Insights from the Field
Written by Zypheri’s engineers and product builders, these notes share practical playbooks, proven architecture patterns, and KPI benchmarks drawn directly from client work. From early pilots to production-ready deployments, our insights reveal what truly works when building AI apps, agents, and automations for agencies and businesses.
Engagement Models
AI Agents & CX
Articles on conversational AI, customer experience flows and best practices for WhatsApp, web and voice agents.
Data & Dashboards
Guides on KPI selection, ETL/ELT design and delivering dashboards that drive decisions.
Make.com & n8n Patterns
Practical automation templates, integration notes and reliability patterns for real-world workflows.
Engineering Reliability
Posts on observability, testing, monitoring and the principles behind production-ready AI.
Case Notes
Short field notes and case snippets highlighting wins, lessons and metrics from Zypheri builds.
Featured Insights
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Why We Share These Notes
We don’t just ship softwarewe document patterns and KPIs so others can build faster, safer and smarter. By sharing real-world lessons, Zypheri helps both agencies and businesses avoid common pitfalls and accelerate value.
Practical Patterns
Actionable strategies tested in real-world builds, not theory.
Benchmark Metrics
Reliable KPIs you can measure your performance against.
Lessons Learned
Hard-won insights from production-ready AI deployments.
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