Works @NotionHQ, creates https://teapaw.org/t.co/MxND658CzA. Please wake me for meals.
San Francisco, CA
Joined January 2012
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The future of Notion. Of course told through the lens of art and music. The eras are becoming more compressed and higher pressure, but the journey is long and the point. Grateful everyday to be part of it, with great teammates, leaders, customers....and style.
From boomer to zoomer. Beautiful.
Yesterday I met a distributor delivering chips, jerky, and milk. He’s taking over from his stepdad after 30 years, modernizing it between shipments and meetings.
He photographed his stepdad’s paper contact sheet, fed it to @ChatGPT, and now has a CRM in @NotionHQ
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Stoked. Come join our small bus of killer marketers.
Side note... Brett built a game (digital + mailed us a version) as his interview thank you note.
Takeaway... Hire builders who have fun.
I’ve joined Notion to lead product marketing for our core and AI products.
I believe great tools unlock creative potential. Notion’s craft and vision for people and AI agents building together make this an exciting next chapter.
Time to build.
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Akshay's demo of using Notion-pilling his agents took off. Why?
1 - Portability and “genuine freedom” deeply resonate
2 - Easy implementation and automated upkeep of your agents memory is a massive unlock
3 - Raw, real demos hit
More coming soon here...
I've been personal agent-maxing lately, and loving it. The new products are proactive, useful, and so fun. They get even better when they know me well.
So I built a portable context vault in Notion and connected every agent to it. They write back new memories, skills, and preferences, then sync each morning.
Now, whenever I try a new agent, the first thing I do is connect my vault, and it instantly gets all my preferences in one shot. I can also start a project with one agent, and switch over to another seamlessly.
I shot a quick video to walk through the setup. LMK if you have any questions!
Approaching four years at Notion…and so much of what we’re experiencing right now is new.
New people joining. New roles taking shape. New teams bringing things to life that didn’t exist before, often in a part of the AI world that’s still being figured out. Meetings where it's all new people working together for the first time on new problems and possibilities. New capabilities, business models, and ways of working. It’s exciting, and it can be uncomfortable at times.
I’ve felt a lot of energy in the last few weeks, seeing all this newness take shape. New launches, programs, meeting formats, ideas, and of course many many docs. Not always easy as we find our way. But seeing that is giving me new life, too.
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"Notion as the context layer for agents" is becoming the resounding message from us + users are pushing. There’s a reason why it's working.because it actually works better than alternatives.
> one data architecture, not five siloed ones, makes for smart, faster, cheaper retrieval.
> malleable software, not hard-coded, means easier for agents to use and do more with
> world-class MCP agents actually want to use
There’s a reason why most of the teams actually building the frontier use their agents x Notion
FINALLY the people much smarter than I told the tale of how they built Data Scout, the #1 agent at Notion.
notion.com/blog/how-we-built…
Meet Data Scout. It's a $500k data scientist for every employee. One of those agents every business needs.
> Has Snowflake access (+ Notion, Slack, Github)
> Runs deep analysis on all user and account data
> Can be called by other agents for recurring reports
Data Scout is one of the most used agents at @NotionHQ. And you can build one.
How do you take thousands of inputs, distill them into a few words everyone believes in, and keep it up-to-date? Good question! There isn’t a simple answer. But here’s mine.
Before anything, you just have to live with the message every day. Obsessive about searching for a better way to say it. Constantly questioning it and putting it to the test. Markets move too fast now to write a messaging doc once a year.
At the same time you still need a core messaging platform. Draw some boundaries. Give everyone a sandbox they can creatively play within. And then build really good feedback loops around it.
How to get signal:
1. Leave the building. There is no replacement for being in live customer conversations where something is actually on the line. Pitch it. Demo it. Try to convince someone. Hear where they get excited, confused, or push back. Market research is essential too, but a live deal and selling scenario is much better.
