Aniket Kulkarni
Aniket Kulkarni is the founder of Curlscape, an AI consulting firm that helps companies build and ship production AI systems. With experience spanning voice agents, LLM evaluation harnesses, and bespoke AI solutions, he works at the intersection of engineering and applied machine learning. He writes about practical AI implementation, model selection, and the tools shaping the AI ecosystem.
Articles by Aniket Kulkarni
Surrogate models: where millisecond predictions can be trusted
A surrogate trained on a few hundred solver runs predicts your quantity of interest in milliseconds. It is reliable inside the envelope you sampled, and not outside it.
Automation without verification just ships wrong answers faster
A sign-convention error flipped a force-and-torque result in an automated simulation study. A verification agent caught it before the report shipped.
Mistral API Pricing 2026: The Overlooked Budget Powerhouse
July 2026 Mistral API pricing for every model — text, reasoning, code, vision, voice, and OCR — up to ~90% cheaper than OpenAI and Anthropic. See the breakdown.
Google Gemini API Pricing Guide 2026: Flash, Pro, and Vertex AI
Current Google Gemini API pricing for 2026: Gemini 3 generation (3.1 Pro, 3.5 Flash, 3.1 Flash-Lite), what changed since 2.5, image generation with Nano Banana, and how Vertex AI costs compare.
Anthropic Claude API Pricing Guide 2026: Opus, Sonnet, and Haiku Compared
Complete Anthropic Claude API pricing for March 2026. Compare Opus, Sonnet 4.6, and Haiku 4.5 with batch discounts, prompt caching savings, rate limits, and real-world cost breakdowns.
OpenAI API Pricing Guide 2026: Every Model Compared
Every OpenAI API model priced and compared for 2026, from GPT-5.2 to o4 Mini. Includes real-world cost calculations for chatbots, pipelines, and more.
The Hidden Math of Text: A Guide to Quantitative Analysis
Analyze text quantitatively without LLMs — character distributions, structural patterns, and information density: the measurable statistical story in every document.
Fine-Tune an LLM to Mask PII in 2 Hours with Axolotl — Step-by-Step Tutorial
Learn to fine-tune an LLM for PII redaction using Axolotl and Modal. Step-by-step tutorial covering QLoRA, dataset preparation, and production deployment for GDPR compliance.
OpenAI vs Gemini vs Claude: Complete API Pricing Comparison (2026)
Compare API costs for OpenAI GPT-5, Google Gemini, and open-source models. See real pricing per 1M tokens, cost breakdowns for 1M document inference, and when self-hosting saves 5x.
Full-Text Search at Scale: PostgreSQL vs Elasticsearch vs Vector Search (2026)
Compare full-text search solutions for large datasets: PostgreSQL, Elasticsearch, DuckDB, and vector search. Benchmarks on 3.8M rows with BM25, query latency comparisons, and production implementation tips.
How to create a MCP Server - An Introduction using SEC EDGAR API
Step-by-step tutorial on building an MCP server using the SEC EDGAR full-text search API. Learn how to expose tools to LLMs and build AI agents with the Model Context Protocol.
Some Initial Thoughts on Llama 4 Models
Meta's Llama 4 Scout and Maverick models bring 10M token context windows and open weights. We break down the hardware requirements, practical use cases, and cost advantages over GPT-class models.
How to build Text2SQL Agent using MCP
Build a Text2SQL agent using the Model Context Protocol and a Postgres MCP server. Includes code walkthrough, Northwind database testing results, and comparison with LangGraph.