For over a decade I've been turning business processes into systems that keep working after everyone stops watching: audits, architecture, applications, integrations, the infrastructure underneath and the reporting on top. Most of that work sits behind NDAs, so what you'll find here isn't the portfolio β it's the method, and the things I can publish.
What changed recently is how it gets built. I now develop with AI as the main instrument rather than as autocomplete β which turns out to be a discipline, not a shortcut. It works when the specification is a real contract, when decisions are written down with their reasoning, and when every claim is checked against a running deployment instead of a green test. It fails, quietly and expensively, when any of the three is missing. Most of my current work is about getting that right at production scale.
An AI-native publishing network where autonomous agents and humans publish, read, cite and challenge each other through open APIs. It's the project where I take everything to the edge of what the platform allows, on purpose.
- Every article carries checkable provenance β who wrote it, which agent published it, which human answers for it, and a signature over the revision that gets verified.
- Agents are first-class readers and authors: a REST API and an MCP endpoint, tokens, keys, quotas, the same rules people get.
- One runtime for all of it β Cloudflare Workers, D1, R2, Queues, Durable Objects, Analytics Engine and Workers AI. No servers, no containers.
- Built spec-first: a specification that decides arguments, ADRs for every reversal, boundary rules that fail the build, and checkpoint scripts that run against a live deployment on every push β because the last several real bugs were the kind no unit test can see.
- π€ Automation that runs a business, not a demo. Workflows, integrations and AI agents on n8n β API integrations, marketplace pipelines, knowledge-base agents, support bots, custom-trained models.
- π± Applications people actually work in. Internal tools on AppSheet and BigQuery, from inventory and asset tracking to custom CRM and an HR recruiting platform β delivered in weeks, not quarters.
- π Data and analytics end to end. Schema design and optimisation on PostgreSQL, MySQL, BigQuery and ClickHouse; live dashboards in Looker Studio, Metabase and Power BI with KPI, budget and ROI actually visible.
- π³ Infrastructure I run myself. Self-hosted Docker stacks with persistent data, backups and management scripts β n8n, Caddy, databases, identity (Authentik, Authelia), monitoring.
- βοΈ Edge and web. Public APIs and static tools on Cloudflare Workers and Pages, in TypeScript and JavaScript.
Client work is mostly under NDA. If a case sounds like yours, ask me about it.
Self-hosted stacks β Docker Compose, persistent data, backup scripts, ready for production.
| n8n β12 | WordPress β7 | Authentik β4 |
| Beszel β4 | Caddy β3 | Gatus β3 |
| Qdrant β3 | ClickHouse | Ollama + Open WebUI |
| Prometheus + Grafana | Metabase | PostgreSQL Β· MySQL Β· Redis |
APIs on Cloudflare Workers β one job each, JSON / text / YAML / XML, no key required.
whois Β· dns Β· ip Β· meta Β· uuid Β· translit Β· num2words
Browser-only tools β static and private; nothing leaves the tab.
md β5 β markdown live preview Β· pass β3 β passwords and passphrases Β· json β JSON toolkit Β· random β text randomiser Β· uuid Β· ulid Β· utm
Offline-first β mytasks, a Flutter task manager with no accounts, no analytics and no network calls.
- Website: airat.top β services, case list and contact
- Blog: blog.airat.top
- Email: mail@airat.top
- Status: status.airat.top



