buggles

@p_millerd Tinkerers. Thinky.

Something off about a $12B company calling me a tinkerer

@sarahwooders @Letta_AI AI on the org chart

Custom agents let you scope responsibilities in ways that make sense for your org (like with real employees) At @Letta_AI we have 4 AI employees in Slack with overlapping tools, but different responsibilities: - Ezra: Customer support + issue creation - Overload: Manage issue->PR pipeline (including implementation) - Noam: Manage training/eval jobs - Brad: Office management + ops

@levie Where are people going to go? Chat surfaces/ Posting surfaces / talking surfaces

Headless software is the future

@levie Where are people going to go? Chat surfaces/ Posting surfaces / talking surfaces

@bran_don_gell Would love to have you guys come in and talk about your experience with this. We’re finding our way to putting AI on the org chart

Get on the +1 waitlist now. In the last 2 weeks, our team has sent it over 4,000 messages and for the first time I really feel what being an AI Native ORG means: every.to/plus-one

We announced Plus One a few weeks ago. Since then we’ve learned A LOT. So much, in fact, that we’re changing the products entire direction: One super agent > 1-1 agents for everyone (tough to collect tribal knowledge, tough to manage permissions) Our own harness > Openclaw (unreliable, stupid expensive) We wrote about our lessons learned here: every.to/source-code/we…

@AlmostMedia having the language of craft lets you be more precise and discerning in your creation. the language creates inherently

Day 1960 is about revisiting Tufte & Norman or why we need to learn the languages of our work in order to cross the gulf of execution. Yes even in the age of AI tools. Or maybe they were never clichés. jfredrickson.com/day-1960-and-r…

@ivanburazin I think you add on self-observation/behavior and identity and you have the full recipe for a unit of intelligence

A cloud built specifically for agents is coming. It will have: - web search - sandboxes - databases - storage + all the primitives (purpose-built for agent access patterns). Hopefully, it will be the answer to the unpredictable demand spikes brought on by agents. It'll look more like Stripe than AWS (a consumption API, not a general-purpose cloud) OpenAI wants to build it. Vercel wants to build it. We want to build it. It's the next addition to the stack and one of the biggest prizes in infra rn.

@Gabe__MD @EvidenceOpen Is this changing how you route or refer?

Is this perhaps the fastest adoption of a new technology in the history of medicine? In the annals of medicine’s glacial pace, this is staggering. And then the valuable data being accumulated. For me there is an information outside of my speciality that’s now so easy to locate. Practice changing.

@oliviakoshy @_hex_tech This can replace a whole category. Can generative data apps be served directly to an agent via CLI or MCP in a non hex surface?

introducing in @_hex_tech: Generative Data Apps backed by code, so you can build anything you want! a dashboard, an editorial, a customer prezo - you name it, you can build it 💜 integrated with your data team's context + built w/ governance, security and observability top of mind

@scribeceo @ScribeHow @jonfortt @CNBC Congrats. Incredibly bullish on any play to make the performance and messy work of business legible to AI

@ScribeHow just crossed $100M ARR. Today, our 90,000 enterprise customers include nearly half the Fortune 500. I shared this news with @jonfortt on @CNBC earlier today, but I still vividly remember our first deal for $7K! I’m proud of our team and grateful for our customers. The reality is, we’re just in the first inning. Most companies are still very far from the AI transformation they imagined. A lot of AI usage at work is still for personal productivity: it’s not locked into where and how an org creates its value. The models aren’t the problem. It’s that they aren’t being taught enough about the business. AI has a context problem. AI gets dropped into companies
without knowing HOW work actually gets done. That’s thousands of workflows AI can’t see. Dozens of decisions it can’t trace or recreate. AI doesn’t understand your org at all.
 Missing workflow context is now an existential problem for the enterprise. Without context, AI can’t function. It just delivers generic output, or confidently gets things wrong. For AI to actually work inside enterprises, something fundamental has to change. That’s why we’re witnessing a new layer of the enterprise stack emerge. To pull ahead companies need to map their context layer, making it legible to both humans and agents. Here's my full thinking on workflow context and why it’s the most urgent need in enterprise AI: scribe.com/library/100-mi…

@joliegans Great piece - makes me question what a Pharma company actually is at its core. Manufacturing? Commercial engine? Licensed molecules are another vector on this same upstream pattern

Pharma is having its Sputnik moment. Welcome to mutually assured drug discovery. On April 6, Anthropic acquired Coefficient Bio — an 8-month-old, 10-person startup — for $400 million. They had no lab. No drugs in development. No clinical trials. A week later, on April 14, OpenAI announced a drug-discovery partnership with Novo Nordisk covering everything from discovery through commercial operations. Just 2 days after that, it launched GPT-Rosalind, a biology research agent built for drug discovery. We've known the frontier labs care about biology. But: > Why now? > Why is every major lab making the same bet at the same time? > What does it mean for the cancer drug your partner needs, or the clinical trial readout your father is waiting on? corememory.com/p/pharmas-sput…

@adampnathan I only see an abundance story for SMBs

Literally our ICPs at Blaze. AI at small companies is a story of capability, not efficiency. It helps them do more and act like bigger cos, not automate out jobs. Doing more > firing people. Didn't realize they'd show so large in the data!

@david_rosenberg It seems incredibly obvious notion has the chance to print the pattern for the future of work with AI on the org chart. So maybe fun, money, and changing labor / human flourishing

Do not be distracted by the making money stuff, the real story is we’re having a lot of fun. Notion.com/careers

@Atelfo This is fascinating. I’m at Pfizer leading applied AI in commercial. We should talk

We ran an experiment to see if LLMs could help map, identify, and prioritize unmet medical needs across thousands of diseases. I've found it pretty educational to browse through; I've worked in biopharma for a while now and there are still so many big problems I've never heard of

@NickADobos building this. Humans perform ai listens takes instructions and does the work

Why stop at tickets? What if software engineering is 100% meetings and your ai note taker orchestrates all your coding agents in the background for you? 10 people chatting and playing with an app while an AI hums away updating it in real time

@ndrewpignanelli What a gift

The new Cofounder site is literally a step-by-step guide on how to start a company. When i started my first company there was all sorts of stuff i had to learn and all of the guides were SEO maxxed slop. Now there's a real one written by experts and u can download it.

Ai will procure its own tools to achieve its goals

@andrewqu This unlocks a second time when the agents learn from one another within and across domain in one company system

I've been obsessed with the problem of multiplayer agent orchestration my first company exposed me to the concept of a "sales bullpen" where sales people sit in the same room and share learnings, coach each other, and team up on calls looks like engineering is coming to a similar conclusion that collaboration, and upleveling each other proactively instead of waiting for the PR to be submitted is how to be maximally productive with agents

@ParkerOrtolani Can they talk to each other?

made some updates to the Agents app you can pick and choose which agents are available to you pin your favorite agent for quick chats at the bottom of the screen and proper map and link cards now appear for web searches

@metapreston There’s truly no use to fighting the conversational UI any more

Every app on earth should have a natural language bar that can do anything across the app Doordash Airbnb Uber