I've been building my own AI workspace, and it's grown into something much bigger than I expected

A while ago, I started building an AI chat application because I wanted something more flexible than the usual AI chat interfaces. What started as a relatively simple project has gradually evolved into Teltaq. The idea behind it is simple: instead of having separate tools for AI chat, agents, workflows, tools, automation and model management, why not bring them together in one workspace? Some of the things I've been working on: Multi-model chat – Run multiple AI models in parallel and compare their responses. AI agents – Create and manage agents with their own instructions, models and tools. Workflows – Build reusable workflows for more structured tasks. App suites – Combine agents, workflows and interactive apps into complete solutions. Model flexibility – Connect different providers, including OpenAI, Anthropic, Ollama and other OpenAI-compatible providers. Local AI models – Support on-device models alongside cloud-based models. MCP integration – Host and connect MCP servers, including agents and workflows. Marketplace – Share and discover tools, agents, workflows and apps. Developer API – An OpenAI-compatible data plane API for integrating with external applications. Multi-platform – Web, desktop and mobile applications. One of the things I've particularly enjoyed is experimenting with ways to combine these capabilities. For example, rather than creating a completely separate application for every use case, you can build a suite that brings different AI components together. I'm still actively developing it, refining the architecture and improving the experience. I'm sharing it here because I'd genuinely like to hear what other people think. If you're interested, here's the project: https://www.teltaq.com What would you find most useful in an AI workspace like this? Is there something missing from the current AI platforms that you'd like to see?   submitted by   /u/Few_Bet_3086 [link]   [comments]