46 Seconds Inside a 30-Second Webhook
A render call could take 46 seconds inside a webhook with a 30 second budget. The second finding turned out to be worse than the first one.
Notes from my AI practice: agentic coding, multi-agent architecture, SME use cases.
A render call could take 46 seconds inside a webhook with a 30 second budget. The second finding turned out to be worse than the first one.
One week after HACK_002: a real bug in the court deadline is fixed. New are a deadline calculator without AI, advice centres with contacts, and Turkish.
A script found the same work under eleven job titles. It turned into BewerbungsGenie, open as a public beta for Austria since 1 October 2026.
A family photo album made with coding agents: from a dictated prompt on Thursday evening to the first production deploy on Friday, and what is still missing.
HACK_002 recap from Vienna: the Pflegegeld-Prüfer, a care allowance checker, wins Track A1 but misses my advance target of 12 of 14 court cases. It gets 10.
Kleinunternehmer spans three laws in Austria. Why V2 kept exactly one column and reads the threshold from a date-gated value table.
Two hackathons in Vienna, one week apart, and the building only starts at the event. What I still get ready beforehand, and why my code stays home until then.
A bakeoff across 16 real receipts exposed a systematic factor-1000 error. Why a deterministic guard sits above the model, not inside it.
About 20 people paid for my product, not one of them twice. What the numbers actually say and why the gap sits in activation, not in acquisition.
One /discovery run, several parallel agents, a live-browser test: how I had my own website audited, and why a human still makes every final call.
My agents leave zombie processes behind that quietly eat my RAM. So I built myself a small macOS menu bar app that hunts them down and kills them off for me.
Sven is my personal AI raven: he folds mailboxes, calendar, CI and server status into one Morning Pulse in Discord. He proposes, I decide and publish.
I wanted a 35-second hero video. I built an 11-second loop instead: it loads faster, never shifts the layout, and lands the whole message in eleven seconds.
FeedFoundry renders my Instagram text deterministically from templates, BuilderBob posts on its own and learns from real engagement back into planning.
WalkAITalkie transcribes meetings fully on-device: minutes, action items and an email draft are built locally on your Mac, no cloud, unlike Otter or Granola.
Claude cuts my YouTube talks in the terminal: the agent proposes every cut, I approve, then it renders and uploads. One hundred percent local, no cloud.
How I turn my preparation document for a panel into audio with NotebookLM and listen to it on the way there – a small workflow that makes gaps audible.
Three Vienna appearances in two weeks: a career panel, a live session-orchestrator walkthrough, and a software architecture panel.
A 0 Euro, on-device assistant for macOS Mail.app: PII redaction before every LLM call, plus a silent macOS 26.5 bug that killed its fast SQLite query.
Three agents run around the clock: Sven scouts AI ideas, BuilderBob runs agenticbuilders.at with 19 cron jobs; session-orchestrator drives a gated coding loop.
An open-source multi-agent tool matures in 9 days across 18 sessions: from the /plan to /evolve lifecycle across four runtimes. What daily self-use made of it.
Established companies with approval processes lag on AI not from inertia, but due to a growing gap between what tools can do and what their structures allow.
A Whisper default replaced 13 minutes of my first real end-to-end transcript with a hallucination loop. The diagnosis, the fix and four transferable lessons.
AI-assisted development has shifted its bottleneck from writing code to judging it. Why verification now matters, from daily practice, not theory.
Qwen3.6-35B technically loaded on an M4 Pro 24 GB at 100% GPU, yet ran at 0.1 tokens per second. A quiet failure, five lessons and hardware recommendations.
After two months and 1,052 commits, my autonomous infrastructure's AI moved from OpenClaw to Hermes Agent by Nous Research. The learning loop decided it.
Two weeks after my first hackathon: 1st place at BitGN PAC 2026 at AI Factory Austria, Vienna. Autonomous AI agent, 104 tasks, 5 security layers, blind scoring.
CLOUD Act, GDPR, self-hosting: which AI stack fits your project? A practical framework with real costs and three reference scenarios.
At OpenClaw Hackathon Vienna, 150+ met at House of Innovation. Four people built an AI-powered B2B sales agent in one night, then made a video without sound.
After 3,000+ sessions with Claude Code: what prevents AI agents from drifting in long-running projects. CLAUDE.md, Rules, Session Handovers and Quality Gates.
A week of GitLab migration, n8n automations, an Instagram content pipeline, and the current limits of AI agents.
Three practical conclusions from the 2026 Gartner and HBR work-trend reports, viewed through my own work with AI agents.
A practical starting point for small and medium enterprises: choose one process, inspect the data, define a test, and keep a human decision point.
What sits between an AI prototype and daily use: data, failure handling, ownership, and deciding when an experiment has answered its question.