fkilaiwi

I have a general question regarding 3d design using LLMs. My understanding is that all current applications have been trying to deal with 3d design/CAD as text/code. LLMs are clearly good at those but do you see this as the long term approch for 3d designs? do you see world models eventually evolving to produce 3d spaces or point clouds or CAD designs instead of doing video? is this approch explored? Congrats on the launch!

email me at faisal @ intunedhq.com and I can give you a demo!

if you want a video - checkout fix with ai - https://youtu.be/e4R4hLdHBro self-healing demo - https://youtu.be/IVHIXw0lYMs

yeah, bot detection is one! we ended up forking chromium and doing a custom chrome extension to solve captchas. This stuff is annoying but we had to do it.

Overall, the value we see comes from the integration between the platform and the agent, things like looking at a trace of a failure in the platform and hitting a button to fix it and getting code that you can review and merge has been life changing for our customers.

thanks for the idea!

thanks!

thanks!

well, auth depends on the exact case, as an example, some 2FA we deal with it via code and we generate OPT on demand, on some cases, different approaches. One thing worth mentioning is that for auth, we allow you to attach a proxy to an auth session which will allow you to use that same IP with that auth session to reduce issues. One more thing, we have something called recorder auth session which basicly allows you to use a remote browser to authenticate and then we just save that.

thanks! i asked my teammate working on bot detection to respond, he can better answer this!

fix with ai - https://youtu.be/e4R4hLdHBro self-healing demo - https://youtu.be/IVHIXw0lYMs

I am happy to give you a demo over a call as well

oh neat!

other than the stuff I mentioned, it’s the deep integration between the agent and platform. Because we have obserabiltity, you can open a failed run, and with a click of a button fix it. you can also enable self healing on a project which puts it on autopilot. we have a lot to improve on but if you have 10+ active scrapes, intuned as a package saves users time and pain.

thank you!

thank you!

definitely came up multiple times. Next week, we are releasing our codex/claude plugin, so you will be able to use codex to create the projects and deploy them to Intuned.

Intuned as a platform to deploy browser automation adds a lot - anti-bot detection, jobs, observability and more.

thanks! give us a try next time and checkout fix with ai when the scraper breaks!

The cost is AI cost for using the agent - not captcha cost. Usually, you would write the project and then call it via API - instead of asking the agent to do the action more than 1 time. Considering using the web task API for this use case.

our product is infra + agent. You can use codex or other agent to generate the code. We actually have a cli that allows you to deploy projects to our infrastructure.

We are actually working on open sourcing a plugin that you can use with any coding harness!

Great question - we tried so many things and overtime, we ended up doing 2 things - custom chromium build and extension to solve captchas. In our docs, checkout stealth mode - https://intunedhq.com/docs/main/02-features/stealth-mode-cap...

Also, one of our engineers did a write up on bot detection systems and how they work - https://intunedhq.com/blog/how-bot-detection-works

We actually do support CDP directly as well. As for why playwright, playwright provides a lot of benefits that we like in terms of being code - like auto-waiting, good syntax for a lot of operations, agents can use playwright pretty well and playwright is generally like by the community we target.

If a customer, doesn't want to use playwright, they don't have to given CDP but we most of our templates use playwright.

If you think about "price", "speed" and "accuracy (reliability/quality)", our bet is that models won't hit those 3 together. So you won't get a model that is very fast, very cheap and very accurate anytime soon.

Also, imagine that you have a case where you want to scrape 10,000 records from a website, why have AI navigate to every page to do this? why not write the code, run it, and get consistent and fast result? its also predictable, if it messes up, you know what happened and you can trace it to the exact line of code.

We actually went through 1 hard pivot only, the reset is more about framing the problem as we dug deeper and understood the customers and issue more. As an example, "Intuned Auth Sessions" is just a feature that we still support today! But you are right, being a founder is not easy and the hardest part is figuring out what to build, does it make sense to keep going or should you stop - those are questions I still struggle with until today.

For your question about how is this different - I think if you dig into those product you will see that our focus is different, many of the companies mentioned are focused on powering agents via APIs, some are focused on enabling users to use AI at runtime, we do feel that our product is somewhat differentiated - the closest one is possibly Reworkd and I would still say the product is somewhat different. Now, the hardest part is actually commenting this with customers and the market in general - and there, we have a lot to figure out!

For robots.txt and user-agents question, we think of ourselves as providing infrastructure and flexibility for our customers to do what they want - we do encourage in our docs that they respect robots.txt but we don't enforce it on a platform level.

Appreciate you taking the time to leave this comment - very thoughtful

thanks for the kind words! We have been seeing this pattern of customers wanting full service since we launch. Let's see how it goes!

Yes, we we did our YC and social launches, we had few companies sign up and we have been building with them sense. For some of them, we have enabled them to run 1000+ scrapers which would have been very hard without Intuned. Some of these have been with us for 2+ years! What our users love is the agent and the idea that we are not using AI at runtime which improves reliability.

this is not meant as personal assistant to do a task like this - the idea is that if you want to build a travel assistant and you want to do an integration with a travel booking service using browser automation - you can use Intuned to build this integration and expose an API to do search and one to do a booking, etc. Does this make sense?

what is context?

what paper are you referring to?

neat! what is your data source?

good news like this is so rare. this makes me happy

this seems pretty promising. I am planning to go through it. Any similar prompting courses I should checkout?

this is awesome. how do you plan to monetize this?