Knowledge Base

Expert Articles Alchemia Studio

Expert materials on AI product development: how we build AI agents, RAG systems and SaaS platforms — with real architecture, technology decisions and examples.

Knowledge Base

Technical articles written by our AI product engineers. No generic content — only architecture and decisions from production AI products.

AI Development

What Is an AI Product Studio and How Does It Build AI Products?

An AI Product Studio designs, engineers and ships production-ready AI products — AI agents, RAG systems and SaaS. Here is how Alchemia Studio works end to end.

9 min readAugust 4, 2026

AI Agents

How We Build AI Agents for Real Business Workflows

AI agents are not chat widgets. How we engineer agents with roles, tools and guardrails for real business workflows — from mapping the process to production.

10 min readAugust 4, 2026

RAG & LLM

RAG Architecture: When to Use Retrieval Augmented Generation

RAG grounds LLM answers in your own data — but only when the architecture is right. When to use retrieval over fine-tuning, and how we design RAG pipelines.

9 min readAugust 4, 2026

AI SaaS

From AI Prototype to Production-Ready SaaS

A demo proves value, production makes money. What it takes to turn an AI prototype into a production SaaS: evaluation, cost control, guardrails and architecture.

11 min readAugust 4, 2026

AI SaaS

Building AI SaaS Products with LLM Architecture

The architecture of an AI SaaS: orchestration patterns, retrieval, cost and latency trade-offs, tenant isolation and the evaluation loop that keeps quality stable.

10 min readAugust 4, 2026

AI Automation

AI Automation: How to Automate Business Processes with AI

AI automation is process engineering plus AI: how to find the processes worth automating, score opportunities and build workflows with human approval gates.

9 min readAugust 4, 2026

Product Engineering

AI Product Engineering: How to Build Reliable AI Products

AI product engineering is software engineering for non-deterministic systems: evaluation loops, guardrails, observability and cost control that keep LLM products reliable in production.

9 min readAugust 4, 2026

AI Agents

How Much Does It Cost to Build an AI Agent?

What you actually pay for when building an AI agent: workflow mapping, agent roles, integrations, model routing, evaluation and maintenance. The cost factors, explained without fixed prices.

8 min readAugust 4, 2026

AI Agents

AI Agents vs Chatbots: What's the Difference?

Chatbot, AI assistant or autonomous agent — where the line is, when each approach is right, and how to choose based on your workflow, not the hype.

8 min readAugust 4, 2026

RAG & LLM

Building Private AI Knowledge Bases with RAG

How to build a corporate AI knowledge base with RAG: document ingestion, chunking, embeddings, retrieval, permissions and security — grounded answers on private data, not on a public model.

9 min readAugust 4, 2026

AI Automation

AI Automation for Business Processes: From Manual Tasks to Intelligent Workflows

The lifecycle of AI automation: workflow analysis, opportunity scoring, workflow engines with human approval, and monitoring in production. From manual operations to intelligent workflows.

9 min readAugust 4, 2026

AI SaaS

How to Build an AI SaaS MVP

From idea validation to production readiness: architecture, the AI layer, backend, scaling and what actually makes an AI SaaS MVP shippable.

9 min readAugust 4, 2026

Presentations

Materials for a quick introduction to the studio and our process.

Studio Brief

Full Alchemia Studio presentation: approach, products, technologies, development process.

Open presentation

Client Deck

Short commercial presentation for potential clients: problems, solutions, approach.

Open presentation