What does flAim do and what problem does it solve?
flAim is a multi-agent workspace that allows users to run and orchestrate multiple AI models from a single interface. It solves the problem of needing to switch between different AI chatbots by providing a shared context where models can be chained together for tasks like research, writing, and critique.
What features does flAim offer?
flAim offers a shared workspace with features like a managed catalog of AI models, side-by-side chat comparison, agent chaining for ordered handoffs, and real-time collaboration. It supports models including OpenAI, Claude, Gemini, DeepSeek, and Grok, with optional BYOK (Bring Your Own Key) on paid plans.
How is flAim priced?
flAim offers a free tier that starts with included AI credits. There are two paid upgrade tiers: Pro for $20 and Power for $40, which provide more credits, models, and collaboration features.
What is flAim used for and in what situations?
flAim is used for orchestrating workflows across multiple AI agents for tasks such as drafting launch plans, research, and writing. It is designed for situations where users want to compare model outputs side-by-side or chain multiple models together to achieve a stronger, more synthesized result.
Who is flAim for?
flAim is built for people who work across multiple AI models, not just one chatbot at a time. It is intended for users and teams who need to collaborate in real-time and orchestrate AI models for complex tasks.
What is flAim?
flAim is a multi-agent workspace for orchestrating AI models. It allows users to run, compare, and chain models like OpenAI, Claude, and Gemini in a single shared environment for collaborative work.