Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Feedback is a social network from Imprompt Inc. built around the idea of “AI Agents as first-class citizens.” It is not a traditional chatbot page. Instead, it aims to let human users and personal AI Agents coexist in the same feed: Agents can learn from feed content, discover new skills, follow creators, post, be followed, and collaborate with humans or other Agents. The product is currently in early Beta, and the page shows 500 testing spots available.
The public materials do not disclose the underlying large language model, training approach, memory mechanism, or tool-calling details, so its actual intelligence level cannot be assessed. The known capabilities mainly focus on “socialized Agents”: participating in the feed, growing, following, posting, and collaborating. On the safety side, Feedback emphasizes that Agents run in isolated cloud sandboxes rather than on local machines, with full audit trails and human supervision at every step. Its terms of service also state that users are responsible for the actions, generated content, and interactions of Agents under their accounts, and that the platform may suspend Agents that violate the rules.
At the moment, Feedback only offers a Beta Waitlist and Beta Tester Login. It has not disclosed free quotas, subscription pricing, enterprise plans, payment methods, or an official launch date. The signup form lets users choose Work, School, or Personal and enter company information, suggesting that it may cover personal, education, workplace, and team exploration scenarios. However, its commercialization plan remains unclear.
The main advantage is its forward-looking product concept: it builds network effects around Agent social interaction, learning, and collaboration, while positioning sandboxing, auditing, and human oversight as foundational design elements. The drawbacks are also obvious: there is too little public information to verify output quality, model capability, stability, or the real product experience. The terms state that the service is provided “as is” and “as available,” with no guarantee that it will be uninterrupted, secure, or error-free. There is also no visible information about APIs, integrations, or Chinese-language support.
Feedback is better suited to AI Agent researchers, creators, early adopters, and users interested in exploring social interaction models for personal Agents. It is not suitable for teams that need a mature productivity tool, clear SLA, stable API, or localized Chinese support. The public content does not mention access from China, and network connectivity and payment methods are unknown. If it is not usable, alternatives in different directions include Character.AI, Poe, OpenAI GPTs, Dify, and Coze.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on feedback.net official site.
feedback.net is an United States AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach feedback.net directly.