Frederik von der HeydenSoftware & AI Strategy
DE
System active | 204 Guards | 14 apps in production

Engineered
Intelligence

A self-crystallizing operating system for AI-driven software development. Architecture, vision, and execution by a dedicated team of human and system.

GRIP in 90 seconds
Kendra interviews GRIP: Guards, Reflexion, Integration, Pipeline.
▣

App Portfolio | 14 apps in production, 3 industries, 2 servers

Sales Hub
CRM für Club-Vertrieb (977 Clubs)
GolfMain Server
Admin Dashboard
Verwaltung aller Instanzen
GolfMain Server
Auth Provider
Zentraler SSO-Service
PlatformMain Server
Sponsoring API
REST API für Sponsoren
GolfMain Server
Cockpit
Remote-Zugriff auf das gesamte System
PlatformMain Server
Forma.Golf
Golf-Community-Plattform
GolfForma Server
Creator-OS
Chatbot-SaaS-Plattform
SaaSForma Server
Baumdienst
Voice Agent + Website (Prototyp)
TradesForma Server
WorkHub
White-Label Handwerks-App
TradesForma Server
0
Active Guards
8 security gates always on
0
Crystallized Rules
Distilled from agent experience
0
Knowledge Graph Nodes
5 repos connected
0k
Lines of Code
TypeScript | full-stack
Enforcement Rate96%
83 of 86 rules enforced automatically3 require human judgment
G

Guards | Governance

Every shell command, every file change, and every session end runs through automatic checks. 8 security gates fire on every command, non-negotiable. The remaining guards load based on context.

Security
30
Quality
27
Deployment
38
Git
57
Ticket/Support
34
Content/Style
32
R

Reflexion | Crystallization

When a mistake happens, it is not just fixed. The system extracts a rule from it. At score 4+ and at least 3 successful applications, the rule becomes permanently crystallized. 108 rules were created this way.

Stammdaten NIEMALS ändern
Incident: Test-Skript überschrieb Prod-Profile. Jetzt HARD BLOCK auf auth.users + profiles in allen Prod-DBs.
SECURITY | Score 5
Develop-Staging-Pflicht
Feature-Branch -> develop -> test -> main. Keine Ausnahme. Hook-erzwungen nach 2 Prod-Incidents.
DEPLOY | Score 5
PII-Gate für alle Env-Zugriffe
Secrets-Leak durch env/printenv-Output blockiert. Gate erkennt und stoppt bevor der Wert im Terminal erscheint.
SECURITY | Score 5
Exhaustive Testing Pflicht
Playwright-Verifikation vor jedem Commit. Kein "fertig" ohne bewiesenes Ergebnis.
QUALITY | Score 4
Vault vor Raten
IMMER Vault/RAG durchsuchen bevor Annahmen getroffen werden. Kristallisiert nach 3 vermeidbaren Fehlern.
REFLEXION | Score 4
!

Guard Activity | Live

Echtzeit-Simulation
I

Integration | Knowledge Graph + Single-Tenant

🔗Knowledge Graph (Graphify)
club-community12.859
golfschul-app5.041
monorepo3.581
forma-golf1.103
auth-provider94
Total nodes22.933
Impact analysis before every commit. Daily rebuild at 04:00 UTC.
🏗️Single-Tenant Architecture
DatabasesPhysically isolated
20
RLS PoliciesAdditional safeguard
639
Storage BucketsIsolated per tenant
Per tenant
GDPR Art. 17No residual risk
DROP DB
A deliberate choice: more infrastructure work, but zero sleepless nights.
P

Pipeline | Multi-Agent Orchestration

🎙
Voice Input
Browser mic
🔐
PII Anonymization
Names, addresses
🧠
LLM Chain
Claude | Mistral | Ollama
🔍
Cross-Review
Claude + Gemini
🛡
204 Guards
Pre + Post + Stop
🚀
Deploy
develop → main
🌐

LLM Resilience & GDPR | No vendor lock-in. Maximum data sovereignty.

Multi-LLM Architecture

If one model goes down, the next takes over. Minimal impact, maximum flexibility.

ClaudePrimary: Code, architecture, reviews
GeminiCross-review, verification
CodexAutonomous tasks, parallel agents
MistralLocal: PII checks, anonymization
OllamaLocal: RAG embeddings, classification
GDPR as System Architecture

External LLMs only ever work with anonymized data. Anonymization happens locally, is verified by a second model, and only then does data leave the European zone.

