AJ Asver

𝗚𝗿𝗲𝗽 𝗶𝘀 𝗲𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝗯𝗲𝘆𝗼𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗱𝘂𝗲 𝗱𝗶𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗴𝗲𝘁 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝘄𝗼𝗿𝗸 𝗱𝗼𝗻𝗲 𝘄𝗶𝘁𝗵 𝟮𝟬 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝟭𝟲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 In December, we launched Grep, an AI agent for business due diligence, as a research preview. Within two weeks, hundreds of people were using it in underwriting, maritime law, logistics, oil and gas, crypto, sales and marketing and much more. Today, we're launching the next version with 20 AI experts across 16 industries to help you carry out deep research and get serious work done. 𝗪𝗵𝘆 𝘄𝗲'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗚𝗿𝗲𝗽 Most people are still stuck with AI that doesn't help them get work done. Chatbots that aren't specialized in their domain or vertical agents built for 2024's models—rigid workflows that break easily. Meanwhile, software engineers using Claude Code or Cursor are shipping 10x faster because those tools figured out what actually works. Modern coding agents load up the right context. Then get to work on your objective. That's what Grep does too. You give it an objective—"research this company to verify it is legitimate," "analyze this market and identify potential leads," "tell me who previously owned this vessel," "evaluate this vendor's compliance risk," "carry out a background check on this employee." Grep picks the right Expert and starts investigating across 50+ specialized sources, including corporate registries, court records, financial filings, sanctions databases, shipping data, academic journals and much more. This deep research provides the context to help you complete your task. Then you dig deeper. Ask follow-ups. Probe specific angles. The expert already has all the skills and integrations to help you get work done. But work doesn't end with research. Grep helps you turn that research into docs, decks, slides, reports, and even code. The context carries through, so the AI Expert can help you execute, not just inform. We're pretty excited about Grep and would love your feedback, especially if you are an early adopter of AI in your domain but aren't satisfied with your existing workflows. If you want to try Grep, join the waitlist at grep.ai - we'll be starting with a small group of beta users and expanding as we make our AI Experts even better with user feedback. P.S. Huge thanks to @awesomic for the launch video 🎬

built a claude code plugin that auto-launches snake when a background agent starts 🐍 you play while it works. when the task finishes, it tells you and switches you back. github.com/jgaillard/clau… @AnthropicAI @alexalbert__ @bcherny

That moment when you add a new set of skills like GStack to your Claude Code setup...

By popular demand, Dispatch can now launch Claude Code sessions. Ask it to build, make, or improve something! To use it, update your Claude desktop app and make sure you have Code enabled.

I live for @greptile giving me a thumbs up on a PR

The teams winning right now are two founders doing what used to take 30. They're not hiring employee number one unless that person is undeniably better than the agents they already have.

Also: specialization is dead. No more frontend/backend. No more dedicated design or product roles. You're full-stack, working on products end to end. That's the baseline now.

The bar for hiring engineers has never been higher. Two founders with AI agents have so much leverage now that adding a person — with all the management overhead, comp, and communication cost — is a genuinely hard trade-off vs just scaling with agents.

GPTZero found 100 hallucinated citations across 51 NeurIPS papers. The top AI conference in the world is citing sources that don't exist. If the researchers building these models can't catch fake citations, what chance does everyone else have? This is why we built Grep around real sources.

Gartner: 40% of enterprise apps will run AI agents by end of 2026. Also Gartner: most companies can't control the swarm. Everyone's racing to deploy agents. Almost nobody's asking what happens when they're wrong and no one catches it. The number that matters isn't how many agents you have. It's whether you trust what they tell you.

Flibbertigibbeting...

OECD just published AI due diligence guidance. Six steps that look exactly like vendor due diligence. Compliance teams already know how to do this. The gap isn't the framework — it's AI tools that can't show where their information came from. EU AI Act deadline: August 2026.

Huge congrats to David, Hugo, and the rest of the dev/agents, now @dreamer team! Great interview with @mikeyk about Dreamer here too: youtu.be/1tK_x_vxGWs?si…

This is worth a read for anyone wondering what's coming...

WATCH: first interview with Opus 4.6

There's no way people are going to be switching between a dozen different vertical AI SaaS products to do work a year from now. When engineering costs zero, there will be insane vertical competition and expansion. The winner will be a platform to do all your serious work.

Locked out and hungry... time to eat!