AI agents with Mobile Application

How does one make an mobile app where it performs all the tasks with minimum costs required.

What are AI agents and how can they be integrated in a mobile app?

AI agents or conversational agents are machine learning models that can interact with users through natural language to assist them with various tasks or provide personalized responses. These agents typically use techniques such as supervised, unsupervised, reinforcement learning, and deep learning.

As you work through this process, remember that it is not possible to create an "all-in-one" mobile app where all tasks are performed with minimal cost. The cost of developing a mobile application can vary widely based on factors such as the complexity of the app, the tools and technologies used, and the number of developers involved.

Setting up Tools

Automation tool

N8n is a low-code tool that helps users automate tasks and processes across different applications and services. It's an open-source platform that's popular with developers and technically skilled users. It can be self hosted which i am doing through docker or you can use their cloud.

Ollama Server

Ollama stands for (Omni-Layer Learning Language Acquisition Model), a novel approach to machine learning that promises to redefine how we perceive language acquisition and natural language processing. Key features include local execution and seemless integration.

Core Development

Backend Technologies Used

  • Hono is the currently the best typescript backend layer out there and has an integration with Next.js api routes

  • Drizzle with Supabase Postgres Backend.
  • Self hosted Mini IO S3 Bucket

Using the magic of docker i had comfortably self hosted ollama and n8n, then went for the next js project for api development for the frontend application.

Setting Up the Expo React Native Project

How does text streaming work in React Native Apps?

I was thinking it would be a piece of cake but the problem i started facing was the response of the text stream was not natively supported in IOS or Android. TextStreams work great on web but it starts erroring in react native projects. I am still finding a workaround.

The hardest part in this app is making it scale to thousands of requests. Which we will focus on for a later blog, right now i have to setup the frontend correctly.

I would like to finish this blog with some optimism that it will be easier than expected to create any app which takes in users chat input and turns it into an event which will trigger other tools operations to continue. In the end that is the backbone of most functioning ai agents.