19 november 2026 · La Sucrerie, Wavre
ai loop summit
AI Loop Summit brings together software leaders, builders, and practitioners who want to sharpen their judgment, compare real choices, and stay capable of choosing in a field that keeps moving.
HÉLÈNE GUILLAUME, AI SOVEREIGHTY EXPERT
XAVIER LOMBARD, LEEXI
SÉBASTIEN COUTURIAUX, MONIZZE
GUILLAUME VANHALST, ARTEFACT
VALÉRIE ZAPICO, VALKUREN
DOMINIQUE PELLEGRINO, VERTUOZA
FRANCISCO ORTEGA, N-SIDE
PHILIPPE LAURENT, MARX VAN RANST VERMEERSCH & PARTNERS
PIETER DEN HAMER, GARTNER RESEARCH
NORMAN DESCHAUWER, PYXIS
ANTOINE PERDAENS, ELIUM
VÉRONIQUE PEVTSCHIN, THEGREENSHOT
Live community launch event // 2026
ai loop
the loop works because we're in it.
ai is changing software work. some will wait, some will test alone. not us. share a real workflow, a friction, or a challenge to reveal the 2026 calendar.
live contribution momentum
18 / 32 base goal
56%
TOWARD LOADING THE LOOP
COMMUNITY PERKS TO UNLOCKS
Event calendar reveal
unlocked
Top 3 AI summer reads shared
unlocked
AI Loop Summit reduction code
75% target
AI Loop podcast pilot episode released
100% target
Contributors become founding members
200% target
field contributions
real friction. real workflows. shared in the open.
Navigating governance and team adoption in SMEs
Helping SMEs integrate AI often gets caught between establishing clear governance and driving real team adoption. Without practical guardrails and everyday habits, teams struggle to move past initial awareness into safe, daily workflows.
ANONYMOUS LOOPER
Overcoming the fear of being left behind with AI
Facing the feeling of falling behind on AI adoption, the chosen response is active exploration. Testing concrete use cases hands-on helps turn anxiety into practical learning and build momentum at one's own pace.
Jean-edouard Stevens · mymedicoach
Managing cognitive overload across multi-domain AI tools
I use AI across dev IDEs, web, 3D, and VFX pipelines. The hardest part isn't the tooling itself, but the sheer volume of context and information to hold in my head while switching workflows.
ANONYMOUS LOOPER
Framing AI as delegation and knowing when to stop
Treating AI like an assistant by checking if instructions are clear before iterating on the final version. Run stress and quality tests, then stop to avoid sacrificing performance for perfection.
ANONYMOUS LOOPER
Managing AI brain fry during endless tool iterations
It is hard to know when to stop when AI continuously proposes improvements while building or refining a tool. This over-iteration leads to mental fatigue and slows down decision-making.
ANONYMOUS LOOPER
Re-evaluating foundational CS teaching in the age of AI
Take-home assignments are losing their evaluation value because it is impossible to track AI usage, leading to more written and locked-down exams. The biggest hurdle is motivating students to master core fundamentals when AI can solve basic problems instantly, leaving gaps when they reach advanced topics.
Hélène Verhaeghe · UCLouvain