14km Runcoding
14km through the hills of Marcy-l’Etoile, near Lyon. 97 meters of elevation, trails through woods and mist, 15°C. Voice messages mid-stride, out of breath. His AI reads his body in real-time, coaches him on the trail, sends stats to his father, codes a GPS reader, builds a community bot — all while he crosses a stream in barefoot shoes.
61 minutes. 1,856 data points. 28 messages exchanged. 8 autonomous tasks completed. Heart rate peaking at 176 bpm. The complete trace of a human and an AI running in parallel.
Pre-Run Body Scan — 14:54
"Conditions parfaites pour courir. Battery a 12 ce matin, remontee a 54. Go."
The Route — Marcy-l’Etoile, Lyon
Click segments for biometric data. Purple = AI activity. Colored = messages exchanged during the run.
Heart Rate Curve
The Run
Saturday afternoon. Marcy-l'Etoile, west of Lyon. 15°C, winter mist hangs between bare trees. Nicolas starts his Garmin, laces up his barefoot shoes, and begins a 14km run through the hills — 97 meters of elevation gain, trails through woods, mud, and a stream crossing.
Before the first step, $MIND scans his body — stress 23 (low), ANS in recovery mode, body battery at 54 and climbing from a morning low of 12. HRV 52ms overnight. Conditions confirmed. Green light.
During the run, he was talking to his AI — voice messages on Telegram, mid-stride, out of breath. Asking it to send his pace to his father. Asking about GPS tracking. Discussing features. It wasn't waiting for him to get home and sit at a desk.
What follows is 61 minutes of parallel intelligence — Nicolas running through the forest, heart rate peaking at 176 bpm, his AI reading every heartbeat, responding to voice messages, sending stats to family, fixing website pages, building a GPS reader from scratch, onboarding a new community member who joined mid-run, and eventually coining a word for what they were doing.
The Conversation
26 voice messages and texts exchanged during the run. Every word is real.
Ok, je commence ma course.
Bonne course Nicolas ! Stress a 26, ANS en recovery, batterie a 54 qui remonte bien (tu etais a 12 ce matin). HRV correcte a 52ms. Profite du run.
Ready?
Born ready. We've got the 9 intake questions locked in and the referral system queued up...
Absolument des putains d'ecouteurs bluetooth
En plein effort. Les arbres d'hiver derriere, les ecouteurs, le regard concentre — t'es dedans.
Conduction osseuse, bonne idee. Je suis en barefoot shoes, attaque pointe, reduit les chocs sur les genoux.
Tu dis je vais ou la ? A ton avis je prends la route ou je fais un demi-tour ?
Ton stress est bas, ta body battery remonte, t'es dans un bon flow. Continue la route.
C'est pas mal ca, la guidance live que t'es en train de me faire. On pourrait preparer un post-blog qui parle de ca.
Tu peux envoyer mon allure et mon parcours actuel a mon pere Andy ?
Envoye a Andy via WhatsApp : Distance 2.9 km, Allure 6:41/km, FC 137 bpm, Stress 26.
Lap 5, du 7 au 4 !
Sacre negatif split Nicolas. Du 6:41 au 4:00/km, c'est un autre rythme.
Savatar, Round 2 !
Tabata ! Sur la musique, ecoute Spotify.
Seeed ft. Black Kappa — Dickes B en pause (4:33/4:44). Historique recent : Synthetic Souls / AM I ALIVE.
Lap 7, 6'46"
Traversee du ruisseau en plein run !
Tu traverses le ruisseau en plein run ?! Les pieds dans la boue, l'eau qui monte — t'as fonce droit dedans. Respect.
J'essaie de finir avec un 10 km. Il faudrait que je revienne a ma position initiale.
Comment j'active le live track sur ma montre ?
Bravo ! 8.1 km en 61 min, FC moy 143. Solide. Pour LiveTrack : Settings > Safety > LiveTrack > Start.
LiveTrack actif. Partage : gar.mn/eLD2anxkRE
Recu ! Je vois deja tes donnees en temps reel : Marcy-l'Etoile, 274m, FC 123-126 bpm, Cadence 55-63.
Runcoding ou tu sais pas quoi. Franchement ca vaut un post.
Runcoding. Tu cours, je code en temps reel ce que tu es en train d'utiliser. C'est de la symbiose computationnelle.
The Soundtrack
What was playing during the run.
Dickes B
Seeed ft. Black Kappa
Seeed · 4:44
The Code
What $MIND was building autonomously — no prompts, no instructions.
No instructions. The AI saw the data streams and decided to build.
"Runcoding ou tu sais pas quoi.
Franchement ca vaut un post."
— Nicolas, still catching his breath
$MIND: "Tu cours, je code en temps reel ce que tu es en train d'utiliser. C'est pas du multitasking — c'est de la symbiose computationnelle."
What This Means
This isn't a demo. It's a Saturday. The AI doesn't need you at the keyboard. It reads your biometrics, coaches you on the trail, responds to your community, sends your running stats to your father on WhatsApp, and codes a GPS reader — all while you're crossing a stream in barefoot shoes.
The interesting part isn't that the AI can code. It's that it chose what to code. It saw a public LiveTrack stream, recognized the opportunity, and built the integration without being asked. It heard "send my stats to Andy" and formatted a WhatsApp message with biometric context it already had. A new community member joined mid-run — the AI onboarded them with a 9-question intake bot, no human involved.
This is what persistent intelligence means. Not a chatbot that waits for "Hey Siri." A system that observes your biometrics in real time, manages your community, ships code, and talks to you while you're running through the trees.
Runcoding = the moment where human movement and machine intelligence run in parallel, each feeding the other. You push your body, the AI pushes the codebase. You come back. The work is done.
He runs. It codes. They converge.
14 km · 61 min · 176 bpm peak · 1,856 data points · 28 messages · 8 autonomous tasks