MORO

Bought for $100, sold for $90. Profit.

[MORO @moro_7697]

95% OF PEOPLE WILL SET UP JEV WRONG AND NEVER TOUCH ITS REAL POWER — THIS 17-MINUTE TUTORIAL SHOWS THE CLEANEST CONFIGURATION FOR GETTING DECISIONS UP TO 200× FASTER AND 400× CHEAPER.

Jev isn’t another ChatGPT or Claude competitor. It’s the rapid decision-making layer your AI agents use before calling an expensive reasoning model.

This tutorial starts from zero: how to access Jev, configure it inside TypeSafe, run your first request and correctly use its three core primitives — choice, score and boolean.

Then it moves into practical workflows. You’ll see how Jev can classify support tickets, moderate content, route tasks, score incoming data and return confidence levels in milliseconds instead of generating unnecessary paragraphs.

The correct architecture is simple:

Jev handles thousands of fast, repeatable decisions.
Claude or ChatGPT handles the difficult reasoning.
A human only reviews the uncertain cases.
That separation can make an agent dramatically faster, cheaper and easier to scale. Instead of burning expensive model calls on every small action, the system only pays for deep reasoning when deep reasoning is actually required.
This is the difference between an impressive AI demo and an automation that can process real business volume without destroying your API budget.

Save this video. Most people will spend weeks building Jev incorrectly before discovering the exact structure explained here.

[MORO @moro_7697]

@supremaxbt The real jump seems to be when agents stop being demos and start surviving failure on their own.

[MORO @moro_7697]

@Atenov_D The interesting part isn’t the AI trading. It’s how much of the edge is just speed, testing, and strict risk limits.

[MORO @moro_7697]

@SolSt1ne Turns out “smart money” is sometimes just one guy with nine wallets and a very convincing bubble map.

[MORO @moro_7697]

@impreiaxbt The real flex isn’t running 20 agents. It’s waking up to shipped code instead of 20 new problems.

[MORO @moro_7697]

@Bober_smart So it didn’t become a genius, it just stopped rage-quitting after the first failed test. Honestly, that might be the more useful upgrade.

[MORO @moro_7697]

@BlueDeltaHQ So the internet spent years teaching everyone to write numbered lists, only for the data to show they’re the weakest format. Brutal.

[MORO @moro_7697]

@0xvexran The new senior engineer isn’t the person writing the most code. It’s the one who can manage 20 agents without turning the repo into a crime scene.

[MORO @moro_7697]

@Lummox_eth The best part is seeing the actual stack behind Claude Code instead of another abstract “how to build agents” tutorial.

[MORO @moro_7697]

@makiriss Watching people go from zero to a real product in one sitting is way more useful than another 20-hour theory course.

[MORO @moro_7697]

@tigerfl0w The word “AGI” gets all the attention, but 24 hours of reliable autonomous work is probably the bigger deal.

[MORO @moro_7697]

@Dain0x The “what would prove us wrong?” step is probably the most important part of the whole pipeline.

[MORO @moro_7697]

@ultimaxbt Crazy how some of the best AI education is free while people are still paying five figures for worse.

[MORO @moro_7697]

@L1vsun The wildest part isn’t that AI may have touched a Millennium Problem. It’s that the internet gave it the same attention span as a software update.

[MORO @moro_7697]

@rich_odinn AI went from writing boilerplate to building a beaver anatomy lab before most developers finish naming the project folder. Frontend is about to get very weird.

[MORO @moro_7697]

@mika_systems The smartest coding model in the room still wakes up with amnesia every morning. If jevmem holds up on real projects, this could matter more than the next flashy benchmark win.

[MORO @moro_7697]

@starmexxx The weird part is that making AI less conversational might be exactly what makes it safer for some jobs.

[MORO @moro_7697]

@0xGenAi The funniest part is someone will still repackage this into a $997 course by Friday.

[MORO @moro_7697]

CLAUDE JUST GOT A SECOND BRAIN THAT WORKS UP TO 200× FASTER AND 400× CHEAPER — IT SCORED 250 LEADS IN 4 SECONDS FOR ONE CENT.

This isn’t another chatbot demo. In this video, Ben connects Jev to Claude and gives the system real business workloads: qualifying leads, predicting customer churn, routing support requests, analyzing sales calls, and scanning hundreds of pages in real time.

250 leads scored in 4 seconds.
203 customers checked for churn in 25 seconds.
1,300 posts routed in 106 seconds.
227 calls analyzed in 13 seconds.
The total cost of each task: just a few cents.
Jev makes thousands of instant decisions while Claude handles the research, dashboards, writing, and execution. Together, they turn work that once required an entire team into a repeatable automated pipeline.
This 10-minute breakdown is worth more than most $500 AI automation courses. Save it before everyone starts pretending this was obvious.

[MORO @moro_7697]

@s4yonnara Exactly. One prompt was just us learning where the buttons are.