john carlo lacaba™♥ @LacabaJohn - Twitter Profile

about 11 hours ago

Watching Mochi work in Sailand while Sai handles Windows desktop tasks in a floating window is fun. Each pixel avatar represents an active computer doing real work. Having a #Robosecretary like this makes managing my #SaiFleet pretty neat.

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LacabaJohn retweeted

Jarvix

@Jarvixdotlive

about 22 hours ago

We’ve spent years building better tools for managing tasks, but the harder problem was never knowing what exists. It’s knowing what deserves your attention next. A project can be full of open tasks, notes, conversations, ideas, decisions, and unfinished work. A traditional task list treats them as separate items and asks you to choose between them. But the right next step usually depends on the context around those items. You may have already tested an approach and rejected it. A conversation may have changed the direction of the project. A small unresolved problem may now be blocking everything else. Something you worked on last week may suddenly become relevant again. None of that is obvious from a checklist. The real question isn't What can I do? It's Given everything that has happened, what would be most useful to do now? That distinction becomes increasingly important as AI makes execution cheaper. When AI can generate research, code, ideas, drafts, and solutions in minutes, the bottleneck shifts from doing the work to deciding which work deserves to happen next. That’s the thinking behind Next Move in https://t.co/plHxN8K2py Instead of simply giving you more things to do, it uses the context around your work to surface actions that may be worth your attention. It doesn't make the decision for you. It gives you a better view of the decision. Because the future of personal AI may not be about helping us do everything faster. It may be about helping us recognize what matters next.

Jarvixdotlive's tweet photo. We’ve spent years building better tools for managing tasks, but the harder problem was never knowing what exists. It’s knowing what deserves your attention next.

A project can be full of open tasks, notes, conversations, ideas, decisions, and unfinished work.

A traditional task list treats them as separate items and asks you to choose between them. But the right next step usually depends on the context around those items.

You may have already tested an approach and rejected it. A conversation may have changed the direction of the project.

A small unresolved problem may now be blocking everything else. Something you worked on last week may suddenly become relevant again.

None of that is obvious from a checklist.

The real question isn't What can I do?

It's Given everything that has happened, what would be most useful to do now?

That distinction becomes increasingly important as AI makes execution cheaper. When AI can generate research, code, ideas, drafts, and solutions in minutes, the bottleneck shifts from doing the work to deciding which work deserves to happen next.

That’s the thinking behind Next Move in https://t.co/plHxN8K2py

Instead of simply giving you more things to do, it uses the context around your work to surface actions that may be worth your attention.

It doesn't make the decision for you.
It gives you a better view of the decision.

Because the future of personal AI may not be about helping us do everything faster.

It may be about helping us recognize what matters next.

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LacabaJohn retweeted

Beep @0xbeepit

13 days ago

Your Beep Agent can now work where you already do. Connect Beep to Telegram to talk to your agent and trade directly from chat. Or connect through Claude and ChatGPT to analyze markets, manage positions, create agents, and execute strategies through prompts. Connect Beep agent to your workspace: https://t.co/OMq0pCgEbq

0xbeepit's tweet photo. Your Beep Agent can now work where you already do.

Connect Beep to Telegram to talk to your agent and trade directly from chat.

Or connect through Claude and ChatGPT to analyze markets, manage positions, create agents, and execute strategies through prompts.

Connect Beep agent to your workspace: https://t.co/OMq0pCgEbq

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LacabaJohn retweeted

Sui @SuiNetwork

about 1 month ago

Prompting a model to read a market is easy. Letting it act on your money is the hard part. @0xbeepit now lets you write your strategy into a text file and hand it to an agent. Sui runs independent txns in parallel, so your agent never queues behind anyone else's.

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