AI Agents in Finance Live or Die by Runtime Receipts | Focused Labs
The board wants to see the bottom line of the RFP. Show the receipt. Financial services boards want to know what they get from the spend on AI in Lang…
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The board wants to see the bottom line of the RFP. Show the receipt. Financial services boards want to know what they get from the spend on AI in Lang…
TL;DR: Autonomous Agents frequently get trapped in execution loops, burning through API tokens and compute. Prompt engineering can't guarantee executi…
Note: The Hermes repo contains no explicit statement saying "we don't use LangChain because…". This article works on two levels: the industry-wide com…
A few months back, my friend Marcus was applying for a senior backend role at a fintech company. He had five years of solid experience — distributed s…
Interrupt felt different this year. Less model worship. More runtime. Instead of another round of model worship, the more useful conversations at the …
The Silent Failure of Pipeline RAG Every article in this series has been trying to answer the same question: how do we make retrieval better? Better c…
I’ve been working on cerone-openclaw-plugin, a native OpenClaw plugin that checks tool calls with Cerone before execution. (Cerone is an AI agent runt…
AI agents are rapidly moving from experimental prototypes to production infrastructure. Developers are no longer just building chatbots. They’re build…
If you’ve ever watched a Claude 3.7 API call sit in a pending state for 2.1 seconds while your LangChain pipeline serializes prompts, parses outputs, …
A blog post on LangChain's site about how Madrigal Pharmaceuticals built their multi-agent AI platform caught my attention this week. Not because of t…