Today we take an important step in the evolution of Oraclia: the release of the first functional prototype of a minimal symbolic AI — a technical experiment showing that Oraclia’s symbolic language can operate as a computational layer capable of detecting internal movements in a sentence and translating them into structural symbols.

This is not a psychological AI. It is not emotional. It does not interpret personal meaning.

This prototype demonstrates only one thing:

👉 Oraclia can function as a symbolic engine that identifies structural states and responds with clarity and neutrality.

See the prototype here:
https://github.com/JuditLlop/oraclia-language/blob/main/pilots/01-minimal-computational/oraclia_pilot.py

1. What does this prototype aim to demonstrate?

The goal is not to build a complete AI system, but to demonstrate three essential points:

A) Oraclia’s symbols can function as internal process states

The system recognizes patterns in text and maps them to symbols such as:

  • ? = indeterminacy
  • Y = bifurcation
  • ⊘ = interruption
  • ∆ = change
  • → = movement
  • ≡ = integration
  • † = limit

This shows that Oraclia can operate computationally without subjective interpretation.

2. How does the prototype work? (clear and honest explanation)

The code reads the user’s sentence and compares specific expressions against a small set of linguistic patterns.

Examples:

  • Someone writes “I feel stuck” → the system detects “stuck” → returns ⊘ (interruption).
  • Someone writes “I need to choose” → returns Y (bifurcation).
  • If no structural pattern appears → returns ◌ (no movement detected).

It is extremely simple, but enough to demonstrate the principle:

👉 Oraclia can act as a symbolic layer that classifies internal human movements without emotional or psychological analysis.

3. Why is this symbolic rather than analytical?

Because it does not explain emotion, cause, or personal history. It only identifies the type of structural movement present in the message.

Examples:

  • “The process is changing.” → ∆ (transformation)
  • “I have doubts.” → ? (indeterminacy)
  • “I can’t move forward.” → † (limit)

This is the essence of a symbolic AI: it does not interpret who you are; it reads the shape of the movement.

4. What does this contribute to Oraclia’s future?

This prototype opens the door to:

  • Tools for symbolic self-awareness
    Helping a person identify where they are in a process without psychological analysis.
  • Decision-making support systems
    Not suggesting what to do — but clarifying the state.
  • Educational environments
    Allowing children and adults to understand their processes without judgment.
  • Structural guidance for teams and projects
    Using a symbol like “we’re in ∆” to reduce noise and improve communication.

5. Why this prototype matters despite being small

Its value lies not in its size, but in what it proves:

  • ✔ Oraclia can be coded.
  • ✔ It can operate as a computational language.
  • ✔ An AI can use its symbols as process states.
  • ✔ Symbolic reading can be objective and neutral.

It is the first stone toward a real symbolic AI, distinct from traditional analytical models.

6. Next steps

From here, we can develop:

  • richer versions of symbolic detection,
  • rules for combining 2–5 symbols,
  • a full structural-reading module,
  • a human-facing interface for clarity and reflection,
  • symbolic support tools for teams and individuals.

All while keeping Oraclia non-emotional, non-psychological, and non-esoteric.

7. Conclusion

This prototype shows that:

  • 🔸 Oraclia can function as a real computational symbolic layer.
  • 🔸 The language can be implemented without subjective interpretation.
  • 🔸 Symbolic use does not invade privacy or diagnose.
  • 🔸 AI can help clarify processes without telling people what to think.

This is only the beginning, but it confirms that Oraclia has a unique place in the AI landscape: a structural, human, and ethical space where clarity matters more than prediction.