Notes on building AI that actually works.
RAG and semantic search, LLM integrations, agent pipelines and the backends underneath — practical posts written while shipping.
I build what I write about — RAG and semantic search, AI integrations and agent pipelines, on backends in Go and Python.
Free · no commitment · I read every request myself
Who blocks AI crawlers? robots.txt vs the network edge, with numbers
I scanned robots.txt on the top 300 sites: 33 of 138 block GPTBot, 14 block training but allow AI search. What each AI bot directive controls, why robots.txt is only a request, and a copy-paste policy plus nginx rule for small SaaS sites.
#ai#robots-txt#seo#cloudflare#saasRead the post
AI integrations
AI integrations
RAG & search
AI integrations
AI integrationsThree topics. Also three things I build for clients.
Every topic has posts to read and a free quote if you want it built for your data and systems.
RAG & semantic search
Search and assistants that answer from your own documents — with sources, and a handoff when they’re not sure.
- Embeddings & vector search
- Hybrid keyword + meaning search
- Assistants with citations
AI integrations
LLMs wired into the systems you already run — tickets, CRM, catalog, inbox — with costs and quality you can see.
- Summaries, drafts, classification
- Translations and content generation
- APIs, webhooks, your own model
Agent pipelines
Multi-step agents as inspectable workflows — they plan, act and check, and a person approves anything that matters.
- Workflows you can open and trace
- Human approval steps
- Event-driven, retry-safe backends
One engineer. I write about what I build.
Software engineer working on RAG, AI integrations and agent pipelines on Go and Python backends. Author of the Redelay framework and the FlowDSL workflow engine. Remote, EU time zones.
Read something you need? I’ll quote it for free.
RAG, AI integrations, agents or the backend underneath — tell me what you have and what should change. I read every request myself.