The Chanl Blog
Insights on building, connecting, and monitoring AI agents for customer experience — from the teams shipping them.
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76 articles · Page 2 of 7
The MCP Marketplace Problem: Why Standardized Integrations Need Standardized Testing
5,800+ MCP servers, 43% with injection flaws. Standardized protocol doesn't mean standardized quality. Why every MCP integration needs automated testing.
Prompt Engineering Is Dead. Long Live Prompt Management.
Why production AI teams need version control, A/B testing, and rollback for prompts — not just clever writing. The craft has changed.
Real-Time Monitoring for AI Agents: What to Watch and When to Panic
What dashboards actually matter for production AI agents. Alert fatigue, anomaly detection, and the metrics that predict failures before customers notice.
Scenario Testing: The QA Strategy That Catches What Unit Tests Miss
Discover how synthetic test conversations catch edge cases that unit tests miss. Personas, adversarial scenarios, and regression testing for AI agents.
Scorecards vs. Vibes: How to Actually Measure AI Agent Quality
Most teams 'feel' their AI agent is good. Here's how to build structured scoring with rubrics, automated grading, and regression detection that holds up.
The Tool Explosion: Managing 50+ Agent Tools Without Losing Your Mind
As agents get more capable, tool sprawl becomes a real operational problem. Here's how to organize, test, and monitor function calling at scale before it breaks in production.
AI Agent Memory: Build Your Own or Buy Off the Shelf?
Comparing Mem0, Zep, Letta, and custom memory for AI agents. We break down architecture trade-offs, compliance risks, and when each approach makes sense.
How AI Trains Humans: The Personalized Learning Revolution That's Transforming Education
Industry research reveals AI-powered personalized learning increases retention by 40-60% and reduces training time by 30-50%. Discover how AI is revolutionizing human training across enterprises.
The Edge AI Breakthrough: How Local Processing Is Solving Voice AI Privacy and Latency Issues
Discover how edge computing is transforming voice AI deployments by reducing latency, enhancing privacy, and enabling offline functionality for enterprise applications.
The Emotional Intelligence Revolution: How Voice AI Is Learning to Read Customer Sentiment
Explore how advances in emotional AI are enabling voice systems to detect sentiment, adapt responses, and deliver empathetic customer experiences at scale.
The Multilingual Voice AI Challenge: Breaking Language Barriers While Maintaining Quality
Explore the technical complexities of multilingual voice AI including accent adaptation, cultural context, and quality assurance across languages.
Multimodal Voice AI Revolution: How GPT-5 and Claude Sonnet 4.5 Are Transforming Conversational Interfaces
Explore how the latest multimodal AI models from OpenAI and Anthropic are revolutionizing voice interfaces by combining vision, text, and audio understanding.
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