2. Active participation. This is something I look for when hiring. Are you in it? Is your feed should be full of the market you work in. Do you go to the events? Read the newsletters. Watch the launches. Follow the tastemakers. And participate in it yourself. Social and events are incredible place to test language quickly and see what catches.
3. Analyze feedback at scale. This is where AI has completely changed the game. You can now have eyes on every sales call, support ticket, review, social post, campaign, customer conversation, and idea floating around your company. I have agents doing this constantly. One produces a weekly messaging insights report across a bunch of sources so I can see what is changing week over week. Another is literally called the BS Radar where anyone can send it copy and it compares what they’re saying against our messaging and thousands of real customer conversations, calls bullshit, and rewrites it in language customers actually use. I see the types of messaging that’s going out market. Lots of creative ways to build the bots!
4. Od-school feedback loops. Founders. Executives. Your highest-taste designers and engineers. The sales reps who are consistently winning (I have a group 10 reps who are my inner circle to test things, share what’s working and what ain’t). Find the people with unusually good instincts and listen closely to the language they’re using.
Then you still have to do the hardest part. Write and make real stuff.
Take all that signal, have a point of view, put words on paper, ship them into the real world, see what sticks, and do it again and again.
Pretty easy!
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All bots welcome.
We quietly upgraded the experience of managing what you have connected to Notion's MCP server.
Now all of your Muses, Bots, Dots, Claudes, Pis, and whatever else you're into can hang out together.
ALT Notion MCP settings showing ChatGPT, Claude, and Muse connected to Notion via the Notion MCP server.
Notion is docs, right?
Notion is 𝘳𝘦𝘢𝘭𝘭𝘺 databases. Really flexible, agent-tuned, and now very scalable DBs.
Agent scale data is infinitely larger. DBs hold the context that people and AI can actually use.
Now, there have been some recent...shakeups...with some of the database providers. So we’re hosting a virtual session next week on how to move complex databases and workflows into Notion without rebuilding everything around them.
Grab a seat here: n95wxzy.short.gy/big-databas…
Pay as little for AI as possible to get the job done. And definitely don't pay twice. That's the goal.
Yes, you just heard that right.
Got @ChatGPT Plus or Pro? That subscription now covers your AI usage in Notion.
Just connect your plan, pick a GPT model, and go.
Readers added context they thought people might want to know
This feature requires a Notion Business or Enterprise workspace plan (in addition to ChatGPT Plus/Pro).
notion.com/help/use-your-…
notion.com/pricing
You can take the boy out of Cincinnati, you can't take Cincinnati out of the boy.
Hosting two events in my hometown next week:
- One for execs on building your roadmap for AI transformation -> luma.com/notion-9htq
- One for business owners who want hands on help creating an AI system that handles admin work. luma.com/v1rzc9zu
If you know someone in Cincinnati who should be in the room, forward this or send them my way.
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@vxanand is inspiring!
This is an agent every CEO deserves and kind of care you hope for every candidate. AI helping scale human connection.
If you want something similar, DM me and we can help you build it.
I interviewed every person we hired at @Clay in my orgs until we passed 300 people.
We're scaling beyond that now, so our recruiting ops team built a system that keeps me involved in every hire.
We have a Slack channel called hiring-theses and I review it every day. Before we hire anyone, the hiring manager writes a hiring thesis about the candidate. It answers four questions:
1. Why should we hire this person?
2. What is one exceptional thing this candidate has accomplished in their career or otherwise?
3. What are the risks/concerns?
4. How will we support this person if they join?
A thesis draws on a deep dive interview into the candidate's whole story, behavioral interviews, scored feedback from every round, and thorough reference calls. The thesis also includes every piece of submitted interviewer feedback. When I review that feedback, I notice discrepancies, pieces of feedback from an interviewer that the hiring manager didn't address, or missing voices I want to hear from.
Then I approve, deny or discuss with the hiring team. I can't sit in every interview anymore, but I still read every thesis and every piece of feedback before someone joins Clay.
Hopefully this is helpful to other teams scaling past the point where a founder can meet every candidate. Let me know if you have any questions!
