ALGO - Interface for working with AI
Software for working with multiple AI systems and teamwork
33 followers
Software for working with multiple AI systems and teamwork
33 followers
One Dashboard. All AI Models. Real Collaboration. Stop switching between ChatGPT, Claude, Gemini, and others. Access 300+ AI models from a single interface. Use DAPITA Mode to send data from different chats and folders into one chat or multiple models at once. Use Meeting Mode during chat to get clarification from other models. Use Chat-in-Chat to discuss AI responses with your live team. All in one interface. Team working.
@volshish Congrats! Many multi-model dashboards feel like “model switchers”, but your focus on team collaboration + context continuity is interesting.
What would you say is the key differentiator vs typical “all-model-in-one” tools—DAPITA Mode’s context aggregation, or the team chat-in-chat workflow?
@rubyyyy Thanks! I believe these two things are essential in today's world. In most cases, a new context window requires history from different chats or files, and a mod has been created to address this issue. Regarding teamwork, I've spoken with many teams and tried to implement exactly what's needed—a shared context window where several people can work and essentially conduct a dialogue with the AI, contribute to the result, and simultaneously communicate with each other. To achieve this, I used drag-and-drop AI responses. This means you simply drag and drop a response, code, or image from the AI ​​response into another chat, and you discuss what can be done with it, improve the prompt, or pass it on to another model. Afterwards, in the same chat, you can easily forward the notification to another model for some kind of conclusion. I tried to implement personal work, teamwork, and the problem of files with context windows all in one. I think it turned out well, but I'd like real users to share their experience. By the way. I also made sending a message in chat a cool feature without a context window. This means you can work with Claude on the code and, within the same context window, send one message, for example, to Nana Bananau, so she can generate a logo for you, and then continue working with Claude with a response from Nana Banana.
Hi,
I looked at your launch and saw a familiar theme in how the core value is positioned. The message focuses on aggregating AI models and team workflows, but it doesn’t yet tie that to a clear business outcome that drives conversion.
Many founders I work with try to stack features up front and end up with something that reads as capability-centric, not impact-centric, leaving visitors unsure what results they can expect and why it’s crucial to act now.
If you want, I can walk you through the key points blocking stronger conversion and recommend changes that clarify value and prioritise outcomes that matter (time saved, cost reduced, adoption by teams). I do this as a paid, focused review with clear recommendations, not a broad audit.
Would you be open to a short walkthrough?
Best,
Paul
@paul91z Thank you very much for your offer Paul, perhaps I will contact you later when the project moves into the active sales stage
@volshish Thanks for the note! That makes sense.
Just to clarify for context: most teams I work with bring me in before active sales, specifically to tighten the landing narrative so demand converts once traffic and outreach ramp up. That’s usually where small messaging gaps become expensive later.
No pressure either way. If you reach a point where you want a fast, focused outside read on what might block conversion when sales start, feel free to reach out.
Wishing you a smooth build phase.
The 'Chat-in-Chat' feature for discussing AI responses with the team sounds like a game-changer for group projects. I wonder if everyone on the team can see the AI's response in real-time, or if we have to take turns prompting the models.
@theaxx Hello! You can test it.All team can be on one chat with AI, send requests to ai and on the same time they can speak on chat-in-chat, share ai messages to make discussion on chat in chat.