Engineering Resources
Technical articles and engineering insights for building with Yess AI.
Technical Articles
Embracing the AI Slop
AI slop is inevitable. If you treat it as signal instead of noise, it becomes a reliable way to surface missing context, weak constraints, and process gaps.
Building Reliable Multi-Agent Workflows: Durable Execution with Validation Gates
Learn how to build production-ready agentic workflows with checkpointing, validation gates, and parallel execution using Temporal and Agno.
Autonomous Adaptive Analytics: Safe Agents that Analyze, Execute, and Explain
Build AI agents that detect issues, write code, self-heal, and deliver production-ready analysis in isolated sandboxes
Building Multi-Agent Sales Systems: A Developer's Guide to Agentic Workflows
Learn how to build production-grade multi-agent AI systems for sales with this comprehensive guide covering architecture patterns, implementation strategies, and best practices for agentic workflows.
Integrating Sales Engagement Platforms: API Best Practices
A comprehensive guide for developers on building robust scalable integrations for sales engagement platforms covering API architecture and best practices.
Context Is Not a Storage Unit: The Artifact Pattern for Scalable AI Agents
Your AI agent needs to analyze 50,000 Salesforce records. Loading them all into context would cost $500 and break the model. Here's how we solved it with the artifact pattern.