Claudio Dipolitto

Business mentor. Innovation researcher. Creator of the "HoPE Canvas" for designing purpose-driven business models. Call me to schedule a Zoom meeting #InoveLab

[Claudio Dipolitto @claudipolitto]

@tvglobo Grande Paulo Vieira. Sensacional usar esse espaço para trazer um pouco de consciência crítica para a população, através do humor inteligente e responsável. E a volta do Faustão é uma metáfora que até terraplanista entende 👏👏👏📣🎤🖥

[Curie @mrcurie]

Andrej Karpathy built a second brain on 100 articles and 400,000 words. It maintains itself while he sleeps.

The frame flip: Obsidian is the IDE. Claude Code is the programmer. Your notes are the codebase.

Three commands run everything. Ingest drops an article or podcast and Claude splits it into atomic pages linked to what you already know. Query answers from your own notes in your own words. Lint walks the entire vault weekly, kills stale claims, and reconnects orphan notes.

Then Steph Ango, the Obsidian CEO, shipped 5 skill files that teach Claude to write Obsidian's native language - wikilinks, Canvas, Bases, the CLI. 41,000 stars. MIT license. No pitch.

No vector database. No embeddings. No $20/month memory app. Just markdown and an agent that handles the linking, filing, and upkeep that killed every Zettelkasten since 1965.

You have 3,000 notes nobody will reopen. His read themselves by breakfast.

Every app promised a second brain. This is the first setup that actually maintains one.

[Akshay 🚀 @akshay_pachaar]

the four types of agent loops.

loop engineering keeps getting talked about as one thing. it's actually a choice between four structures, and each one fits a different kind of task.

it means designing the system that steers the agent, instead of steering it yourself move by move.

that system always answers two questions. what starts a run, and what decides the work is done.

in a hand-run session you answer both yourself, every single time. each loop type moves more of that into the system.

here's each type, what triggers it, and when to reach for it.

1) turn-based.

triggered by a user prompt. the agent gathers context, acts, and checks its work inside a single turn, then a human reviews the output and writes the next prompt.

use this when requirements are still forming and every output changes what you'd ask for next.

2) goal-based.

triggered by a /goal command carrying success criteria and a budget, like "get the homepage Lighthouse score to 90, stop after 5 tries." when the agent tries to stop, an evaluator model checks whether the goal is met, and a no sends it back to work.

use this when the outcome is measurable but the path there isn't worth your attention.

3) time-based.

triggered by a clock. an interval fires, the agent runs a fixed prompt like "check the PR, fix CI," then waits for the next tick. /loop runs on your machine, /schedule moves it to the cloud so it survives a closed laptop.

use this for recurring work where the task is known in advance and only the timing repeats.

4) proactive.

triggered by an event or schedule with no human present. a routine watches a channel, and when something needs handling it spawns a workflow with a triage agent, a fix agent, and a reviewer that adversarially judges the work before the task closes.

use this for standing responsibilities where you can't predict what will come in, only that something will.

each type hands off one more job than the last. turn-based keeps both with the human, goal-based automates the checking, time-based automates the trigger, and proactive automates both while deciding the workflow shape at runtime.

so the mapping question isn't which loop is most advanced. it's whether your task is exploratory, measurable, recurring, or standing.

the more you hand off, the less you babysit.

I wrote the full breakdown on loop engineering. the article is quoted below.

[rari @0xwhrrari]

Andrej Karpathy recorded 70 minutes

Breaking down how top AI users actually work with LLMs

And most people are making it way too complicated

Worth more than most $300 AI courses

Bookmark and watch it later

[John Peslar @johnwhereareu]

Anthropic just released a free course on loop engineering with Fable 5

00:00 - how Claude Code works under the hood
05:01 - the agentic loop explained
16:21 - the function that 99% of devs ignore
19:01 - why voice beats writing
32:34 - automatic code review with draft PRs
58:39 - Fable 5 for work that's not code

This free course replaces any paid Claude Code tutorial.

Bookmark it for later.

[Claudio Dipolitto @claudipolitto]

Nobel da Paz para Luka e Moraes 👏
https://t.co/cbDXmwl717

[Claudio Dipolitto @claudipolitto]

@Ayda__gol ... on using chatgpt as a digital partner

[Claudio Dipolitto @claudipolitto]

@Ayda__gol Great !! Tell us more about your approach 😉

[Claudio Dipolitto @claudipolitto]

@GeminiApp Any chance to release reasoning models for academic researchers? It's our main reason to use LLMs. Thanks

[Andrew Ng @AndrewYNg]

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with @crewAIInc and taught by its founder, @joaomdmoura! (Disclosure: I've made a small seed investment in CrewAI.)

In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models.

You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system.

In detail, you will learn how to:
- Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails.
- Integrate your multi-agent application with internal and external systems.
- Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together.
- Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results.
- Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task.
- Start a project from scratch in your environment and prepare it for deployment.

You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases.

By the end of this course, you will be equipped to start building custom multi-agentic systems for your work.

Please sign up here! https://t.co/JkD52B3ONA

[Claudio Dipolitto @claudipolitto]

"Marcelo wrote this book because he realized that his mother was losing her memory due to Alzheimer's..."_
Fernanda Torres

https://t.co/WcUcekXf3V

[Claudio Dipolitto @claudipolitto]

@Whizz_ai CanvaGPT

[Claudio Dipolitto @claudipolitto]

Free Harvard courses

[Hasan Toor @hasantoxr]

Harvard University is offering free online courses.

No application or fee required.

Here are 10 FREE courses you don't want to miss:

[Claudio Dipolitto @claudipolitto]

@OperacoesRio Tivemos apagão na Estrada dos Bandeirantes perto da GSK. Energia só voltou às 3h30 da manhã. Quais os planos para evitar novos apagões como os de São Paulo?

[Claudio Dipolitto @claudipolitto]

Ultimately, WE the people are at the heart of any successful innovation strategy, making US the key to 𝑺𝑼𝑺𝑻𝑨𝑰𝑵𝑨𝑩𝑳𝑬 𝑯𝑶𝑳𝑰𝑺𝑻𝑰𝑪 𝑻𝑹𝑨𝑵𝑺𝑭𝑶𝑹𝑴𝑨𝑻𝑰𝑶𝑵. @mentor.claudiodipolitto https://t.co/1AhhEq6yGq

[Claudio Dipolitto @claudipolitto]

Propósito dá lucro?
Atraindo clientes conscientes

Como o PROPÓSITO aproxima a empresa dos consumidores que se preocupam com questões sociais, ambientais e éticas?

Propósito pode ser um diferencial para consumidores conscientes e seletivos?

Propósito impacta a reputação?

[Claudio Dipolitto @claudipolitto]

@heytemply Brain

[Claudio Dipolitto @claudipolitto]

AI is here to stay. Let's try it

[Sam chan @samChan3890089]

October is coming to an end.

And,

After analyzing over 7000 AI tools,

I've compiled a list of over 55 of the Best Trending AI Tools for October.

100% FREE for 24 hours.

To get it,

➻ Follow me (so I can DM)
➻ Repost 🔄
➻ Reply with "AI"

[Claudio Dipolitto @claudipolitto]

@samChan3890089 AI

[Claudio Dipolitto @claudipolitto]

I use Canva and it's amazing

[Claudio Dipolitto @claudipolitto]

@Whizz_ai CANVA PRO