Solving context loss and subscription bloat across multiple AI models

As our team expanded, we noticed a massive inefficiency in our daily AI workflow. Paying for separate $20/month seats for multiple tools like Claude and ChatGPT meant we were burning through budget for credits we barely used.

Even worse was context loss. Explaining the same project background to different models every time we switched tasks was a constant bottleneck.

We built ManyGPT to solve this for ourselves by bringing BYOK (Bring Your Own Key) cost efficiency alongside a central visual memory and shared team chat context.

We'd love to learn from other builders and teams here:

• How are you currently managing context continuity when switching between different AI models?

• Are you using BYOK setups to optimize API costs, or sticking to fixed monthly seats?

Would love to hear your thoughts and feedback!