How Wayfound's MCP Speeds Up Agent Deployment
Imagine The Possible
Imagine software that adapts to your user behavior. The software is self healing by optimizing performance based on every real-world interaction.
Sounds like a futuristic fantasy? It's not.
Wayfound makes this a reality today. We empower your AI Agent builder with the crucial user analytics needed to guarantee your AI agent consistently performs at its peak within your organization.
What is Wayfound?
Wayfound is an agent success platform that actively monitors your agent/user interactions and provides you with actionable insights to ensure that your agent is always running at the top of their game. This includes identifying knowledge gaps, understanding low user ratings, agent tool call metrics, and violations of your agent’s guidelines.
With Wayfound’s MCP Server support you can seamlessly incorporate these insights into your agent build process.
How does this work?
The typical product lifecycle has a build, deploy, learn, re-build, deploy cycle:
- The product team has a business problem to solve. After research is complete they set the requirements and acceptance criteria needed to build a feature that addresses the business problem while at the same time meets the user requirements.
- These requirements are implemented by the engineering team and the changes are approved by the product team during acceptance testing.
- The feature is released and the learning phase begins. The product team relies quantitative and qualitative feedback on the feature to validate the assumptions they made and verify the business metrics are moving in the desired direction.
- The product team integrates all of this feedback and creates new requirements for the engineering team to implement in their next release of the software.
The primary problems with this workflow are:
- It’s inevitable that any new product will always have incomplete assumptions and requirements.
- The customer experience is locked in until the next iteration of the software is released. This software release is blocked on:
- Instrumenting, collecting, and analyzing the analytics needed for the product team to measure the effectiveness of the new feature.
- Defining new requirements based on the user learnings from the last cycle.
- Implementing the new requirements for the next release.
AI enabled software development techniques drastically reduce this iteration cycle by:
- Automating the delivery of customer usage data into the build process.
- Enabling an AI Coding Agent to make decisions based on the customer usage data to influence what is built. The final changes are approved by the product team during acceptance testing prior to release.
Wayfound is an agent success platform that enables the product team (business owners) to specify their agent acceptance criteria and deliver user-informed corrective actions to the engineering team.
Wayfound incorporated into an agentic development workflow will enable you to drastically shorten this product life cycle because Wayfound is gathering the analytics and relaying the technical remediation steps via MCP.
How to Setup with Cursor
- Add Wayfound as an MCP Server in Cursor
- Incorporate a prompt in your regular development cycle to incorporate the latest Agent improvement suggestions into the agent code base
How to get started?
Set up some time with us to discuss how we can work with you to ensure your agents are working the best way possible.
Learn more about Wayfound MCP here.