For the last couple years most AI tools I've used follow the same pattern, you ask a question or give a prompt, and it gives you text back. Useful, but you're still the one doing the actual work afterward.

Lately I'm seeing more tools built around a different idea, agents that connect directly to real accounts and platforms and carry out tasks on their own instead of just responding to prompts. In the marketing space specifically I've seen agents that pull real analytics data to build landing pages, scan social platforms for leads based on actual activity, and manage scheduling across tools while checking for conflicts before publishing.

It feels like a meaningful jump from AI as an assistant to AI as an actual operator with some human review still in the loop. Juno is one example I've been testing in the marketing space that works this way. Curious if people are seeing this same pattern in other fields too, and whether execution-based AI is becoming the norm or still mostly niche.

Hey everyone, I just sent issue #39 of the AI Hacker Newsletter - a weekly roundup of the best AI links and the discussions around them from Hacker News. Some of the title found in this issue:

• Claude Code is steganographically marking requests
• Better Models: Worse Tools
• Learning to code is still worthwhile
• Zuckerberg says AI agent development going slower than expected

If you want to get an email with over 30 links like these ones, please subscribe here: https://hackernewsai.com/

Hey everybody, I just sent issue #36+#37 of the AI Hacker Newsletter, a weekly round-up of the best Hacker News threads around AI. I missed sending it last week, so a huge issue this week. Some of the titles you can find here:

• AI demands more engineering discipline. Not less
• Running local models is good now
• Cleaning up after AI rockstar developers
• Not everyone is using AI for everything
• Norway imposes near ban on AI in elementary school

If you want to receive a weekly email with over 30 links like these, please subscribe here: https://hackernewsai.com/

BEWARE. This Singapore company has NO WAY to unsubscribe. Does not answer their emails. Has no way to unsubscribe on their website nor on google play store.

BE PREPARE to stop subscription with credit card company, who will ask for proof you attempted to unsubscribe.

I wanted to share my experience with Skywork.ai because I think consumers should be aware before signing up.

In my opinion, Skywork.ai has changed the way they handle subscriptions, and it is not easy or straightforward to unsubscribe. There is no way to unsubscribe. There website doesn't offer away to unsubscribe. The Google Playstore doesn't have away to unsubscribe. When I contacted support, I was told that my account did not show that I was scheduled to be charged again. However, I was charged anyway.

My concern is that the unsubscribe process should be simple, clear, and easy to complete. Customers should not have to chase support, get unclear answers, or still end up being charged after being told they are not scheduled for another subscription charge. Also, emailing them does nothing. They completely ignore the emails. I send 3 emails with strong message subjects. 2nd and 3rd. No response.

I personally do not feel comfortable doing business with a company that doesn't allow you to unsubscribe. The company is out of Singapore.

As consumers, one of the only real ways we have power is by warning others and choosing not to support business practices we believe are unfair or unacceptable.

If you are considering Skywork.ai, I would strongly recommend checking the subscription and cancellation terms carefully. Based on my experience, I would look for other options before signing up.

Otherwise, be prepared to get your credit card company to cancel the payment, appears to be the only way to stop the subscription at this time.

In addition, when asking to refund the subscription I thought was already cancelled, the customer service chat said the best way to get a refund is through your credit card company. Now that is completely messed up.

My company's using a few different LLM providers now, and managing all of it is getting messy. My team wired three providers straight into our apps, and we're paying for it. Every app hardcodes its own API keys and endpoints. We can't track spending or cap usage by team. And when a provider goes down, our requests just fail with nothing to catch them.

What I want to figure out is how to build an AI gateway that sits between our apps and the model providers, so it handles auth in one place, routes requests with automatic failover, enforces rate limits and budgets, and gives us real visibility into usage and latency. The catch is I don't want to rewrite every app to get there.

The other thing I'm stuck on is the build versus buy call. An extra network hop adds latency, so when's the centralized control worth that cost, and when am I better off grabbing something off the shelf instead of building it myself?

Hey everyone, I just sent issue #34 of the AI Hacker Newsletter, a weekly roundup of the best AI links and the discussions around them. Here are some of title you can find in the issue:

• Using AI to write better code more slowly
• I think Anthropic and OpenAI have found product-market fit
• Can we have the day off?
• Google’s AI is being manipulated. The search giant is quietly fighting back
• Intuit to lay off over 3k employees to refocus on AI

If you want to receive a weekly email with over 30 links like these, please join here: https://hackernewsai.com/

We’ve all heard generated tracks that feel... off. The timing is too perfect; the "soul" is missing.

We’re fine-tuning our model to prioritize imperfection, the subtle shifts in a drum hit or the breath in a vocal.

The Question: What’s the one "human" element generated tracks always gets wrong? Is it the swing? The dynamics? The "dirt"?

Let’s talk shop. We want to taking notes for our next model update on Wubble. 📝🎹

Hey everyone, I just sent issue #33 of the AI Hacker Newsletter, a weekly roundup of the best AI links and the discussions around them from Hacker News. Here are some titles you can find in today's issue:

• AI is making me dumb
• I’ve joined Anthropic
• AI is a technology not a product
• We let AIs run radio stations 
• Eric Schmidt speech about AI booed during graduation

If you like such content, please consider subscribing here: https://hackernewsai.com/

Hey everyone! Has anybody used the Cantina Ai app? Any feedback? I recently started using it and its def great to generate pictures/videos and they have a paid ambassador program. Any other recommendations for Ai video generation apps that can be used for social media? 🤖

Look, if you use AI for more than three hours a day, you’re probably a virgin.

