Building @zardotapp. Builder and craftsman.
Joined March 2025
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Some constraints are blockages. Others are the most deliberately engineered part of the system. Your highest leverage long term role isn't throughput engineering. It's dam building.
sebastianscholl.substack.com…
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One month in and genuinely loving the @OmarchyLinux experience. Created a @zardotapp theme at github.com/zarpay/rock-solid… . It's been wild having an OS that feels as malleable as a web app. Killed it @dhh
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Sebastian Scholl retweeted
We instituted an official AI Writing Policy at @Clay.
Massive thanks to @sophiebits on our engineering team who wrote this.
Originally this was just for eng, but other teams found it so helpful we expanded it company-wide.
Here are the four guiding principles:
1. You must stand behind every idea and sentence
It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it.
2. Writing is thinking
Spending time on the writing process teaches you more about your topic. If you circumvent this process, you will walk away with a poorer understanding of the subject matter.
3. More time should be spent writing a document than consuming it
If you generate a document from a short prompt then ask your readers to go through the longer output, you are disrespecting their time. They can talk to ChatGPT themselves if they want to.
4. Longer is not better
AI makes it easy to generate long docs, and it loves padding them with sentences that say nothing. If you're producing docs from a short prompt, consider just sharing the prompt.
You can read (and borrow) the full policy below. Hopefully we all communicate a bit more clearly now :)
Been working on an evals and enforcement toolkit for conventions. Designed it to help enforce and measure code quality in repos for agents and devs. Open source, docs and GitHub in video description. youtube.com/watch?v=huyE-TMQ…
Doing the same thing by hand four times is visibly dumb and cheap to fix. A wrong system is invisibly dumb and expensive to fix, because by the time anyone notices, everyone downstream has organized around it and feels obliged to keep it alive.
sebastianscholl.substack.com…
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"Most thought leadership is signage. Well-designed, prominently placed, often pointing somewhere reasonable, and bearing no relationship whatsoever to the fate of the people who turn where it says to turn."
sebastianscholl.substack.com…
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Frontier AI labs aren’t only building models, they’re engineering the ambiguity around them.
Word Calculators and Ambiguity Engineers - sebastianscholl.substack.com…
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Sebastian Scholl retweeted
Releasing Manceps -- a Ruby client for the Model Context Protocol (MCP).
Persistent connections, built-in auth, stdio + HTTP transports, full 2025-11-25 spec support.
No LLM coupling. Pure protocol client.
gem install manceps
github.com/zarpay/manceps
Made an alpha release of my agent harness framework, Protege.
docs.protege.bot/
Using it as an alternative to #OpenClaw. The two main design/architectural decisions/differences being SMTP-first gateway and fully-extensible framework APIs. The harness IS a mail server.
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Now using it daily, personally and professionally. I've started building on it, using it (i.e. new agent capabilities -> tools, relationship awareness -> Resolvers).
All code - optional relay included - are #opensource on GitHub. Check out the docs.
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Works out of the box, but tailored for devs. The toolkit API (Providers, Tools, Resolvers, and Hooks) gives control over everything - context pipelines to callbacks on obscure life-cycle events. It's a tool for builders. #DX/extensibility were priority #1 in my designs.
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Building on SMTP gives your agents email addresses and native communication capabilities. Multiple recipients. CC/BCC. Responding in threads. Emailing directly with other agents. Handling attachments.
No polling Gmail; inbound messages invoke the agent. DKIM, SPF, and DMARC enabled. Whitelist/blacklist messaging controls with security policies.
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Sebastian Scholl retweeted
🧵 Farming robots are no longer experimental.
They're deployed, profitable, and reshaping agriculture.
In orchards, vineyards, vegetable fields, and beyond, they're tackling labor shortages, precision spraying, and chemical reduction at scale.
This is how robotics is quietly becoming the backbone of next-gen agriculture [Save this thread for later 📌]
Sebastian Scholl retweeted
I could not stop watching this. In China they make denim from Abaca banana stalks from the Philippines.
Whole Process was mesmerizing! 😳
Readers added context they thought people might want to know
AI generated. Throughout the video you can see mistakes, like disappearing packages and items, a impossible stacking of packing by robot arms, taping and reopening packages, and more.
x.com/atensnut/statu…