u/Select_Werewolf7453

Hola a todos 👋

¿Alguien me podría recomendar un buen tutor privado para prepararme para el PAA, de preferencia que dé clases en línea?

Estoy buscando a alguien que realmente tenga buena reputación y resultados comprobables con sus alumnos, no solamente alguien que dé asesorías. Me interesa que pueda ayudarme con matemáticas y con las demás áreas del examen, y que tenga un método de preparación estructurado.

Soy estudiante no tradicional y no voy a empezar desde cero, pero sí necesito estructura, consistencia y accountability para prepararme bien.

Si conocen a algún tutor que sea especialmente bueno preparando alumnos para el PAA y que tenga casos de éxito verificables, les agradecería muchísimo la recomendación.

¡Gracias!

I’m a Hermes Agent user trying to get more personal tasks off my plate. I have Hermes running natively on a Beelink with Windows 11 Pro, not through WSL, because I’m a Windows guy.

Right now, I’m building a workflow that automatically books appointments with my barber whenever I need one, but I’ve run into a few issues.

First, the CAPTCHA problem has been solved. I’m using CapSolver, and it works fan freaking tastically.

The problem now is Hermes Agent’s built in “Computer Use.” Frankly, it’s f***ing weak. Even though my credit cards are saved in Chrome, Hermes still cannot figure out how to enter the CVV, even though the CVV is also saved in Chrome.

The only alternative I can think of is using the Claude Code Chrome extension, which is ridiculously powerful. I’ve used it to build the entire architecture of my company’s HubSpot CRM. I’ve used it to create waterfall tables in Clay. You f***ing name it. It can probably do it.

However, there may be a more straightforward way to solve this.

I’m looking for a production grade solution because barber appointments are only the beginning. I plan to use Hermes for many other business workflows, and I know I’ll encounter similar browser control and payment obstacles in the near future.

Does anyone have advice on the best way to approach this? And if my entire mindset or architecture is wrong, roast me. I genuinely welcome the feedback.

I run a construction company and I am trying to build real AI agent workflows for business operations, not just demos.

I spent time testing Hermes and OpenClaw, but both became too fragile for my use case. Too many crashes, too much infrastructure work, and not enough useful business output.

I am now focusing mostly on Claude Code and Codex, using Git repos as the backbone. That has started to feel much more practical.

My current setup is roughly:

Sonnet 4.6 for extracting around 180 YouTube videos

Opus 4.7 for synthesis and playbook creation

Codex with GPT 5.5 for independent claim verification

Supadata for transcripts and research inputs

Markdown files, handoffs, schemas, logs, and project memory inside repos

I am also starting to study GitHub repos from Claude Code and Codex power users, like Citadel style orchestration systems, to learn patterns around subagents, hooks, worktrees, quality control, and persistent context.

My goal is to eventually bring this into real business operations: research, sales intelligence, HubSpot, finance categorization, QuickBooks, email, Slack, internal knowledge, and construction operations.

I am not a professional software engineer, but I am technical enough to use VS Code, Git, APIs, Claude Code, Codex, Windows, WSL, and local repos.

For people actually using this in production:

Are you also moving away from fragile agent platforms and using Claude Code or Codex directly over repos?

How are you structuring multi agent workflows?

Are you using agents folders, skills, hooks, worktrees, or custom orchestration?

How do you handle context loss between sessions?

Do you treat Markdown files as the real memory layer?

What GitHub repos or power users are worth studying right now?

I am especially interested in real operators and entrepreneurs using this for actual company workflows, not toy demos.

What would you do differently if you were building this from scratch today?

I run a construction company and I am trying to build real AI agent workflows for business operations, not just demos.

I spent time testing Hermes and OpenClaw, but both became too fragile for my use case. Too many crashes, too much infrastructure work, and not enough useful business output.

I am now focusing mostly on Claude Code and Codex, using Git repos as the backbone. That has started to feel much more practical.

My current setup is roughly:

Sonnet 4.6 for extracting around 180 YouTube videos

Opus 4.7 for synthesis and playbook creation

Codex with GPT 5.5 for independent claim verification

Supadata for transcripts and research inputs

Markdown files, handoffs, schemas, logs, and project memory inside repos

I am also starting to study GitHub repos from Claude Code and Codex power users, like Citadel style orchestration systems, to learn patterns around subagents, hooks, worktrees, quality control, and persistent context.

My goal is to eventually bring this into real business operations: research, sales intelligence, HubSpot, finance categorization, QuickBooks, email, Slack, internal knowledge, and construction operations.

I am not a professional software engineer, but I am technical enough to use VS Code, Git, APIs, Claude Code, Codex, Windows, WSL, and local repos.

For people actually using this in production:

Are you also moving away from fragile agent platforms and using Claude Code or Codex directly over repos?

How are you structuring multi agent workflows?

Are you using agents folders, skills, hooks, worktrees, or custom orchestration?

How do you handle context loss between sessions?

Do you treat Markdown files as the real memory layer?

What GitHub repos or power users are worth studying right now?

I am especially interested in real operators and entrepreneurs using this for actual company workflows, not toy demos.

What would you do differently if you were building this from scratch today?