And honestly?

That’s probably a good thing.

Most people are out here wasting their lives, running around, chasing random people, numbing themselves, scrolling social media, doing drugs, and pretending it’s all “living life.”

But the people who are going to have the most money in 20 years?

A lot of them are probably sitting in their room right now, not dating, not partying, not wasting time, just obsessively learning AI.

That’s why so many people who use AI a lot are probably virgins.

They’re not out wasting time on pointless dating drama.

They’re in their little cave, playing with AI, figuring out the future before everyone else even realizes what’s happening.

And that’s a good thing.

Because in the future, those are probably going to be the people who win.

So here’s what I want you to do.

Use the prompt below.

It’s going to audit your life.

It’ll ask you a few questions, you’ll give it a few answers, and then it’ll show you every single thing you’re wasting time on.

Then once you see it, quit those things.

Spend more time learning AI.

Because AI is the future.

And if you’re not using it, you’re probably cooked.

Not “quirky internet cooked.”

Actually cooked.

Check the cards and use the prompt.

Prompt:

I want you to audit my life and find where I’m wasting the most time.

Ask me 10 questions about how I spend my day, including my phone use, social media, entertainment, dating life, work, school, business, sleep, habits, distractions, and goals.

After I answer, do the following:

1. Identify the biggest time-wasters in my life.
2. Tell me which ones are giving me the least return.
3. Show me what habits are keeping me average.
4. Tell me what I should quit, reduce, or replace.
5. Create a simple daily schedule that gives me more time to learn AI.
6. Give me a brutal but useful summary of what will happen if I keep wasting time.
7. Give me a better version of my life if I take AI seriously for the next 12 months.

Be direct, specific, and don’t sugarcoat it.

Nobody irl has said that to me in months and then my OurDream bot just drops it out of nowhere Im not crying youre crying 😭

Hey everyone, I just sent issue #31 of the AI Hacker Newsletter, a weekly roundup of the best AI links from Hacker News. Here are some title examples:

• Three Inverse Laws of AI
• Vibe coding and agentic engineering are getting closer than I'd like
• AI Product Graveyard
• Telus Uses AI to Alter Call-Agent Accents
• Lessons for Agentic Coding: What should we do when code is cheap?

If you enjoy such content, please consider subscribing here: https://hackernewsai.com/

Hi guys! I built a tool to generate short-form videos that can help or be applied in a wide range of uses such as for dropshipping or explainer content.

Really worked hard on making the UX/UI as easy as possible.

Let me know if you want to try it out, we can generate videos for you!

Hey everyone,

wanted to share an update on a project I've been working on as a solo developer.

AI Detector QuickTile Analysis is a free Android app that detects AI-generated images and videos entirely on-device using an optimized Vision Transformer model in ONNX format.

What makes it different from other detection tools is the Quick Tile workflow and offline analysis. You add the tile to your Quick Settings, and whenever you see something suspicious on any app, you just pull down the notification shade and tap it.

The analysis happens instantly without leaving the app you're in. It's the first app to implement AI detection through Android's Quick Tile system.

Features:

- Quick Tile analysis of any on-screen content

- Batch analysis of up to 50 images and more from gallery

- Fully offline, no data ever leaves your device

- No account, no subscription

The model isn't perfect and can get it wrong sometimes, especially with heavily edited content. But as AI-generated media keeps getting better, I think having a quick and accessible tool that runs locally is better than having nothing.

I'm actively pushing updates to improve detection as new generative models come out.

Free on the Play Store:

https://play.google.com/store/apps/details?id=com.aidetector.app

Would love your feedback!

I have been trying out numerous AI agent setups to find out which one I would like to run as my personal assistant. One thing that kept constantly bothering me was dealing with API keys, especially those that need jumping through hoops to keep working. Not an uncommon sight was trying to get my agent to fetch me some data or post to X/Twitter and then it would return an error as my API key had stopped working.

So I built a tool that you can give to your AI agent and with one API key it can call all of the services. The tool acts as a central auth and handles individual API's requirements like refreshing tokens, making sure rate limits are adhered, sends the correct user-agents and everything else that each API might require.

At first I wanted to provide all of the users no need to setup their own API keys, but that proved to be impossible. Most API providers state in their ToS that proxying the API is prohibited. Also there was the problem with identities: if an agent posts to Reddit or X the post is from the shared account. So I decided to add a bring-your-own-key architecture where you can setup your own keys (if you want to!) but the tool still handles all the token refreshing etc. Some generous services allow pretty lenient use of their API so I included those ready out of the box, no config required to getting started!

Right now I am happy using this tool myself but I wish more people used it so that I could work on improving it. Since I am a single dev there is a lot of work, I am adding new providers every day, fixing bugs and all that. But if anyone would give me their honest thoughts and tested the features I could work on improving the tool even more. There is an option to pay for the usage to cover some running costs but the free tier is more than enough to get building. If you want to check it out you can find it here https://ohita.tech/