1
Local anonymization
Ollama/Mistral removes PII before processing
2
Verification
Second local model checks completeness
3
PII Gate
Guard blocks output containing real names
4
External LLMs
Only after 3-stage check, anonymized only
✓

System Status

Docker-Container
77 running
healthy
PostgreSQL-Instanzen
20 databases
connected
Obsidian Vault
7.901 Dateien
indexed
RAG-System
25.924 Chunks
ready
Ollama (lokal)
4 Modelle
loaded
Traefik Proxy
33 Domains
TLS ok
MCP-Server
7 aktiv
connected
Memory-System
193 Erinnerungen
synced
◆

Obsidian Vault | The Foundation

Not a note-taking tool. The central knowledge base everything is built on: every architecture decision, every incident, every crystallized rule, every domain model. No Vault, no GRIP.

0
Markdown files
0
RAG chunks
0
Cron jobs
0
MCP servers
Vault-First Workflow
Every action starts with a semantic search in the Vault. Read first, act second. Hook-enforced.
Session Documentation
Every work session is logged. Decisions, results, mistakes. Nothing is lost.
Domain Models
Every app has its own domain model in the Vault. Symptom indices for fast debugging.
⚡

Workflow Comparison | What GRIP changes

Standard AI Development
Guards
0
Memory
Session
Security
Manual
Quality
Hope
Learning
Never
With GRIP Framework
Guards
204
Memory
146 files
Security
8 gates
Quality
Proven
Learning
108 rules
◈

Productivity | 18 months in production (since December 2024)

0
Total commits
13 repos, one system
0
k lines of code
TypeScript + React
0
Apps in production
3 industries, 2 servers
0
Distilled rules
Crystallized from mistakes
Commits per repository (total)
golf-club-community
2946
golfschul-app
1649
golfclub-monorepo
584
forma-golf-platform
433
creator-os
328
baumdienst-ruehl
177
frederikvonderheyden.de
169
workhub
38
golf-auth-provider
21
△

Why uncopyable | 3 unique differentiators

108
crystallized rules
Self-crystallizing
The system learns from its own mistakes. 108 rules were not written but emerged from experience. No other AI system does this.
10x
vs enterprise standard
Guard density
Enterprise teams have 10 to 20 governance rules. Most AI teams have 0. This system has 204 guards firing in real-time.
1:13
system : apps
System scale
14 apps, 20 databases, 77 containers. Operated by a self-improving system. The key: not more work, but fewer mistakes.
◎

Market Comparison | A different problem class

DSGVO-konform (eigene Server, DE)
GRIP: JaLovable: US-CloudCursor: US-Cloudv0: US-Cloud
EU AI Act (dokumentiert & klassifiziert)
GRIP: 32 FeaturesLovable: NeinCursor: Neinv0: Nein
Datenlöschung (DSGVO Art. 17)
GRIP: DROP DBLovable: UnklarCursor: n/av0: n/a
Eigene Server & Datenbanken
GRIP: 2 Server, 20 DBsLovable: NeinCursor: Neinv0: Nein
Automatisierte Zugriffsrechte
GRIP: 639 RLS-PoliciesLovable: ManagedCursor: n/av0: n/a
Single-Tenant-Isolation
GRIP: Physisch getrenntLovable: Multi-TenantCursor: n/av0: n/a
Persistentes Langzeitgedächtnis
GRIP: 7.901 Vault-DateienLovable: NeinCursor: Basicv0: Nein
RAG-durchsuchbare Wissensbasis
GRIP: 25.924 ChunksLovable: NeinCursor: Neinv0: Nein
Crystallization (Lernen aus Fehlern)
GRIP: 108 RegelnLovable: NeinCursor: Neinv0: Nein
Automatische Guards
GRIP: 204Lovable: NeinCursor: ~5v0: Nein
Cross-LLM-Review
GRIP: Claude + GeminiLovable: NeinCursor: Neinv0: Nein
PII-Anonymisierung vor LLM
GRIP: JaLovable: NeinCursor: Neinv0: Nein

Lovable, Cursor, and v0 build excellent apps. GRIP solves a different problem: how to run 14 apps GDPR-compliant in production, with your own infrastructure, automated access controls, and a system that learns from its own mistakes?

GRIP | Engineered Intelligence

14 apps. 632k LoC. 6,345 commits. 204 guards. One system.

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