@satnam6502 i add italian seasoning to the panko and it’s amazing no parmesan
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Natalia Burina
7.3K posts
Natalia Burina
@Nale
Built AI at Meta (2.9B users), Salesforce, Microsoft. Now building an AI startup + teaching AI product strategy on Maven.
San Francisco Bay Area Katılım Mayıs 2008
942 Takip Edilen3.3K Takipçiler
I tried to make veal Milanese tonight for the first time, but I totally forget to mix the grated Parmesan into the panko breadcrumbs. The result was still edible, and no bad, but a miss. It is embarrassing how often I totally get a dish wrong by forgetting to add an essential ingredient. You win some, you lose some. One day I hope to replicate the heavenly pork Milanese I had at ASA in Los Gatos.
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𝗧𝗵𝗲 𝗔𝗜 𝗪𝗮𝘃𝗲: 𝗪𝗵𝗮𝘁 𝗕𝟮𝗕 𝗣𝗠𝘀 𝗔𝗿𝗲 𝗦𝗵𝗶𝗽𝗽𝗶𝗻𝗴 A few years ago enterprise buyers thought that AI may be a fad. Today we’re seeing AI mandates straight from the CEO, healthy budgets, and an insatiable demand.
Over the last month, I've interviewed PMs building AI for B2B products to understand what's shipping and where the challenges lie. The data is there with enterprises hoarding it for decades but it lives behind walls of compliance, access controls, and context that's hard to extract. For example, one company has the unstructured data of 70% of the Fortune 500 sitting in their product. Customers no longer need convincing and are showing up asking for the AI layer.
𝗪𝗵𝗮𝘁'𝘀 𝘀𝗵𝗶𝗽𝗽𝗶𝗻𝗴 there’s a wide spread in what shipping actually looks like
• On one end: a PM at a fast-moving enterprise vendor told me they rewrote their agent architecture three times in six months because the field moved underneath them.
• On the other end: PMs working in large enterprises are severely impaired by the tools they’re allowed to use. By the time they get approval from their internal team, things have changed.
𝗔 𝗳𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗰𝗮𝗺𝗲 𝘂𝗽:
→ 𝗠𝗼𝗱𝗲𝗹 𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝗶𝘀𝗺 is a feature. Enterprises don't want to bet on one lab. They want optionality. FedRAMP, government, and regulated segments are locked out of specific providers for reasons that have nothing to do with model quality.
→ 𝗧𝗿𝘂𝘀𝘁 𝗰𝗼𝗺𝗽𝗼𝘂𝗻𝗱𝘀. A 20-year SOC2 track record beats a better model from a new vendor. Incumbents get "grandfathered" through legal review while startups start the compliance gauntlet from zero.
→ 𝗧𝗵𝗲 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹 𝗳𝗶𝗴𝗵𝘁𝘀 𝘁𝗵𝗲 𝗔𝗜. Enterprise software is built in functional silos i.e. manufacturing here, inventory there, costing in another module. AI needs cross-functional correlation to truly deliver on a use cases. But the databases weren't built to support this. → 𝗡𝗼 𝘁𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆, 𝗻𝗼 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗹𝗼𝗼𝗽. Enterprise users don't click thumbs-up. Slow adoption means slow signal.
→ 𝗘𝘃𝗮𝗹𝘀 are the most underserved problem in B2B agents. Defining what "good" looks like, generating realistic test data, running evals on production traffic, tracking drift over time. Every PM I talked to flagged this as the biggest unsolved gap.
Overall, 𝗣𝗠𝘀 𝗮𝗿𝗲 𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝘀𝗵𝗶𝗽 𝗔𝗜 𝗻𝗼𝘄, even when their stack, tooling, and data model are working against them.
I'll be sharing everything I learned in a free Lightning Lesson on 𝗠𝗮𝘃𝗲𝗻 𝗼𝗻 𝗝𝘂𝗻𝗲 𝟭𝟭 𝗮𝘁 𝟭𝟮𝗽𝗺 𝗣𝗗𝗧. We'll trade notes, compare what's working in different stacks, and learn from one another. The best moments in my interviews came when PMs realized that others are facing the same challenges. I want to recreate that sense of camaraderie in the room.
If you're a B2B PM shipping (or trying to ship) AI to production, come join us. maven.com/p/e85e77/b2b-p…
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A lot of brilliant AI people back onto the market. If you've been sitting on an AI startup idea @amitpaka ☕️ (Founder/COO of @fiddler_ai , $100M raised) and I are running a 2-hour workshop on Maven.
