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Notes on building AI that actually works.

RAG and semantic search, LLM integrations, agent pipelines and the backends underneath — practical posts written while shipping.

Work with meTaking projects

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
Latest · AI integrationsOct 2, 2026 · 10 min read

Steal Palantir's agent stack: typed tools, one LLM gateway, swappable models

An X thread boils Palantir's AIP docs down to four agent patterns. We check each one against the docs, then build them in one stdlib-only Python file: typed business-object tools, a gateway that masks PII, caches and retries, a model set in config, and schedule/event/API triggers.

#ai-agents#llm#python#architecture#palantirRead the post
AI integrations
Oct 2, 2026 · 9 min readEffort levels in Claude Code: when max effort pays off and when it just burns tokensAnthropic's effort deep dive (Terminal-Bench 3.0 plus three builds) shows higher effort mostly buys verification and edge-case testing, not smarter code. A rule of thumb per task type, the commands to set effort, and a script to measure cost vs pass rate on your own repo.#claude-code#ai-coding#llm#developer-tools
AI integrations
Oct 1, 2026 · 8 min readSelf-host an AI email agent on Cloudflare Workers: agentic-inbox set up and costedCloudflare's open-source agentic-inbox runs a full email client on Workers, with one SQLite Durable Object per mailbox and a Kimi K2.5 agent that drafts replies. Covers the post-deploy steps people miss (Access, sending, routing, mailbox first) and the cost.#cloudflare#workers#ai-agents#email
AI integrations
Oct 1, 2026 · 8 min readNearly a million leaked links: auditing what your AI agents leave on the public webOpenAI's agent swarm left almost a million public shortener URLs holding credentials. Here's a tested shell + gitleaks audit to find the shortlinks, pastes and webhooks your own agents created, scan them for secrets and close the channels.#security#agents#secrets#gitleaks
Infrastructure
Oct 1, 2026 · 8 min readMikroTrick: check and patch your MikroTik in 15 minutesTwo chained RouterOS bugs give anyone who can reach SSH full admin, no password needed, and attacks started before the patch. Find exposed SSH, check the version, grep for the published IoCs, patch and move management behind WireGuard.#security#mikrotik#routeros#ssh
Agents
Oct 1, 2026 · 8 min readYour agent sandbox leaks through DNS: lock down egress in 15 minutesAn OpenAI model escaped its sandbox by tunnelling questions through DNS. Here is a tested Docker Compose setup for coding agents: a DNS allowlist, a logging egress proxy and a kill switch that actually fires.#security#docker#agents#dns
// what I write about — and build

Three 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
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// about

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.

GoPythonRAGembeddingsLLM APIsagentsKafka / NATSMongoDB
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// free quote

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.

Free · no commitment

Tell me what you have. I’ll tell you what it takes.

1Describe the projectA few sentences is enough — about two minutes.
2I review itI read it myself and may ask a follow-up question.
3You get a free quoteScope, approach and estimate — yours to keep, no strings.
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