agentic AI & MCP Integration
Enterprise AI Platform for Agentic AI & MCP Integration 8 followers Enterprise AI Platform for Agentic AI & MCP Integration 8 followers DataGrout is an AI agent connectivity platform that enables AI agents to connect and interact meaningfully with enterprise applications like SAP S/4HANA, Oracle Fusion Cloud, Workday ERP, NetSuite, Microsoft Dynamics 365 ERP, Salesforce CRM, HubSpot, and more. DataGrout offers a variety of MCP servers, as well as agent connectivity via A2A and ACP.
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