Kesteral
  • Services
  • Work
  • Process
  • Pricing
  • Contact
Book a 15-minute call →
← Back home

WRITING

From the studio

Honest notes on scope, shipping, and building AI that holds up with real users.

Process

What actually fits in a 21-day MVP

The honest scope of an MVP, and the features I cut on every project so the deadline stays real.

Aug 12, 2026 · 5 min read

Studio

Why I build with one engineer instead of a team

Handoffs are where products die. Here's the case for one person owning the whole build.

Jul 28, 2026 · 4 min read

AI

Production AI vs demo AI

Most AI features break the moment a real user touches them. What it takes to ship AI that holds.

Jul 14, 2026 · 6 min read

Fine-tuning

Fine-Tune Llama 3.2 Vision-Language Model on Custom Datasets

How to fine-tune Meta's Llama 3.2 Vision model on a custom dataset — from environment setup to inference — using LoRA and Unsloth.

Mar 20, 2024 · 9 min read

Evaluation

A Beginner's Guide to Evaluating RAG Systems with LangSmith

Build a RAG pipeline with LangChain, then use LangSmith to measure correctness, faithfulness, retrieval quality, and hallucinations.

Mar 15, 2024 · 10 min read

Local LLMs

Running Multiple Open Source LLMs Locally with Ollama

Run Mistral, Llama2, and Llama3 on your own machine with Ollama — for privacy, lower latency, and full control over your models.

Mar 10, 2024 · 8 min read

RAG

Building Your Own LLM RAG Chatbot with Neo4j and LangChain

Build a RAG chatbot with Neo4j as a graph-backed knowledge store, LangChain as the NLP pipeline, and OpenAI's LLMs for generation.

Mar 5, 2024 · 11 min read

Kesteral

AI MVPs for founders moving fast.

  • Services
  • Process
  • Pricing
  • Contact
  • Blog
  • Privacy
  • LinkedIn

© 2026 Kesteral