SCSriharsha Chintalapaniinblog.getcollate.io·5d ago · 18 min readWhy We Built a Native Agentic Harness for Data on Top of Collate's Context PlatformClaude Code and Codex are usually described as coding agents. That description is accurate, but it leaves out a large part of why they are useful. A strong model is clearly important, but the model is00
SCSriharsha Chintalapaniinblog.getcollate.io·Aug 26 · 10 min readForrester Just Defined the Context Layer. Memory Is The Hard Part.How OpenAI and Anthropic built context layers for their own data agents In June, Anthropic published how they built self-service analytics on Claude. Without the curated Skills layer they built, their00
SCSriharsha Chintalapaniinblog.getcollate.io·Aug 25 · 20 min readAnnouncing Collate 2.0: Build Trusted Context, Then Put It to WorkAsk an AI agent any business question ("which regions missed our quarterly revenue plan?"), and it will find a sales table in your data warehouse, write valid SQL, and hand you a number. However, whet10
SCSriharsha Chintalapaniinblog.getcollate.io·Aug 25 · 7 min readIntroducing AI Governance Studio: Govern the AI Your Enterprise RunsGoverning enterprise data has historically meant knowing what data you had, who owned it, and what it was allowed to do. Now, the same challenges apply to the AI reading that data. Every LLM, MCP serv00
SCSriharsha Chintalapaniinblog.getcollate.io·Aug 10 · 10 min readHow We Built Enterprise AI Memory into CollateAI systems get smarter when they can learn from corrections. When a user notices that an agent got something wrong and explains why, that correction should benefit everyone who asks a similar question00
