Vibe Orchestration
There is a kind of AI output I call algorithmic slop. Well-formatted, plausibly sourced, quietly wrong: the worst kind of error, because it wears the costume of competence. I have been writing about it for a year. This piece is about the other side of the same coin: what it looks like when AI actually works.
If you run a team, if your AI tools feel like expensive gadgets, if you have tasted the potential but not the result, this is for you.
There is a way of using AI that produces almost none of the slop. A discipline. It turns statistical text generators into actual thinking partners. I call it Vibe Orchestration.
The naive chat is a dead end
Watch how 95% of people use ChatGPT, Claude, or Gemini.
One question. One answer. Fingers crossed.
It is like asking a single musician to play a symphony. Even a virtuoso will produce something thin. A symphony needs strings, brass, percussion. Soloists who argue with each other. And someone, at the front, coordinating the whole thing.
The problem with the naive chat is not the AI. It is the way we use it.
And here is the paradox: the more powerful the model, the more dangerous the naive use becomes. A mediocre model produces visibly mediocre answers. An excellent model produces invisible errors, buried inside something that seems to hold together. Try it: ask any “Deep Research” mode about yourself by name. Read the result with your own life as the ground truth. Count the inventions.
From Vibe Coding to Vibe Orchestration
In early 2025, Andrej Karpathy (researcher, ex-Tesla, ex-OpenAI, the man who taught a generation what backpropagation is) coined Vibe Coding. The idea: stop typing line by line. Describe what you want, in plain language, sometimes by voice. Let the AI handle the implementation. He named the extreme version YOLO mode: accept everything, never read the diff, paste errors back when something breaks.
A revolution for developers. YouTube filled up overnight with people changing the world from a couch.
That was only the first step.
Vibe Orchestration is the next one. It is no longer about code. It applies anywhere knowledge work happens: strategy, finance, marketing, legal, HR, design, coaching. The principle is simple: you stop asking a question to one AI. You direct a system of specialised agents that collaborate, contradict each other, sharpen each other. And you remain the one who decides.
You move from operator to architect. From player to conductor.
The conductor, with one twist
A conductor plays no instrument. He may not even know how. Without him, no concert.
His job is to hold the vision, keep the tempo, catch wrong notes, judge whether the whole thing coheres, make sure the final piece matches his intent.
One twist: unlike a real conductor, here the score is written while you play. There is no fixed sheet. You improvise with method. You adjust in real time. That is what makes the exercise demanding. And what makes it powerful.
The agents are your specialised musicians. You are the conductor.
Three postures the conductor must master:
Creator: generate ideas, drafts, analyses, without early censorship. Critic: challenge, contradict, stress-test what was just produced. Judge: decide, commit, take responsibility.
A single AI can create. It cannot truly criticise itself. And it can never judge, because judging means values, context, a long memory, a stake in the outcome. That stays human.
Four pillars
I have spent months refining the practice. Four pillars separate the chat user from the orchestrator.
1. Co-construction of context. Everyone knows about “custom instructions”. That is level zero. Real orchestration begins by brainstorming the context itself with a dedicated agent, building a single source of truth that every other agent will use as a compass, and that you keep editing as your thinking evolves. It is not a form to fill in. It is a structured conversation that forces you to clarify your own thought.
2. Triangulation of intelligences. Each model has a personality. Claude is nuanced and respects complex constraints. GPT is fluent and creative. Gemini holds long contexts and reads like a librarian. Mistral and DeepSeek bring open-source alternatives with their own grain. An orchestrator does not swear by one tool. He knows his orchestra. When one model gets stuck, switching often unlocks it: the biases are not the same, and that is precisely where the value lives.
3. The Creator-Critic-Judge cycle. This is the process, independent of tools. Three phases, three radically different postures. Create without censorship. Aim for quantity and diversity. Criticise by activating the devil’s advocate whose only job is to break what was just made. Judge. And that is you. Not the AI. The cycle is sharper when you combine several models inside each phase.
4. Human arbitration: work higher, not more. The orchestrator stays at the centre. This is not extra work; it is work at another altitude. In my fractional-CIO practice, auditing an infrastructure or drafting a tech roadmap used to mean a day of meetings with five people. Now I run a small strategic lab: one agent audits the weaknesses, another challenges the ROI, a third argues against my own assumptions, all of them framed by GDPR and ANSSI guidelines. I sit in the middle and decide. Two hours, alone, fuller picture, blind spots already uncovered. Production is delegated. Direction is not.
What it is not
Let me be clear.
Orchestration is not full automation. It is the opposite.
It does not exempt you from understanding what you are doing. The day you stop understanding the outputs is the day the real trouble starts. Three risks:
- Rubber-stamping. Validating outputs without reading them, out of fatigue or overconfidence. You become a human stamp, not a decider.
- Skill atrophy. Delegate enough, long enough, and you lose the ability to do the thing yourself. The day the AI is wrong, you are helpless.
- Illusion of expertise. You feel competent because results come out. But you no longer master the underlying mechanism, and your long-term memory does not record what you did not actually do.
These are exactly why orchestration cannot be improvised. It needs a frame, a method, and often an outside eye.
The real competence of 2026
The AI revolution does not replace the expert. It amplifies the expert who agrees to become a conductor.
Those who refuse AI will be outpaced. Those who surrender to it will be undone by its errors. The path is in the balance: fluent orchestration, anchored in intellectual rigour and constant vigilance.
Vibe Orchestration is not the art of delegating to AI. It is the demanding art of directing non-human intelligences without abdicating your own.
The greatest danger in times of turbulence is not the turbulence; it is to act with yesterday’s logic. — Peter Drucker, Managing in Turbulent Times, 1980