🚀 𝗙𝗿𝗼𝗺 𝗔𝗜 𝗜𝗱𝗲𝗮 𝘁𝗼 𝗜𝗻𝘃𝗲𝘀𝘁𝗼𝗿-𝗥𝗲𝗮𝗱𝘆 𝗣𝗶𝘁𝗰𝗵
A 2-hour build workshop on Maven July 14, 10am-12pm PST
𝗬𝗼𝘂'𝗹𝗹 𝘄𝗮𝗹𝗸 𝗼𝘂𝘁 𝘄𝗶𝘁𝗵:
→ A sharpened pitch, pressure-tested live by a former VC and a founder who's raised $100M
→ A specific diagnosis of how to make your story land
→ The frameworks for the five artifacts VCs actually read, positioning thesis, long-form narrative, deck outline, one-page memo, target partner list
→ A 7-day punchlist exactly what to write, in what order, to be investor-ready
→ A take-home Claude skill to help you do the writing well, on your own time
→ Pattern-recognition from watching 14 other founders pitch and get critiqued
Between us: $100M raised at Fiddler, 200+ AI startups evaluated at Storm Ventures.
𝗘𝘃𝗲𝗿𝘆 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝗽𝗶𝘁𝗰𝗵𝗲𝘀 𝘂𝘀 𝗹𝗶𝘃𝗲 𝗳𝗼𝗿 𝟲𝟬 𝘀𝗲𝗰𝗼𝗻𝗱𝘀 𝗮𝗻𝗱 𝗴𝗲𝘁𝘀 𝗿𝗲𝗰𝗼𝗿𝗱𝗲𝗱 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸. 𝗖𝗮𝗽𝗽𝗲𝗱 𝗮𝘁 𝟭𝟱 𝘀𝗼 𝘄𝗲 𝗰𝗮𝗻 𝗮𝗰𝗰𝗼𝗺𝗺𝗼𝗱𝗮𝘁𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲.
Here's why we created this workshop: I evaluated 200+ AI startups as a VC at Storm Ventures, and the recurring pattern was that smart founders with interesting ideas consistently showed up with pitches that were hard to follow. When the story doesn't hold together, it's hard to build conviction. As a potential champion when I can't quickly understand your company, than I can't advocate for you. And I get founders asking me for this advice all the time.
Link to enroll 👇
maven.com/natalia/ai-ide…
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Natalia Burina retweetledi
@mikeschechter Wow 🥳! What it privilege it was to be there in the early days.
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In the software industry equivalent of coaching trees, these guys are root nodes
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Microsoft (and Bing) legends @BrianmacMSFT and @harryshum joined the Bing team to celebrate the 1B MAU milestone today - what a long, strange (but always exciting!) trip it’s been 😆
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An Italian town is being terrorized by peacocks. Other towns get rats. Ravenna gets peacocks. Even Italy's pests are gorgeous. Unfair.
Aleksandar Brezar@brezaleksandar
The best story you'll watch all week: apparently the Italian town of Punta Marina in Ravenna has been suffering from a peacock "invasion" and residents are not amused. The editing alone is Primetime Emmy-worthy. Sound on. You can thank me later. 😎
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I treated 21 of my friends for a slightly early 60th birthday dinner in Cambridge at Market House restaurant. Wonderful company, fantastic food and drink.
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Natalia Burina retweetledi
This is true.
The layoffs are clearly still all about over-hiring and under-managing. And blips in hiring college students are companies (mistakenly) going for quicker/easier near term fixes.
The demand for labor is going to skyrocket as companies learn what AI does. Just as the demand for labor increased as computing diffused through product and service delivery.
Anthony Pompliano 🌪@APompliano
I have changed my mind on how AI will impact jobs in America. Previously, I believed AI would replace many entry level roles typically filled by young employees. The technology would then work its way up the organization and eventually reduce the total number of jobs in a company. The data is saying something different, so when I get new information I am willing to change my mind. The number of software engineers being hired has been increasing. The number of open software engineer roles is growing. The number of new college grads who get hired has increased 5.6% over the last 12 months. The unemployment level for people aged 20-24 years old who have a college degree has fallen from nearly 9% to almost 5% as well. The Wall Street Journal recently wrote “AI created 640,000 jobs between 2023 and 2025 in the U.S., according to an analysis by LinkedIn of job posting data, including new white-collar positions such as Head of AI and AI engineer.” And I am starting to see companies throughout our portfolio aggressively hiring to keep up with the demand for their products and services. If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as possible. This is a key reason why I am changing my mind. AI appears to be a magical technology that will make companies more productive and more profitable. The net result will be more corporations, more startups, and more jobs. All three are big, positive wins for the American economy.
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2/ I've spent 15+ years building AI products:
→ Led Responsible AI at Meta (2.9B users)
→ Shipped Einstein at Salesforce
→ Had a stint as a Venture Partner at Storm Ventures, investing in AI-native B2B startups
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1/ B2B SaaS PMs — if you're at an established company trying to figure out where AI actually belongs in your product, I want to talk to you. 🧵
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I made the same mistake, regret starting out in Seattle.
Nakul Mandan@nakul
A mistake Frank Slootman still thinks about? "I waited 10 years to come to silicon valley... The place where you are is gonna dominate what opportunities you're going to have and the types of people you're gonna be associating with. That's gonna shape your career."
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Natalia Burina retweetledi
Most AI founders pitch without knowing what VCs want.
@amitpaka and I are fixing that in 1 hour — for free.
🎯 Pitch a Fundable AI Company
📅March 19 | 10AM PDT | Virtual
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Go home claude you're drunk. I just want a text answer not a fancy doc
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