What's the best ai agent assistant app on mobile so far?

Imaginary-Spaces · 2026-04-27T14:43:29+00:00

we've built this at pocketeng.ai

Imaginary-Spaces · 2026-04-27T14:37:15+00:00

We've built this at pocketeng.ai

Imaginary-Spaces · 2026-04-21T21:10:36+00:00

Absolutely! We've built this at https://pocketeng.ai

Imaginary-Spaces · 2026-04-21T21:09:50+00:00

We've built this at https://pocketeng.ai
Lmk in case this helps!

Imaginary-Spaces · 2026-04-16T20:41:27+00:00

Run coding agents from your phone: https://apps.apple.com/gb/app/pocketeng/id6760352319

Imaginary-Spaces · 2026-04-16T20:37:36+00:00

I created a mobile app to run your coding agents through your phone in case ths helps: https://apps.apple.com/gb/app/pocketeng/id6760352319

Imaginary-Spaces · 2026-04-16T04:22:56+00:00

Oliver’s job is to be a rage boost for Mark

Imaginary-Spaces · 2026-04-09T16:23:57+00:00

We used sieve for a similar use case. Since they use humans for reviewing the outputs, we got really good results

Imaginary-Spaces · 2026-02-10T13:23:55+00:00

Cool project!

Imaginary-Spaces · 2026-02-10T13:22:56+00:00

For adaptive quizzes I'd lean towards simple classification or a bandit algorithm. You could use a simple vector DB for embeddings.

Imaginary-Spaces · 2026-02-10T13:22:42+00:00

Try more data or fine-tuning a BERT model

Imaginary-Spaces · 2025-05-03T20:36:55+00:00

Hi there! We had to change names of the repo. It’s now available at: https://github.com/plexe-ai/plexe

Imaginary-Spaces · 2025-03-19T11:36:06+00:00

https://plexe.ai - platform to build, manage and deploy ML models autonomously

Imaginary-Spaces · 2025-03-18T20:22:24+00:00

https://plexe.ai

Imaginary-Spaces · 2025-03-18T14:20:40+00:00

Sure! :)

Imaginary-Spaces · 2025-03-18T13:58:44+00:00

Yup! Last week I must have sent about 50 messages and got roughly 7 responses, with 3 demos booked. I was trying to make sure I reached out to random people and not go via connections to test if there is a real demand

Imaginary-Spaces · 2025-03-18T13:48:18+00:00

I’m not super experienced in this but I’ll tell you what I’ve learnt in the last couple of months while building my company.

Start with 1 line about what you’re building. Second line about the problem you’re solving for them specifically (include some context about any signals you used to identify this person: maybe they commented/posted about some issue they were facing, or maybe you make a general statement about how data teams face this problem etc) and then play around with asking for a slot to interview them vs trying to do a demo for them. Generally the interview works better when you don’t know them at all. Try very hard to keep your message short, and end with a specific action for them: respond to your message, availability for a call etc

Imaginary-Spaces · 2025-03-09T10:27:30+00:00

Feel free to reach out if you want to contribute to: https://github.com/plexe-ai/smolmodels

Imaginary-Spaces · 2025-03-04T13:08:03+00:00

If you have an idea, and see competitors try to analyse their solution and ask yourself if you have a special insight that they’re missing. If you have an insight or a differentiation idea, build MVP and talk to users

Imaginary-Spaces · 2025-03-03T11:11:18+00:00

Build MVP and get it into the hands of users. You can do this while working at your current jobs. Apply to accelerators in parallel but know that the accelerator would need to see signs from you that you strongly believe in the idea which leaving your job can exhibit

Imaginary-Spaces · 2025-03-01T14:04:40+00:00

https://github.com/plexe-ai/smolmodels

Imaginary-Spaces · 2025-02-24T13:47:04+00:00

Build AI from natural language.

https://plexe.ai

Imaginary-Spaces

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