Composio

The best test for whether you understand something: explain it to a 10-year-old. There’s no hiding behind jargon, no "agentic tool-calling infrastructure layer." Just: if a kid asked you what this does, could you actually answer? We tried it with our team. Here's what came out: Imagine you have a Lego set. It's fine. It works. But what if you could upgrade it, make it interactive, make it do things? That's Composio. We build the Lego blocks that give AI hands to do real work. You know how you have a different remote for your TV, your PS5, your fan? Every device, its own remote. It's annoying. What if one remote controlled everything? That's also Composio. Instead of building a separate integration for every tool your AI agent needs — Slack, Gmail, Linear, GitHub, Google Meet — Composio connects them all. Your AI can send messages, create tickets, schedule meetings, pull data, and execute tasks across your entire stack. AI without Composio can think. With Composio, it can act. We have thousands of tools. (And apparently, a Roblox integration is now on the roadmap. You're welcome, 10-year-olds.)

We're super excited to be sponsoring and being a part of Jack Le and his team's SOON hackathon retreat in Toronto soon 🙌

3 weeks → 1 week. That's how much faster General Magic shipped their workflow feature using Composio. Instead of building integrations from scratch, Composio's triggers feature let them connect the dots in days, not weeks. Faster iteration. Happier customers. More time building what matters. Full convo with Anthony Azrak is live (link in comments).

Use Google Sheets inside Langflow agents With Composio components in Langflow, you can connect Google Sheets directly into a Langflow pipeline and let agents read from and write to spreadsheets as part of their execution logic. Typical operations include: - Reading rows from spreadsheets for processing - Appending new structured data automatically - Updating existing records based on agent output - Creating rows from form submissions, emails, or API events - Using spreadsheet data as input context for LLM workflows All of this can be composed visually in a flow, alongside models, APIs, parsers, and other tools. Example: automated structured data workflow A common pattern is using Google Sheets as a live data layer for operational workflows: - Read incoming rows from a spreadsheet - Process each row with an LLM or agent logic - Classify, enrich, or transform the data - Write results back into new columns automatically This makes Google Sheets useful for workflows such as lead qualification, ticket triage, CRM enrichment, reporting pipelines, and structured data tracking. 👉 Learn more about Langflow: https://lnkd.in/dTacbYrM

General Magic's first product was an AI hallucination detection tool. It was working. There was traction, excitement, momentum. Co-founder and CEO Anthony Azrak killed it anyway. His reasoning was hallucinations were going to decrease as AI models improved. Why build a business on a problem that's going away? Most founders can't make that call, because killing something that's working feels like failure. It isn't. It's the hardest form of focus. What came after: text-message AI agents for insurance brokers. One of the least sexy markets in tech, but one of the most broken. $7.2M raised. The pivot worked because he asked the right question first: is this a market that grows or shrinks as AI gets better? Three things from this conversation that will change how you build: 1. Overbuilding is a direction problem, not a work ethic problem. His team wasn't lazy, they were shipping constantly. The problem was nobody had defined the actual bottleneck. Features became the goal instead of the symptom fix. 2. "Shipping is downstream from knowing your problem." If you don't know what you're solving, more shipping makes it worse. He stopped building for a month. That month is what made the pivot possible. 3. He doesn't read business books. Only biographies. His reasoning: for $20, you get the full life: the failures, the decisions, the actual cost of being right too early. Business books give you the conclusion. Biographies give you the process. Full conversation with Anthony Azrak on our YT— link in comments.

What's the WORST JOB you've ever had? Sarah Simionescu and Julia Fedorin hit the streets of SF and asked strangers one question: what's the worst job you've ever had? The answers? A gun pulled twice doing door-to-door sales. A pyramid scheme that hired on the spot. An influencer in LA who didn't know how to treat an employee. Ten kids, 24/7. And way too many breadsticks. Turns out a lot of people have suffered through some really bad jobs. You don't have to. Composio is hiring (link in comments)

Sarah Simionescu and Julia Fedorin were filming street interviews in SF when they met Tay. He'd spent a week building his own AI agent using OpenClaw. Named her Q. Gave her tools, memories, her own Google account. Then he ran out of API tokens and the whole system crashed. Two days of feeling "depressed," his words. Then he rebuilt. When they told him what Composio does: secure OpenClaw access, connected to over a thousand apps, no manual setup, he stopped mid-sentence... "What are the odds." The people building this stuff are already out there. They just need better infrastructure. Try OpenClaw with Composio → composio.dev/protection