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Insights From Builders

Deep dives on AI, software architecture, product development, and the industries we serve. Written by the engineers at Zyptr who build these systems every day.

AI & ML

Building Production-Grade AI Voice Agents: What 6 Months of Failures Taught Us

We spent six months building voice AI agents for customer support. Most of what we tried didn't work. Here's what finally did, and what we wish someone had told us upfront.

4 March 2024
9 min read
SaaS

Multi-Tenancy Deep Dive: Row-Level vs Schema vs Database Isolation

We've implemented all three multi-tenancy models in production SaaS products. Each has tradeoffs that become clear only under real-world conditions. Here's the full comparison.

26 February 2024
9 min read
AI & ML

The Hidden OpenAI API Costs That Killed Our Client's Budget (And How We Fixed It)

A client's OpenAI bill went from $400/month projected to $6,200/month actual. Here's every cost trap we found and the optimizations that brought it back under control.

19 February 2024
8 min read
Industry Insights

FinTech in India: UPI, NACH, and What Foreign Payment Providers Get Wrong

We've built payment integrations for eight FinTech products in India. Foreign payment providers consistently misunderstand the Indian payment ecosystem. Here's the reality.

12 February 2024
9 min read
AI & ML

Prompt Engineering Isn't a Skill Anymore — It's a System

Individual prompt crafting doesn't scale. We've moved to treating prompts as version-controlled, tested, evaluated infrastructure — and the results speak for themselves.

5 February 2024
7 min read
SaaS

The SaaS Architecture Decisions That Actually Matter at 0→100K Users

Most architecture advice assumes you're building for millions of users from day one. Here's what actually matters when you're going from launch to your first 100K users.

29 January 2024
8 min read
AI & ML

Fine-tuning vs RAG: We Tried Both. Here's When Each Actually Makes Sense

After implementing both fine-tuning and RAG across multiple client projects, we've developed a clear framework for choosing between them. It's not what most blog posts tell you.

22 January 2024
8 min read
AI & ML

Why Most AI Projects Die in Staging (and Never Make It to Production)

We've watched dozens of AI projects get stuck between a promising demo and actual production deployment. Here's what kills them and how to avoid the same fate.

8 January 2024
7 min read
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