Vaibhavi Gangwar

Vaibhavi Gangwar

Last Week at Maxim: Week 1 of May

Last Week at Maxim: Week 1 of May

We're back with another round of powerful updates to help you build, test, and observe AI agents more effectively. Here's what we rolled out: Agent Mode in Prompt Playground You can now simulate full agentic behavior in the playground and test runs, enabling auto tool calling

Maxim x Clin

Elevating Conversational Banking: Clinc's Path to AI Confidence with Maxim

About Clinc Clinc provides a sophisticated conversational AI platform, primarily focused on the banking industry, enabling financial institutions to build advanced virtual assistants. Recognizing that state-of-the-art AI results are increasingly obtained by orchestrating multiple components into Compound AI Systems, rather than relying on single large models, Clinc is specifically designed

Scaling Enterprise Support: Atomicwork's Journey to Seamless AI quality with Maxim

Scaling Enterprise Support: Atomicwork's Journey to Seamless AI quality with Maxim

About Atomicwork Atomicwork is an agentic service management platform that helps businesses automate IT, HR, and workplace support, enabling employees to solve issues faster, work smarter, and stay productive. Built AI-native, Atomicwork combines intelligent agents, adaptive workflows, and enterprise-grade governance to deliver proactive support right in the flow of work.

Introduction to the Agent2Agent Protocol (A2A)

Introduction to the Agent2Agent Protocol (A2A)

Communication protocols play a crucial role in enabling seamless interactions between different systems. Google's recently published Agent to Agent Protocol (A2A) represents a significant advancement in this space, designed specifically to facilitate collaborative scenarios between autonomous agents. What is A2A? The protocol is an open specification that enables

Building Robust Evaluation Workflows for AI Agents

Building Robust Evaluation Workflows for AI Agents

Through the first two blogs (Part 1 and Part 2) of the AI agent evaluation series, we explored AI agents and the key performance metrics for evaluating them. Now, we focus on building end-to-end evaluation workflows. A structured AI evaluation process encompassing both pre-release and post-release phases is crucial for

Building Trustworthy AI: Thoughtful’s Journey with Maxim AI

Building Trustworthy AI: Thoughtful’s Journey with Maxim AI

About Thoughtful Thoughtful is redefining AI companionship with T, an AI-powered emotional support companion designed to help users navigate life’s challenges with clarity and confidence. Built with mental experts-informed guidance, T creates a safe, judgment-free space for users to reflect, set goals, and make progress—while feeling genuinely heard

Agent Evaluation: Metrics for Evaluating Agentic Workflows

Agent Evaluation: Metrics for Evaluating Agentic Workflows

This is Part 2 of our Agent Evaluations series. Here are Part 1 and Part 3 in this series. As AI agents start to gain traction across industries, driving innovation in tasks ranging from customer support to automation of tasks like booking requires their real-world performance evaluation to go beyond