How a Pillowcase system works.
You don't need to understand the technology to work with us. But if you want to know what happens behind the scenes — here it is.
Three layers: knowledge, rules, tools.
Behind every Pillowcase system is a structured agent environment. What matters to you isn't the technical name but the result: a system that prepares work and makes it traceable.
If you want the details, here's the structure.
The three layers
Layer 1 — Knowledge (knowledge base)
The foundation. The agent works only with documents you've approved: manuals, guidelines, contracts, templates, notes. Not your entire archive — only what you've explicitly selected.
The knowledge base is searchable via a RAG core (Retrieval-Augmented Generation): the agent searches your documents for relevant passages and answers with source references. If it finds nothing, it says so — it invents nothing.
Layer 2 — Rules and approvals
The agent acts by rules we define together. Which topics are sensitive? Which answers may be drafted automatically? Who approves? When is escalation triggered?
These rules aren't rigid — they adapt anytime your requirements change.
Layer 3 — Tools and log
The agent has tools: search, classification, draft creation. Every use is logged. You can reconstruct at any time what the agent did, when, and why.
Knowledge search with sources — not invented answers.
The heart of the knowledge base is the RAG core. "RAG" stands for Retrieval-Augmented Generation — a technical term for something simple:
The agent doesn't answer from memory, but from your documents. It finds the relevant passage, shows it, and says where it sits. If no suitable source exists, it admits: "I don't know that."
That's the difference between an agent that hallucinates and one you can trust.
Example
Separate systems. No shared data.
Every Pillowcase customer gets their own environment. Your data isn't shared with others. Systems are operated to German and European data protection standards.
Separate per customer
Every customer = own environment
GDPR-aware
Planned to European standards
No full-archive access
Only approved documents
Agent log
Every step traceable
The stack (if you want the details)
For the technically interested — others can skip this section.
Technical overview
Agent framework
Hermes (open source)
Knowledge search
RAG core with vector search (Qdrant)
Language models
Configurable, depending on requirements and data protection
Backend
FastAPI + PostgreSQL
Infrastructure
Docker, on own or customer infrastructure
Logging
Complete agent log for every step
This is the product stack, not the website stack. The website is an Astro static site with TypeScript and Tailwind CSS.
Questions about the technology? Let's talk.
Technical details are best clarified in the Free AI Review. If you have questions in advance, write to us.