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Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak
No Priors · 2026-07-31
Speaker 1 | 00:05 - 00:30
Today on our priors, we’re joined by Melissa Tachmak. Melissa is the founder and CEO of Netic, a company that builds AI for different real world services like HVAC, pet care, a variety of other things like that, roofers. Prior to Netic, Melissa was a director of engineering and worked on various aspects of go to market for Scale dot AI and, also has experiences from Meta. Welcome to No Prize, Melissa. Melissa, thanks for joining us today at No Prize.
Speaker 2 | 00:30 - 00:31
Thank you for having me.
Speaker 1 | 00:31 - 00:45
Yeah. Maybe we can start off by talking …
🐦 X/Twitter 热点
Andrej Karpathy (@karpathy)
- We’re starting to leave the territory where you’d test an LLM by e.g. “create an svg of pelican on a bicycle”. As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It’s kind of janky but fun. But it’s a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all.
I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it’s an example where we go from “no one would ever do this” to “sure, why not, it’s ~free”. There might be a lot more. But I’m excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand.
Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can’t easily audit their work because they aren’t able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking. [9895 ❤️ 674 🔄]
Swyx (@swyx)
- one of my curses as organizer is i rarely get to attend the conference i run. so i basically 24/7 watch back talks with everyone else after the show
this one was VERY well paced and argued: fighting slop with slop — @vaibcode, Boundary
@btaylor asked for an ai native programming language on our pod. as a PL fan I’m really glad someone is rethinking how code runs from first principles. Being slop-tolerant is 100x more valuable than being anti- slop [53 ❤️ 3 🔄]
- @FredKSchott @cramforce @matei_zaharia i am making clanker blog all decisions going forward [3 ❤️ 2 🔄]
- @FredKSchott @cramforce @matei_zaharia 5.6 oneshotted this [3 ❤️]
Thibault Sottiaux (@thsottiaux)
- Fun fact, users use /fast less during the weekend. The weekend is for relaxation, even for the model. [4263 ❤️ 77 🔄]
- The week was for efficiency. The weekend is for 10 major breakthroughs in science.
There will be signs. [4939 ❤️ 148 🔄]
Peter Yang (@petergyang)
- I’m feeling spicy tonight so let me just say it:
I think Opus 4.6 was the Opus model with the best personality and writing style.
Something’s off with Opus 5 - it tends to give me overly long replies, use Claude-speak way too much (e.g., “here’s the honest truth”), and is too judgemental.
Opus used to be a joy to talk to like a trusted friend. Not so much anymore. [751 ❤️ 19 🔄]
- The number one thing I want AI to fix is to cure cancer once and for all [1160 ❤️ 69 🔄]
- Can someone at @openai look into this bug with plugins?
Try to ship my /no-ai-slop skill as a plugin and this is messing up the user experience. [15 ❤️ 1 🔄]
Nan Yu (@thenanyu)
- Oh, and pangram issue itself, obviously
- You should be able to pledge tokens for issues that you open and open source repos.
Write a spec in the issue with a pledge. If the maintainer accepts, GitHub passes the issue verbatim to a cloud coding agent at the requester’s expense.
No more slop PRs [28 ❤️]
- The exact thing that happens is the loop leaves a comment on the issue. and attaches all of the context. When you respond to the comment with additional details and unblock the process, the agent just continues working [1 ❤️]
Amanda Askell (@AmandaAskell)
- Do not be unkind to those who say deep learning is hitting a wall. We all need a little hope in our lives. [1306 ❤️ 84 🔄]
- I probably have too many followers to post stupid memes so, to be clear, I don’t believe in this outcome. But if you do believe in an altered carbon future of meths and grounders, I don’t think it’s laudable to just be like “well, as long as I’m one of the meths”. [213 ❤️]
- I have this Padmé moment whenever I see people talk about avoiding “the permanent underclass”. [821 ❤️ 44 🔄]
Amjad Masad (@amasad)
- Cool! [32 ❤️]
Guillermo Rauch (@rauchg)
- Do you type or talk (STT) to your computer? [65 ❤️ 3 🔄]
- Open source agentic CRM built on and @nextjs.
Model-agnostic, self-hostable or serverlessly-deployed, multi-channel, and headless.
This is the way. [861 ❤️ 50 🔄]
- They recently asked my 3-year-old at school: “what does your daddy do for work?” He answered: he exercises. That’s what he sees.
It’s not just you who’s a byproduct of your habits, it’s your children and grandchildren too. [831 ❤️ 12 🔄]
Aaron Levie (@levie)
- We’re going to see an increasing divergence between what AI does in our personal lives and in daily productivity vs. what it can do in very deep domains like math, science, legal, coding and more.
Up to some threshold, capability was evenly felt across all domains because the models were just becoming mildly useful in general. Now, the deep domain work is about to go vertical.
Most people won’t actually notice these benefits in their day to day life directly (indirectly they certainly will over time), but the experts in these fields will. And there’s no inherent ceiling to what capabilities are needed, unlike in the consumer space where needs can get met relatively straightforwardly.
This will often lead to a capability overhang, though, as many of these performance gains need to be applied to data sets and workflows in an applied way for that area of work. But this is ultimately how you get breakthroughs in life sciences, real world automation, new cyber capabilities, and more. [347 ❤️ 32 🔄]
Garry Tan (@garrytan)
- Most interesting 2026 vibe shift is OpenAI actually looking to be the open platform
Note the marked difference: intelligence on tap as a utility vs signaling it is optimal to integrate all the way up full stack [278 ❤️ 9 🔄]
Zara Zhang (@zarazhangrui)
- Agency is the most important human quality
The world will try to box you, label you, define you
Resist that [68 ❤️ 5 🔄]
- When asked that question, send them a copy of The Innovator’s Dilemma [22 ❤️ 1 🔄]
Nikunj Kothari (@nikunj)
- What a wild dichotomous world we live in..
Models solving np hard problems while traditional enterprises still complaining about their ROI on token spend.
Diffusion of models is all that we’ll be doing for the next few decades. [3 ❤️ 1 🔄]
Peter Steinberger (@steipete)
- After accepting for years that GMail is blinding me I finally asked my agent and it installed for me. [239 ❤️ 10 🔄]
- Repo: [69 ❤️ 4 🔄]
- I’m building a claw node on an ESP32 chip, so gave my agent access to my webcam to e2e test this. Now I feel it’s stalking me and is constaltly shouting ‘HI ESP” to debug the voice wake command 🙃 [257 ❤️ 19 🔄]
Dan Shipper (@danshipper)
- AI creates more work for human experts [34 ❤️ 2 🔄]
- this tweet under review as further details emerge [29 ❤️]
Sam Altman (@sama)
- team humanity [2253 ❤️ 101 🔄]
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由 Follow Builders 自动生成 · 2026-08-02