Jean-Philippe Arné
Operational Transformation & AI Agent Builder
I fix operational bottlenecks during the day, for my clients. I build AI agents when I'm back home. I'm looking for the role where they stop being two separate jobs.
I started as a software engineer, mobile apps, web platforms, drone firmware, a training tool for the British Olympic sailing team. I wrote code, shipped products, and learned what building actually means.
Then I spent five years learning how organisations break and how to fix them. At a European media group, I redesigned a department from 10 to 50 people. At an industrial electrical manufacturer, I built dashboards that turned a 500-item opaque backlog into a visible, measurable system. At a national energy utility, a global digital consultancy, and a French e-commerce leader, I coached teams through transformations that stuck because the teams owned them, not me. Today, I lead the AI initiative inside that same national energy utility, turning the methodology into product, from inside the team.
Since December 2025, I've been building AI agents intensively as a solo engineer. 26 projects in 5 months. When Claude Code shipped, I put my hands on it immediately. The operational knowledge tells me where to point the AI. The engineering background lets me build it.
I'm not leaving agile coaching, I'm evolving on this base. The agile time taught me where to look. The AI tools now let me build what I find.
I find where operations hurt, I make the dysfunction visible, and I let teams fix it themselves. Lean, Scrum, Kanban, Nexus. Dashboard design, KPI systems, shift-left testing, organisational redesign. I don't sell frameworks, I solve the problem in front of me.
Multi-agent systems, workflow automation, AI-powered tools. From a 23-phase SDLC factory to a personal infrastructure that connects my knowledge bases and computer to Telegram. I build, ship, and use what I make. Daily.
Looking for the role where both halves meet. Diagnose the operational bottleneck, then build the AI agent that removes it. In the same mission. 15 years of pattern recognition plus the tools to act on it.
A self-hosted MCP bridge that gives my AI agents controlled access to my services without ever handing them a credential. Encrypted vault, per-capability switches, an audit log the agent cannot touch, and drop-in connectors for anything new. Built end to end by the Black Box App Factory: 1,053 tests, security-audited, MIT, alpha.
A 22-phase SDLC where Claude plays 7 roles (PM, Architect, Developer, QA, Security, Workflow Architect, User Tester). Configurable quality tiers, file-based state machine, agent failure recovery. My operational transformation knowledge encoded as executable software.
A Waybar fork that hosts a permanent Claude agent in my status bar. One keystroke drops the bar into a terminal pane running an always-on Claude session, stateful across reboots, accessible from every workspace. No Electron, no browser tab, just libvte inside GTK. Running on my daily driver. Alpha, MIT licensed.
My knowledge bases and my entire computer connected to Telegram via AI agents. Take notes, retrieve files, execute tasks on my machine, access my professional knowledge, from anywhere, all the time. Daily use since January 2026.
Autonomous Instagram agent: character-driven personas, 30-day rolling content plans, AI-generated 2K images, automated posting via Instagram Graph API. Ran one account at 3 posts/day fully autonomously.
AI photo transformation SaaS. Full production stack built solo: Next.js 15, Supabase, Stripe, Google OAuth. Shipped to production, ran for one month, failed to find market fit. Shut down. The build was a success; the market wasn't.
Nightly automated scalping bot factory with daily parameter tuning. Paper trading across 7 repos of progressive iteration, swing, scalp, LLM-assisted strategies. Running every night since April 2026.