Hey Product Hunt,
We're Khaled and the Neural team. Today we're launching NeuralAgent 2.5, the biggest update we've shipped.
For those who don't know NeuralAgent: it's an AI agent that sees your screen and controls your computer. It opens apps, clicks buttons, manages files, and handles tasks across your entire system. You describe what you want in plain English and watch it work.
Here's what's new in 2.5:
NeuralAgent
Hey Product Hunt,
Khaled here, founder of NeuralAgent.
NeuralAgent is used by tens of thousands of people worldwide, including Fortune 500 enterprises. 2.5 is the release I'm most proud of since we started.
We've been building toward this release for a long time and I'm genuinely excited to share it today. The feature I'm most proud of is Voice Mode. Talking to NeuralAgent and having it talk back while it controls your computer is the closest thing to Jarvis I've seen outside of a movie. Try it first.
Watch & Learn is the other one worth calling out, show NeuralAgent how to do something once, it saves the steps and repeats it any time you ask. We built it because explaining the same task over and over to an AI defeats the purpose of having one.
Happy to answer any questions about how we built it, where we're taking it next, or anything else.
This community has been a huge source of inspiration, grateful to be here.
Computer-use is the frontier where demos look magical and the long tail eats you alive. The question I always have for this category: what happens when a button moves or a modal you did not expect pops up mid-task? Recovery from an unexpected state is the whole game once you leave the happy path. Curious how 2.5 handles that. Congrats on the 7th launch, that is real persistence.
Firecoach AI
We’ve had AI assistants for two years.
What we haven’t had is something I can actually hand a messy real-world task to and trust it will go do it inside my machine - consistently.
That gap between demo and “did it actually complete the work?” is everything.
Interested to see how NeuralAgent handles that gap in practice.
"Research 30 competitors at once" is the Parallel Agents claim I want to see hold up — fanning out is the easy half, but the hard part is whether the 30 results come back in a shape I can actually compare, instead of 30 separate blobs I have to reconcile by hand afterward.
How well does it handle multi step tasks across apps?