AI Context Flow
AI Context Flow is a cross-platform AI memory manager that stores user preferences, brand guidelines, and personal context in a universal bank. It eliminates the need to repeat instructions across different LLMs by injecting saved context directly into ChatGPT, Claude, Gemini, and Perplexity via a Chrome extension. This tool is designed for power users and prompt engineers who switch between multiple AI models and need consistent output without manual copying and pasting.
AI Context Flow Risk Assessment
HealthyAI Context Flow is a niche productivity tool for AI power users that solves the 'context repetition' problem across multiple LLMs. While the product concept is strong, the signal data reveals significant gaps in legal compliance, data privacy, and community support, making it a high-risk purchase for users handling sensitive brand or personal data.
- ·No SLA, no breach notification timeline, and no security attestations (SOC 2/ISO 27001).
- ·Poor community responsiveness; only 25% of complaint threads on Reddit received a team response in the last 60 days.
- ·No security.txt found and no CDN detected, suggesting a basic infrastructure setup.
- ·Privacy policy lacks GDPR-required user rights (access, deletion, portability) and specifies no data retention period, implying indefinite storage.
- ·Vague data collection language ('we may collect') and lack of a named subprocessor list.
- ·Backed by a grant from Oasis Protocol to implement privacy-preserving technology.
- ·Hosted on AWS, providing a baseline of enterprise-grade cloud stability.
- ·Clear value proposition for a specific high-value user segment (prompt engineers/power users).
AI Context Flow Pricing Plans
AI Context Flow at a Glance
AI Context Flow Integrations
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