Develop a cost-effective, real-time talking avatar using your own GPU for lip-synced video.
Existing solutions for creating talking avatars, like Tavus and Lemonslice, are expensive and charge per minute of usage. This can be a barrier for those looking to integrate a visual component into their voice AI without incurring high costs.
Choose an image that you want to use for your talking avatar.
Use your GPU to create a real-time talking avatar based on the selected image.
Attach the avatar to your existing voice agent and generate a lip-synced video.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.
Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.