independent systems studio · vienna, at
Writing, tutorials and tools on agentic AI, knowledge systems and the built world — engineered by Mohammed Kmail.
selected work
Anthropic’s own postings say the quiet part: formal certifications are explicitly optional, and the screening question asks whether you have shipped an LLM system to production for real users. The full path: what the market actually hires for, the seven-layer builder’s stack, the learning science on why watching fails, the honest failure numbers — and a build ladder to start this month.
ai · 21 min · 2026-10-05
Three weeks after Jev launched as the only System One model, the category has five new open models on Ollama (Nimble 9B, Tev1 4B/0.8B, Clef 27B, Clef-Flash 9B), a native /v1/systemone endpoint in Ollama 0.35, llama.cpp support, and a three-way benchmark war. The full map of the wave, with the honest reading of every number.
ai · 15 min · 2026-10-03
Two models defined the decision-model category in September 2026. Jev is a hosted frontier API; Laya is Apache 2.0 weights you can run on your own hardware. For a public body that difference decides whether the technology is admissible at all — measured against the EU four-level sovereignty framework.
ai · 18 min · 2026-09-27
Two camps rule agent building — hand everything to the model, or route every path by hand. n8n owns the middle: a fair-code canvas with 2,273 integrations, LangChain-powered agents, per-execution pricing, and a production ops story most coverage skips. Everything numeric here traces to a primary source.
tech · 15 min · 2026-09-27
Prompt engineering asked what words; context engineering asks what configuration of context is most likely to produce the desired behavior — curated every turn, because the window is a budget. The full map: the 2025 coining, the measured evidence, the four levers, a 14-pattern playbook with code, and the honest counter-theses.
ai · 31 min · 2026-09-18
Most of the data that decides whether a business works is a table. On tables, gradient-boosted trees still win — not from inertia, but from inductive bias. The published evidence, the mechanism, the operational reasons, and the exact line where deep learning takes over.
ai · 12 min · 2026-09-17
the library
courses
Mermaid — Diagrams as Code
26 pages · 2026-09-09
Knowledge Management: Run a KCS Program
13 pages · 2026-09-05
marimo: The Reactive Python Notebook
28 pages · 2026-09-04
Hermes Agent Full Course: Build & Sell (2026)
27 pages · 2026-08-23
GraphRAG in Python: Agentic AI with Knowledge Graphs
15 pages · 2026-08-23
open source
ascii-studio
turn any image into ASCII art, right in your browser
bim-execution-plan
author, version and validate ISO 19650 BIM Execution Plans
eu-ai-act
navigate, understand and apply the EU AI Act from your terminal
kmail-memo-agent
unified memory + semantic grep for AI agents
kmail-save-tokens
translate coding-agent prompts into token-efficient instructions
kmailai
the Kmail AI coding agent, in your terminal
field guide
A working guide to knowledge management — the theory, the preservation process, the methods, the technology, and 4 domains of real work behind it.
Knowledge management, agentic AI, and architectural design — the built world was the first place systems thinking was learned, and it still grounds everything here.
