Karan Vaidya's banner
Karan Vaidya's profile picture

Karan Vaidya

@KaranVaidya614,979 subscribers

Building @composio | @a16z Scout | Past: @NirvanaTechInc | @rubrikInc | @Google | @iitbombay CS

Shorts

Use on WhatsApp!!

Use on WhatsApp!!

15,133 просмотров

Videos

KaranVaidya6's profile picture

The first company I ever joined was Rubrik, Arvind Jain's previous company. It's where I learned how to build systems and engineering teams. Years later, when we started Composio, Glean became one of our first customers, one of the first to believe in what we were building. So sitting down with Arvind felt like closing a loop. In this episode: •How Glean brought transformers to enterprise search before "semantic search" had a name •Glean's partner-first strategy and why they chose Composio for actions •Why Arvind has never worried about competing with OpenAI or Anthropic •GLM 5.2 as the open-source inflection: 90%+ of enterprise AI tasks, majority of inference within 12–18 months •Measuring real ROI: the US telco that cut case-resolution time by 48% •Why agents built on MCP alone act like day-one employees and how context graphs make them tenured CHAPTERS: (00:00) – Rubrik days: how Arvind and Karan met (01:05) – Glean's origin story: transformers before "generative AI" existed (03:04) – What Glean is today: superset of ChatGPT and Claude (05:39) – From embedding search to agents: was it a pivot? (11:39) – The Composio partnership and why actions are hard (14:43) – Why competition doesn't matter yet (20:11) – The open-source inflection point (GLM 5.2) (24:41) – Contracts and model risk: who absorbs the volatility? (26:57) – Enterprise ROI: cost, tokens, and what to measure (39:57) – Measuring value team by team (44:11) – Day-one employees vs. tenured agents (46:09) – Closing thoughts

Karan Vaidya

61,907 просмотров • 27 дней назад

KaranVaidya6's profile picture

We’re excited to introduce AgentAuth—the comprehensive auth solution designed for AI agents! We understand the pain every developer experiences regarding authentication—managing OAuth flows for Gmail, handling API keys for Linear, or setting up permissions across multiple services. It's complex enough with traditional apps. However, AI agents add an extra layer of complexity. Traditional auth solutions were not designed with this agent-specific requirement in mind. Think about it—say you're building an agent to pull data from Salesforce, send updates through Slack, and log issues in GitHub. Each service requires different authentication—OAuth2, API keys, you name it—and your agent needs to work seamlessly on your users' behalf. Building and managing all that is a massive headache, right? That’s precisely where AgentAuth by comes in. • It supports 250+ apps across categories such as CRMs, ticketing, productivity, etc. • Compatible with 15+ Agentic Frameworks, including , LlamaIndex 🦙, CrewAI etc • Offers self-hosting and white-labeling options. • Provides a unified dashboard to monitor user accounts. It takes care of all the complex authentication flows—OAuth, API Key, Basic, JWT, token refresh, and more—in the backend, so you can focus on building what truly matters for your users. This is ideal for AI developers building real-world AI automation involving multiple application interactions. Check out AgentAuth now -

Karan Vaidya

110,979 просмотров • 1 год назад