This morning in the shower I had an idea. Four what-ifs, really:

  • what if organizational decisions and fomo (fear of missing out) run on the same wiring
  • what if group psychology and the way organizations actually decide are the same problem
  • what if leadership and how change spreads come down to herd instinct and who talks to whom
  • what if motivation at work and the social stuff around it trace back to one principle

Situation Normal, All Fucked Up (SNAFU) isn't a law of nature. It's just what you get without a method. COBESY is the method.

Intro

COBESY stands for Cognitive, Behavioral, Systematic. It takes knowledge and turns it into something an organization can actually adopt.

And if it works, I should be using it on this very post. I am. So read it twice: once for what it says, once for the way it's built.

The dead deck

Remember Prezi? Your last Miro board. Canva. PowerPoint. Boooring. Here is the part nobody admits: explaining it better keeps failing. New template, fails. Animation, fails. Brighter colors, fails. Saying it slower and louder, fails too.

You misdiagnosed the gap: Storytelling isn't the solution

The gap was never about clarity. Or story. Or hooks. COBESY shows you why pouring more content into a motivation gap, or into a broken environment, makes things worse instead of better. Stories, hooks, rapport ... all of that can fall onto deaf ears.

static knowledge → AI agents → operate

COBESY

Three layers

  1. Cognitive
  2. Behavioral
  3. Systematic

You read them top-down, because that is the order the audience meets them. You build them bottom up, because the culture decides whether any of it survives. So we work upwards.

Systemic base

Schein and Edmondson. Whether the idea survives the culture it lands in. Get this layer wrong and nothing stacked on top of it matters.

Behavioral vectors

Centola, Jackson, Berger. How it spreads. A simple fact jumps on a single contact. A costly change in behavior needs repeated contact from people you already trust. Most real adoptions are the second kind, which is exactly why the all-staff email does nothing.

Cognitive interface

Minto, Dirksen, Knowles. What the audience actually sees: the message, squeezed down to fit a working memory and an adult who already knows a few things.

What you actually get

The skill hands you two things:

  • A rolling framework that walks a skeptical desk from zero to bought-in.
  • A way to talk to the Elephant, not just the Rider: the gut, not only the spreadsheet.

Everybody can create AI slides.

Few can structure them

The validation gate

Before anything ships, it runs six checks:

  • MECE: no overlaps, no gaps
  • Working memory: it fits inside one human head
  • Safe to say: the room can actually hear it
  • A disproof condition
  • Cascade, not broadcast
  • Removes a barrier instead of pushing harder

That fourth one carries the most weight. Every claim ships with a "we are wrong if ___". That single line is what separates a method from motivational fluff.

And to be clear about what this is not: it is not coaching, and it is not a team-building offsite. You will not dance your org into AI readiness.

What it does deal with:

  • how behavior spreads
  • what makes an idea stick
  • how a group warms to something
  • how a person’s place in the network decides whether your content even gets heard

When not to use it

Skip it for:

  • factual lookup
  • a single-fact answer
  • anything with no human adoption problem

If nobody has to change their behavior, COBESY is just overhead.

Get it, try it

GitHub - norandom/Skills: Skills for AI agents: business engineering and management methods with AI
Skills for AI agents: business engineering and management methods with AI - norandom/Skills

The skill is free. Here is the one thing I would ask: do not read it and nod. Pick a single rollout you are stuck on right now. A tool nobody opens, a process that will not stick. Run it through COBESY once. One real problem. That is the whole experiment.

Attribution is here. The idea came out of a Wharton seminar on where this generation of AI agents falls short. I had just added the Gartner ReFlect skill to my collection and started asking what I needed next.

Blueprint for building AI for business adopters

Enthusiasm fades, a changed environment does not

COBESY curbs the hype and answers the objections you would actually raise:

  1. It is not decorative. No AI slides, no template theater.
  2. Knowledge versus skill: the spine is real research, not vibes.
  3. Proximity beats completeness. Put the structure where the work happens.
  4. Cognitive load: 7±2, Minto, the anti-cringe gate. Nobody enjoys the chicken-dance offsite.
  5. Environment beats motivation hacks:
    • it is not built for a quick pitch that insults the room’s intelligence
    • it is built for a transformation, because a changed environment is what carries a cascade once the enthusiasm wears off

Further reading

Hermes, the moment of Business AI
Hermes is just the messenger. To understand the message, you must read it in the right context. And that is where Business AI comes in.
Rapid Dashboarding with Self-Hosted AI Systems
The fine folks from McKinsey have open-sourced an AI-enabled dashboarding workflow. In my opinion, it’s useful for businesses and strategically valuable to generate insights. It’s called Vizro. Rapid dashboarding alternatives like Claude in Excel require 1. more work and prompting (attention to detail) 2. you need to email or SharePoint-share
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