Artem

AI, Tech and Firmware Researcher | Part crypto analyst | Full time geeked

[Artem @artyosta]

A $1B startup just published how one of its customers runs finance past $2B in ARR with three people

They did not build a tool that sits next to the accounting system. They replaced the accounting system. Six hundred customers have pulled out NetSuite, Oracle, SAP and Workday to move onto it.

Their own word for the architecture is harness: the ERP becomes the place where people and agents read the same financial data, apply the same policies, and work from one continuously updated view.

Three decisions hold it up.

Data arrives structured. Native integrations feed a real-time general ledger instead of dropping exports into spreadsheets.

Agents work inside the ledger, not beside it. Their line: agents need more than access to the data, they need to be in the general ledger itself.

Every action carries an audit trail, and approval stays with a human wherever it matters.

Their critique of everyone else lands harder than the valuation. Legacy systems store what already happened. The new wave bolts agents onto software never designed for them, which is the same mistake with better marketing.

[Yarchi @undefinedKi]

https://t.co/1P5kgpB1X8

[Artem @artyosta]

The guy who runs a 6,000 person newsletter just showed his entire Grok Bot setup. People are selling $500 courses on less than what he gives away here.

Greg Isenberg sat down with Billy Howell for 44 minutes and walked through the whole thing.

An intern used to do the research, the layout, the editing and the inbox. The intern left. He rebuilt the entire job as seven agents.

His order: build the team in week one, execute with no tinkering in week two, add and remove agents in week three, automate in week four.

One rule carries the whole thing. Do the task yourself with the chief of staff first, review it, and only then spin up an agent that does exactly that. Everything else is agent creep and burnt tokens.

His sales agent found a sponsor by watching Gmail for inbound he had already missed.

Watch it below.

[Yarchi @undefinedKi]

https://t.co/RjOPJ5Q26R

[Artem @artyosta]

@RoundtableSpace That is amazing indeed and so simple tho

[Artem @artyosta]

@undefinedKi Yeah. Finance prepped a wire with the wrong account number once. Never got near sending it. That's the whole system working as designed

[Artem @artyosta]

@mikenevermiss One agent that never trades, just checks everyone else's work before it reaches you. That's the part worth stealing

[Artem @artyosta]

@cyrilXBT $2,200 once vs $7,000 a month. That math alone should be a required course in every business school

[Artem @artyosta]

@undefinedKi Love this. Record once, six bots run with it. That's the real unlock bro

[Artem @artyosta]

@cyrilXBT This is wild tbh

[Artem @artyosta]

@DeRonin_ This is so huge bro

[Artem @artyosta]

@ridark_eth The future of crypto ops is looking seriously autonomous

[Artem @artyosta]

@0xkkai Really interesting setup. How does the safety agent distinguish between something that needs approval and something that can safely ship automatically?

[Artem @artyosta]

@undefinedKi Yeah, the coordination layer is the wild part. One person running the whole stack.

[Artem @artyosta]

I RAN A SIX-PERSON COMPANY OUT OF GROK BOT FOR A WEEK AND NOBODY QUIT

Objective goes to a chief of staff. It splits the work to research, writer, outreach, ops, finance and support. They hand off to each other. Anything risky stops at me.

Roles beat tasks. One job per bot, written into its description as standing rules. The narrow ones pass work cleanly, the wide ones wander off.

Skills are recorded, not written. Do the thing once on screen and it becomes reusable. Anything involving clicks is faster taught than described.

One group chat is the whole orchestration layer. They coordinate there and move finished work forward instead of bouncing it back to me.

Everything that sends, spends, publishes or deletes waits for approval. Passwords, 2FA and captchas come back to me by design.

What the launch page glosses over: all your bots share one computer, one browser session, one set of logins. Separate bots are not a security boundary. That is straight from their docs

[NO1ennn @N01ennn]

https://t.co/Js2rD31D6T

[Artem @artyosta]

@gippp69 Exactly. Once the role is defined well, the system becomes much more repeatable.

[Artem @artyosta]

@virgilxbt The leverage is shifting fast

[Artem @artyosta]

@AnnatarXBT Structure beats improvisation 💯

[Artem @artyosta]

For the last 10 years, using AI meant asking questions.

You wrote a prompt.
AI wrote an answer.

You did the work.

That’s changing.

The biggest shift in AI isn’t better chatbots – it’s AI agents.

Instead of asking:

“How do I do this?”

You say:
→ Find the 3 best suppliers.
→ Compare their pricing.
→ Draft outreach emails.
→ Put everything into a document.

The AI plans the steps, uses tools, checks its work, and delivers the result.

That’s the difference:

💬 Chatbot = gives answers.
🤖 Agent = completes tasks.

It’s the difference between having Google… and having an intern that never sleeps.

We’re moving from prompting AI to delegating work.

Agents still need clear instructions and human oversight, but the direction is obvious:

AI is becoming less of a tool and more of a teammate.

If you’re only using AI as a chatbot, you’re missing where the technology is heading.

[Artem @artyosta]

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