Amodex

Building and testing the next generation of AI agents.

[Amodex @amodexbt]

@oxCreo That looks awesome, I think I'll save it.

[Amodex @amodexbt]

EVERY REQUEST GETS A LANE. THE BOT DOES NOT GUESS. IT ROUTES.

I opened GROK BOT LIVE ROUTE and froze. Parse. Classify. Route. Call. Merge. Reply. Six steps. Six lanes. One router picks one path per request. Then one answer comes out.

The counter was climbing while I watched. 4,263 requests. Then 4,686. Then 5,103. Throughput sitting at 18 a second. Parser, classifier, router, and tool call all running. Merger idle. Fallback idle. Classify heat filling the last 60 minutes. State: routing. LIVE.

Here is the loop. Read the request. Name the task. Pick the lane. Hand it to the tool. Fold the result back. One reply. Not a pile. Not ten agents arguing in one chat.

I found the screen and I am not gatekeeping it. If your bot still dumps every task into the same window, this is the other way. Work needs a route. This is the route.

[Argona @Argona0x]

https://t.co/K5FnOQbTdA

[Amodex @amodexbt]

@adriancortexbt I'd love to find out what the bot is capable of when it's running at 100% capacity.

[Amodex @amodexbt]

@0xCodila I'll save this and take a look at it when I have time.

[Amodex @amodexbt]

@0x_rody loops + graphs over endless prompts, this is where agents get real

[Amodex @amodexbt]

@a1exstone A monumental work🫰

[Amodex @amodexbt]

@bot https://t.co/6SpYDxZ7fS

[Amodex @amodexbt]

Grok Bot turned $50 into $3,977 on Polymarket with no human touching it.

It nearly died first, down to $14.83 and two days from shutdown, then it clawed back to 604 days of runway.

No team, no API keys, no one approving trades, just six agents that each own one job.

Most people are still running one prompt and calling it an agent.

Watch it, then read the guide below on building an agent team that pays its own bills.

[Amodex @amodexbt]

Grok Bot turned $50 into $3,977 on Polymarket with no human touching it.

It nearly died first, down to $14.83 and two days from shutdown, then it clawed back to 604 days of runway.

No team, no API keys, no one approving trades, just six agents that each own one job.

Most people are still running one prompt and calling it an agent.

Watch it, then read the guide below on building an agent team that pays its own bills.

[Argona @Argona0x]

https://t.co/K5FnOQbTdA

[Amodex @amodexbt]

@adriancortexbt It's interesting to listen to..

[Amodex @amodexbt]

@a1exstone Bloomberg-style research is getting much cheaper to automate.

[Alex Stone @a1exstone]

I built a Bloomberg-grade research terminal on Grok Bot from scratch.

Six agents run overnight, filings, earnings, sector, sentiment, insider, coordinator, and a full desk brief lands at 6:00 AM ET.

A Bloomberg seat costs $27,660 a year. This runs at roughly $20, no team, no data vendor, just Grok Bot and a watchlist.csv.

It replaces about 70% of what analysts use Bloomberg for, the research half, not live L2 or execution.

Most solo traders are still doing all of this by hand.

Watch it, then read the exact setup below.

[Amodex @amodexbt]

@adriancortexbt Jobs, not prompts, is where agents become useful.

[Amodex @amodexbt]

@adriancortexbt I agree, it's just the program and the idea.

[Amodex @amodexbt]

You don't need to be technical to run a team of AI agents anymore.

Nate B. Jones runs twelve of them and spent 19 minutes on what they actually do.

03:16 – your first bot: a chief of staff that runs the rest
03:40 – how the bots message each other without you
06:42 – bots that write their own tools
13:44 – it starts your work before you ask
14:22 – a bot that spins up its own team

Most people will run one bot and call it agents. He runs twelve.

Watch it before you decide whether $200 a month is a subscription or an investment.

[Amodex @amodexbt]

Don't spend a semester on AI theory to understand how machines beat humans at chess.

Stanford just dropped an hour on how game-playing agents actually think, from scratch.

17:26 - code your first game-playing policy
26:03 - expectimax: play against a random opponent
30:17 - minimax: assume the worst opponent
58:36 - depth-limited search with eval functions
1:02:48 - alpha-beta pruning: skip dead branches

Most people think game AI is memorized moves, this is the 90% that's actually search.

Watch it to see how an agent actually decides its next move.

[Amodex @amodexbt]

@a1exstone It seems to me that one in three people has a team of agents these days

[Amodex @amodexbt]

Don't spend a semester on AI theory to understand how machines beat humans at chess.

Stanford just dropped an hour on how game-playing agents actually think, from scratch.

17:26 - code your first game-playing policy
26:03 - expectimax: play against a random opponent
30:17 - minimax: assume the worst opponent
58:36 - depth-limited search with eval functions
1:02:48 - alpha-beta pruning: skip dead branches

Most people think game AI is memorized moves, this is the 90% that's actually search.

Watch it to see how an agent actually decides its next move.

[Amodex @amodexbt]

Grok Bot early tester:

"You know the meme of people walking around with their laptop half open to keep their agents running. You don't have to do that anymore."

In 22 minutes he builds five bots from scratch, a bot that manages his other bots, an X scout, an inbox cleaner that finds subscriptions to cancel.

All of them live on a cloud computer that stays signed in to your apps while your laptop is closed.

Watch it, then read the guide below on building your own bot team from scratch.

[Amodex @amodexbt]

@a1exstone Agents could turn many apps into invisible infrastructure.

[Amodex @amodexbt]

@adriancortexbt Better tools make building faster and much easier.

[Amodex @amodexbt]

@adriancortexbt One chief agent coordinating specialists feels like the cleanest model.

[Amodex @amodexbt]

@cyrilXBT Prompt engineering isn’t dying, it’s evolving into orchestration.