FastAPI vs Express: choosing a backend for an AI product
Choose FastAPI when your AI product leans on Python ML libraries, and Express with TypeScript when your team and frontend already live in the JavaScript world.
Read more →Blogs
Plain-English guides for founders, teams and traders planning an AI assistant, a backend, a Next.js app or an MT4/MT5 Expert Advisor, by Bijon Kumar Pramanik.
How to backtest an Expert Advisor in the MT5 Strategy Tester without fooling yourself
Backtest an MT5 Expert Advisor honestly: use real ticks, realistic costs, out-of-sample and forward data, and read drawdown and trade count, not just profit.
Read more →How to build an AI agent with tool use on the Claude API (Python)
Build a Python AI agent on the Claude API: define tools with JSON Schema, run the tool-use loop, return results, and handle errors and stop reasons safely.
Read more →How to build an AI phone agent with Twilio and FastAPI
Build an AI phone agent by pointing a Twilio number at a FastAPI webhook that returns TwiML, reads the caller's speech and replies with text from your LLM.
Read more →How to deploy a FastAPI app on AWS EC2 with Docker and Nginx
Deploy FastAPI on AWS EC2 by running it in a Docker container with Uvicorn, putting Nginx in front as a reverse proxy, and adding free HTTPS with Certbot.
Read more →How to make a Next.js site visible to AI search engines
Make a Next.js site visible to AI search: server-render HTML, allow AI crawlers in robots.ts, add a sitemap, llms.txt and JSON-LD, then submit to Bing.
Read more →How to stream Claude API responses in a Next.js chat app
Stream Claude's reply word by word in a Next.js App Router chat: a route handler with the Anthropic TypeScript SDK and a React client that reads the stream.
Read more →How to test an LLM app against real conversations
Test an LLM app by turning real, anonymized conversations into an eval set, scoring each reply with clear checks, and rerunning it on every prompt change.
Read more →OpenAI, Claude or Llama 3: how to choose an LLM for your product
How to choose between OpenAI, Claude and Llama 3 for a product: compare quality on your task, cost per completed task, latency, privacy and hosting, then test.
Read more →Prompt engineering for production chatbots: a practical checklist
A production chatbot prompt needs a clear role and scope, grounding in retrieved context, a fixed output format, an "I don't know" rule, versioning and tests.
Read more →RAG vs fine-tuning: which one does your AI app need?
Use RAG when your AI app needs current facts and citations from your documents. Use fine-tuning when it needs a fixed style, format or narrow behavior.
Read more →Risk-based position sizing in MQL5 (with code)
Size MQL5 trades by risk: lots = risk money / (stop distance in ticks x tick value), rounded down to the volume step, with a full MQL5 function.
Read more →Selenium vs Puppeteer: which to use for scraping and browser automation
Use Selenium for multi-language, multi-browser automation and Python projects; use Puppeteer for fast Chrome automation, scraping and PDF generation in Node.js.
Read more →What is an Expert Advisor? MT4 vs MT5 explained
An Expert Advisor is a program that trades automatically inside MetaTrader. Learn how EAs run, and how MT4 (MQL4) and MT5 (MQL5) differ in practice.
Read more →What is RAG? A practical guide to retrieval-augmented generation
RAG lets an LLM answer from your own documents by retrieving relevant chunks at question time and adding them to the prompt. Here is how it works and fails.
Read more →