Use Case · Mixed profile

Mixed profile ADHD + ASD:
when needs coexist and contradict

Pablo needs new stimulation — and needs the environment to be predictable. Has hyperfocus — and gets sensorially overloaded. This case shows how GLIA, as a Cognitive Learning Operating System, manages the tension of simultaneous needs that no simple protocol can resolve.

📚 GLIA Use Case🔬 Pedagogical scenarioUpdated June 2026
Note about this profile. This case describes someone who functions. They go to school, participate, show no obvious warning signs. The cost of that functioning is invisible to the educational system — but not to GLIA.

Cognitive profile: Pablo, 15 years old

Pablo has ADHD and ASD. On paper, those are two conditions. In practice, they are two sets of needs that sometimes complement each other, sometimes contradict each other, and always overlap in ways that no standard protocol contemplates. He needs novelty — and he needs predictability. He has hyperfocus — and he has sensory overload. He needs structure — and rigid structure paralyzes him.

As a Cognitive Learning Operating System, GLIA does not resolve Pablo's contradiction by choosing a side. It manages it in real time, responding to the state of the moment rather than to a fixed category.

Attentional state
Highly variable — dependent on sensory and motivational context
In optimal conditions: sustained hyperfocus. In high sensory load or low activation conditions: severe attentional fragmentation.
Core tension
Need for novelty (ADHD) vs. need for predictability (ASD)
The same brain that gets bored with routine needs routine to avoid overload. This tension is the defining feature of his profile.
Cognitive load
Extremely high
Pablo simultaneously manages ADHD executive regulation and ASD sensory and social processing. Baseline load is far above simple profiles.
Cognitive flexibility
Paradoxical: high in thinking / very costly in behavior
Can change ideas quickly. Finds it very difficult to change activities, especially if the change is unexpected.
Energy profile
Short cycles with variable recovery
Good days and bad days differ dramatically. State prediction is harder than with simple profiles.
Emotional regulation
Low — nervous system with high sensitivity and low automatization
Pablo's emotional responses are intense and rapid. Regulation is not automatic — it requires conscious effort that competes with resources available for learning.

What the system sees and what Pablo lives

From the outside
  • Contradictory — sometimes one thing works and sometimes the opposite
  • Unpredictable — you never know how he will be
  • Very difficult to manage in the classroom
  • No one knows what accommodation to give him
  • His own needs contradict each other
  • Needs too much individualized support
From the inside
  • His needs do not contradict — they coexist. He needs novelty within predictable structure
  • The unpredictability reflects the real variability of his cognitive state — which is greater than in simple profiles
  • Classroom management is difficult because classroom tools are for simple profiles
  • The accommodation he needs is dynamic, not static — it changes with his state
  • Having two sets of needs does not make them mutually exclusive
  • Individualized support is not excess — it is the only way it works
The profile that falls between all systems

Pablo does not fit ADHD protocols or ASD protocols. The two protocols combined do not contemplate their specific interactions. Professionals who work with him often disagree on what to prioritize. The result is a student who receives partially contradictory accommodations or none at all because nobody knows where to start.

The novelty-predictability tension: how it operates in practice

Pablo's core tension is not an irresolvable paradox. It has a dynamic solution: novelty within predictable structure. Content can be varied and stimulating — but format, sequence, and expectations must be familiar. Pablo can explore new territories if the travel map is stable.

This is precisely what a static system cannot offer — and what an adaptive system like GLIA can manage in real time, adjusting the novelty/structure balance based on the state of the moment.

How Pablo arrives at the system

Wednesday, 5:00 PM. A normal day — which for Pablo means high variability.

Pablo opens GLIA. The check-in detects medium-high activation and medium energy. Not his worst state, but not his best. The system registers the week's pattern: Monday good, Tuesday bad, Wednesday variable.

GLIA has a longitudinal profile of Pablo that distinguishes his states with precision. It knows that in a medium state, Pablo functions best with tasks that have clear structure but allow some exploration within that structure. Nothing completely open — too much ambiguity activates ASD. Nothing completely closed — too much rigidity switches off ADHD.

The system proposes an activity with a structured framework and internal variation space. The first step is identical to always — predictability for the ASD. Within that step, there are three entry options — novelty for the ADHD. Pablo chooses. The system registers the choice and calibrates the next step.

What GLIA does in response

Dynamic novelty-structure balance. GLIA adjusts in each session the ratio between predictable elements (which activate ASD safety) and novel elements (which activate the ADHD dopamine system). This balance is not fixed — it depends on the state of the moment.

Visible structure, variable content. The format of Pablo's session is always the same. What changes is the content within that format. He knows exactly how each session starts, progresses, and ends — within that, there is real variety.

Compound overload management. When the system detects overload signals combining ADHD patterns (rapid abandonment, erratic navigation) with ASD patterns (high latencies, excessive structure review), it recognizes compound overload and acts conservatively: reduces load, increases structure, eliminates unexpected elements.

GLIA in action

For Pablo, GLIA is the first environment that does not ask him to choose between his two sets of needs. The system holds both simultaneously and makes decisions that respect both at the same time. That is the difference between static adaptation — which chooses a profile and applies it — and dynamic adaptation — which responds to the real state of the moment.