---
title: "AI development articles - The Zeroic Journal"
description: "Field-tested writing on AI product architecture, LLM pipelines, RAG, agents, evals, and model choice - by senior engineers at Zeroic."
url: https://zeroic.in/blog/topic/ai-development
---

[The Zeroic Journal](https://zeroic.in/blog)

# The AI desk

AI development · 4 pieces

How we build AI products that hold up in production: text-to-SQL, vector search, voice agents and the architecture around them. Written from systems we run - FormulaBot / Better Analyst at 1.5M+ users, and voice, chat and data agents live with paying customers.

[ AI development

## [GPT vs Claude vs Llama in production: choose by task type](https://zeroic.in/blog/gpt-vs-claude-vs-llama-production)

Four kinds of LLM work, the model tier that wins each one, and the volume at which running open weights yourself starts to make sense.

Prashant Abbi Sep 29, 2026 · 8 min read

[ AI development

## [AI voice agent architecture: the four parts that decide if it ships](https://zeroic.in/blog/ai-voice-agent-architecture)

Where each layer of a production voice agent breaks on live phone calls, and the order we'd build them in, from voice agents we run in production.

Prashant Abbi Sep 27, 2026 · 10 min read

[ AI development

## [pgvector vs Pinecone: when Postgres stops being enough](https://zeroic.in/blog/pgvector-vs-pinecone)

The four signals that tell you pgvector has hit its limit, and the fixes to try inside Postgres before you pay for a second database.

Prashant Abbi Sep 23, 2026 · 8 min read

[ AI development

## [English-to-SQL at a million users: what breaks, in order](https://zeroic.in/blog/english-to-sql-at-1m-users)

The five things that broke as FormulaBot's English-to-SQL pipeline grew to 1.5M+ users, and the order we'd build the fixes in.

Prashant Abbi Sep 19, 2026 · 9 min read

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