We’re excited to share some big news—Wayfound has been named one of the top 10 observability platforms for AI agents to watch in 2025! Check out the full article on AI Agents Directory to see how we stack up against the competition.

What Makes Wayfound Stand Out?

Running an AI strategy can feel overwhelming. Between keeping track of performance, troubleshooting issues, and ensuring every agent stays on brand, it’s easy to lose sight of the bigger picture. That’s where Wayfound comes in. We built our platform to be your single hub for:

• Real-Time Monitoring: With Wayfound, you gain immediate insights into how your AI agents are performing. Our live analytics help you spot issues before they become problems.
• Actionable Feedback: Our real-time feedback loops let you tweak and optimize your agents on the fly. You can see what’s working—and what isn’t—so you can adjust quickly.
• Seamless Collaboration: Our platform isn’t just about watching metrics. It helps your agents work together better by enabling smart integrations and coordinated actions.
• Simplified Management: Forget about complicated setups or heavy engineering. With Wayfound, managing your AI agent ecosystem is straightforward and efficient.

Why This Recognition Matters

Being listed in the top 10 observability platforms for AI agents isn’t just a pat on the back—it’s a signal that our approach is resonating with experts and business owners alike. Here’s why our platform is getting the nod:

• User-Friendly Interface: We designed Wayfound with simplicity in mind. Even if you’re not a tech wizard, you can easily monitor and manage your agents.
• Action-Driven Insights: Unlike other tools that simply collect data, our platform translates that data into actionable insights. This means you’re not just watching numbers—you’re making informed decisions that boost performance.
• Scalability: Whether you’re managing a few agents or an entire network, Wayfound grows with your business. Our flexible system adapts to your needs, ensuring that your AI strategy stays both successful and manageable.

The Wayfound Advantage

Compared to other observability platforms, Wayfound truly cuts through the noise. Many solutions offer analytics, but few combine them with real-time control and collaboration tools. Here’s what sets us apart:

• Unified Dashboard: All your AI agents, insights, and controls in one place—no more switching between different tools.
• Continuous Improvement: Our platform is built for the long haul, giving you the tools you need to not only monitor but continuously enhance your AI agents.
• Ease of Use: We believe that great technology should be accessible. Wayfound’s intuitive design means you spend less time learning the tool and more time reaping its benefits.

Ready to Take Your AI Strategy to the Next Level?

At Wayfound, we’re all about making AI work for you—efficiently, effectively, and effortlessly. Our recent recognition is proof that we’re on the right track, but we’re just getting started. If you’re looking to supercharge your AI agents and keep your business ahead of the curve, give us a try.

Visit wayfound.ai/ to learn more, or get in touch for a demo and see firsthand how Wayfound can transform your AI strategy.

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Wayfound has achieved a significant advancement in AI agent management by successfully implementing OpenAI's o1 series of models in our latest platform update. While most companies are still evaluating o1's potential, we've already transformed our AI Manager platform with its advanced reasoning capabilities. Our latest update fundamentally improves how our customers can monitor, evaluate, and enhance their AI agents at scale.

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Key Improvements:

• Enhanced accuracy in evaluating AI agent performance
• More nuanced understanding of agents’ interactions with users
• Simplified system architecture with improved capabilities
• Consolidated complex analysis tasks into streamlined operations

Our Path to o1

Our AI Manager platform has consistently pushed the boundaries of what's possible with LLMs.. As we expanded our vision for AI agent management and introduced more sophisticated features, we encountered inherent limitations in previous model architectures. Managing AI agents demands processing complex, interconnected information - from interaction contexts to business guidelines and user satisfaction metrics - and making nuanced judgments about performance and improvement opportunities.

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These requirements pushed previous generation models to their limits. To extend their capabilities, we developed increasingly sophisticated but cumbersome solutions. Our engineering team separated analysis into multiple discrete steps, implementing conditional logic to coordinate multiple model calls. We maintained an expanding set of edge cases to handle new scenarios as they emerged. With earlier models, each new feature required exponentially more engineering effort to implement.

A Breakthrough Moment with Reasoning

Upon gaining access to OpenAI's o1 series, we immediately tested its potential for the Wayfound AI Manager by running it with o1-mini. The results were transformative. Within hours, we discovered that tasks requiring complex orchestration between multiple AI jobs could now be handled elegantly through single model calls. Making the switch to o1-mini from 4o allowed us to reduce the number of prompts five-fold.

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The advantages of the latest models' reasoning capabilities became immediately clear:

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• Complex multi-step processes could be consolidated into comprehensive, single-pass analyses, processing complete conversation context, guidelines, and parameters simultaneously
• The model demonstrated a nuanced understanding of context that previously required extensive human guidance
• The AI Manager’s accuracy in detecting guideline violations and edge cases improved significantly

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o1-mini's reasoning capabilities resolved fundamental technical challenges in our vision for scalable and trustworthy agent management. Most notably, the model update enabled us to significantly simplify the underlying logic behind our platform’s analytics while enhancing its capabilities. While o1-mini has higher per-token costs than previous models, its ability to consolidate multiple operations into single, comprehensive analyses helps manage overall costs effectively.

Looking Forward

This transition represents more than a technical upgrade–it fundamentally changes how we approach AI-powered products. Rather than building complex systems to work around model limitations, we can now leverage the latest o1’s reasoning capabilities to focus on delivering value to our customers. We believe this marks just the beginning of what's possible with o1 in production.

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If you're interested in seeing how AI management with reasoning can transform your AI operations, we invite you to experience the Wayfound Manager in action. Our platform now offers unprecedented insight and control over your AI agents, powered by one of the most advanced AI models available.

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We're proud to be among the first companies to apply o1 in production, and we're committed to maintaining our position at the forefront of AI technology by using state-of-the-art models. This commitment aligns with our mission: Trust in Intelligence. Learn more about how Wayfound's o1-powered manager can help you scale and improve your AI agents by contacting us today.

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Demo: A New Standard for AI Agent Management

To demonstrate how LLM reasoning capabilities enhance AI agent evaluation, we tested the updated AI Manager’s evaluation of an AI agent on Wayfound. Here, we’ll look at how our platform evaluates the "AI Agent Expert," an agent designed to help teams successfully build and deploy their own AI agents. The depth and nuance of these evaluations highlight why reasoning capabilities are crucial for effective AI agent management.

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Like any agent connected to Wayfound, the AI Agent Expert is assigned a role and goal by the user:

The agent is also evaluated against specific behavioral guidelines:

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During its assessment of the AI Agent Expert, the AI Manager identified several noteworthy interactions. In one conversation, it detected where the agent's response conflicted with established guidelines:

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In a separate interaction, the AI Manager uncovered a significant knowledge gap:

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The Wayfound platform enables continuous refinement of the AI Manager's evaluations through user feedback, now leveraging o1's sophisticated reasoning to incorporate this feedback with greater nuance. For instance, when the agent didn't schedule a demo during an interaction, the AI Manager initially flagged this as a guideline violation. However, after receiving user feedback that this wasn't a critical issue, the AI Manager adjusted its evaluation criteria accordingly:

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In Wayfound, these findings are collected into a comprehensive Manager Report for each agent on the platform. Users can receive these findings in real time through email alerts, giving you more confidence and control over your agents’ performance.

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