CD

Founder @nf3_wtf | Fractional COO + Premium Ghostwriter | Creating systems and narratives that scale with clarity and calm. ⚙️

[CD @AIopsarchitect]

We are entering the rise of the generalist.

Your most important skills now are not the X years you spent in position Y, but rather your ability to adapt, context switch and learn on the job.

The playing field is much more level. Embrace it.

[CD @AIopsarchitect]

@indykaila Sure pal

[CD @AIopsarchitect]

@UEFA So proud! Brilliant. Congratulations Europe! Football is not for sale.

[UEFA @UEFA]

Statement on behalf of UEFA and its 55 National AssociationStatement on behalf of UEFA and its 55 National AssociationStatement on behalf of UEFA and its 55 National AssociationStatement on behalf of UEFA and its 55 National Associations

[Miles Deutscher @milesdeutscher]

Most people don't know this, but Anthropic regularly contributes to a GitHub repo of cybersecurity agentic skills.

700+ skills, 25+ security domains, 5+ framework mappings.

I went through the whole thing and built a prompt that secures your codebases.

It gives any AI agent the security skills of a senior analyst:

[The Startup Ideas Podcast (SIP) 🧃 @startupideaspod]

An agent can run your entire Facebook ads account now.

- Researches the pain points.
- Researches the outcomes your customer actually wants.
- Builds the creative (statics and AI avatar UGC).
- Publishes it into your ad account.
- Turns off the losers.
- Promotes the winners.
- Then studies what worked and makes more of it.

The catch nobody mentions:

That loop only runs if you built three things first.

Data:
- Unified clarity across the whole pipeline.
- Solve this before anything else.

Autonomy:
- It decides on a cadence, with a thinking loop.
- Runs the process, reads the data, improves off the data.

Infrastructure:
- Data pipeline
- Data warehouse
- Cloud to host the agent

Everyone selling you an "autonomous marketing agent" skipped that part.

[EP @eptwts]

https://t.co/bwdwdD5aj9

[GREG ISENBERG @gregisenberg]

Marketing agents are the NEW coding agents.

It's code in the cloud that makes decisions off your live business data on a loop. It researches, acts, reads the results, improves, and goes again.

Picture an agent that runs your entire Facebook ad account by itself. It researches your customer's pain points, generates on-brand creative, publishes it, kills the losers, scales the winners, and makes more of whatever's working.

We show you the EXACT stack.

Perplexity to scrape Reddit for real pain points, Nano Banana for on-brand static creative, a vision model to check it against brand guidelines, HeyGen for AI UGC video, all wired into a loop that reads Facebook's data and reacts.

Now point it at a business. What are some startup ideas you can point marketing agents to?

WordPress runs 43% of the internet. Take the plugins people already pay for, like Yoast, WooCommerce, and WP Forms, and build the AI-first version of each.

Examples:

Yoast (~$15M ARR) shows you red and green dots and tells you to fix your SEO yourself. The AI version just does it. Proven demand, no AI-native competition, and thousands of site owner pay agenices $1,000 a month and many wish they'd pay less and got more.

Coding agents changed who gets to build software.

Marketing agents change who gets to grow a company.

Full breakdown on @startupideaspod. Thanks to @codyschneider for the sauce.

Will break down more marketing agents if people are interested? Just LMK.

Watch.

https://t.co/gyQED92aI7

I'm rooting for you and happy growing.

I think we've heard a lot about coding agents recently.

And we're about to hear a lot more about marketing agents.

[CD @AIopsarchitect]

@JensenHuang @nvidia Quite the banger for a first post. Setting the bar high there Jenny boi.

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[AI Edge @aiedge_]

https://t.co/VLNL6bgiaw

[Miles Deutscher @milesdeutscher]

I used Claude Code to build and automate a legitimate quant trading strategy.

The framework I built is based on the GARCH model, and it's one of the most-used trading models by real quant desks.

The crazy thing is, I just completely open-sourced the GitHub repo.

It contains: a Pine Script indicator for TradingView that loads the quant strategy in real time, complete installation instructions, a reusable Claude Skill & more.

This is probably the most-valuable thing I've shared on 𝕏 in 2026.

→ https://t.co/9G8unb2z5Z

[Iker Casillas @IkerCasillas]

🏴󠁧󠁢󠁥󠁮󠁧󠁿 mete el gol y se va atrás. Planteamiento cobarde. No han salido del área y han permitido a 🇦🇷 llegar más. Sucede lo lógico.

[The Startup Ideas Podcast (SIP) 🧃 @startupideaspod]

https://t.co/Iwsd1Yod3n

[CD @AIopsarchitect]

@piersmorgan Even more proof you know nothing about footballs

[CD @AIopsarchitect]

@UTDTrey You’re a curse man.

[CD @AIopsarchitect]

@UTDTrey The generational jinxer. Man should be studied for how bad luck he is.

[Alex Finn @AlexFinn]

I did it. I figured out the perfect AI coding loop

It's called the Finn Loop and it's 100x'd my vibe code output while cutting the work I need to do down by 95%

ANYONE can implement this. It's super easy. Here's how it works:

1. 3 new skills inside your coding agent. /spec, /build, /review

2. You start out with /spec "your idea". The skill then asks you enough questions to fully understand your idea in detail then create a detailed spec inside Linear (amazing project management tool. Very generous free tier)

3. In another Codex/Claude Code session: you have a /build loop running. Once a spec is created, the /build skill picks it up and builds it out for you. Then advances the status of the issue in Linear

4. In another session, you have /review loop running. It picks up every issue that is built out then reviews it. Checks for security issues, optimization issues, then tests the code in its own browser, lays out test steps, takes screenshots, creates a PR, and puts it in its own vercel test sandbox for you to test it

5. The review loop then takes all of that and pings you in a channel in your favorite messaging service. I use Slack for this. It shows you the PR, gives you all the testing steps, and executive summary of the changes, and a link to the Vercel sandbox where you can test it

6. You go to the message in Slack, review the change, then send a rocket ship emoji as a reaction. This signals to the loop that the PR should be merged.

The only manual steps in this loop are you submitting an idea to your agent, and verifying the change at the end. Everything in between is automated in the loop.

Your vibe coding workflow today is hand holding your agent step by step on everything you build. You spend all day doing this.

Your vibe coding workflow when using the Finn Loop is you wake up, make a cup of coffee, give your agent a list of ideas, then come back at night and review all the changes. You're free to do whatever you want during the day.

Let me know if you want my full spec, build, and review skills. Will release them soon. Will also film a tutorial video on this.

There's also a ton more details I'll share shortly too, like the interface I built for monitoring all of this.

You also can probably just send this tweet to your agent and it will recreate the Finn loop for you.

Carve off some time and try this out today. I promise it will dramatically improve your workflow

[GREG ISENBERG @gregisenberg]

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7

A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself.

That's the bigger idea.

A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal.

Build. Verify. Repeat. Stop when the condition is met.

Here's what it looks like in practice:

1/SEO loop

You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero.

2/Ads loop

You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black.

3/Eval loop

Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%.

4/LLM visibility loop

People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not?

The whole thing hinges on one thing: a metric that comes back black and white.

Where do I rank? Did it hit profitability? Did the evals pass?

Give an agent that scoreboard and it runs for months.

Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one.

You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down.

Full episode on @startupideaspod

watch

[CD @AIopsarchitect]

@KolbeAgency 3-2 to France

[CD @AIopsarchitect]

@newreyreal2 Why does this joke tournament still exist? Can footballers never recover?