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Selfship

AI AppsMLOps & Model DeploymentSubscription · GitHub

Selfship identifies and fixes AI agent failures by observing customer interactions, diagnosing issues, and proposing solutions via GitHub pull requests. It supports any LLM and framework, offering a closed improvement loop without pushing to default branches.

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Selfship is an innovative tool designed to enhance AI agent performance by identifying and rectifying failures in real-time. It observes customer interactions, diagnoses intent and failure patterns, and proposes solutions through GitHub pull requests. This process ensures that every fix is verified on live traffic, providing a seamless improvement loop without the need for manual ticketing or additional dashboards.

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The platform works with any LLM and agent framework, integrating easily with existing systems via TypeScript and Python SDKs. Users can sign in using GitHub, Google, or email, with GitHub being the recommended option for seamless integration. Selfship's pricing model includes a Base plan at $20 per month, offering 6,000 sessions with 120 days of data retention and a 14-day free trial. Additional session packs can be purchased for $20 each, while Enterprise plans offer custom sessions, retention, and compliance features.

Selfship is particularly beneficial for teams looking to reduce made-up answers, lower AI spend, and improve customer resolution rates. The setup process is straightforward, requiring a GitHub account and repository connection. Once set up, Selfship begins analyzing conversations and proposing fixes within the first week.

Security is a priority for Selfship, with customer data never used for model training and analysis conducted in ephemeral sandboxes. Enterprise plans offer additional compliance features such as HIPAA and SOC 2 Type II. Overall, Selfship provides a robust solution for AI agent improvement, ensuring that fixes are not only proposed but also verified in real-world scenarios.

  • CategoryMLOps & Model Deployment
  • Pricing ModelSubscription
  • DeploymentCloud
  • PlatformsGitHub

  • Observes customer interactions

  • Diagnoses intent and failure patterns

  • Proposes GitHub pull requests

  • Works with any LLM and framework

  • Integrates via TypeScript and Python SDKs

  • 14-day free trial available

  • Enterprise compliance features

  • Data never used for model training

  1. Sign in: Use GitHub, Google, or email

  2. Create workspace: Set up in two minutes

  3. Connect GitHub: Link your repository

  4. Review fixes: Evaluate proposed pull requests

  5. Merge changes: Approve and implement solutions

  6. Verify outcomes: Confirm fixes on live traffic

  • AI agent improvement
  • Cost reduction
  • Customer satisfaction
  • Real-time verification
  • Compliance management

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