🧠 GPT‑5 Smart · Key Innovations

What's New in GPT‑5 Smart and How to Enhance Your Entities

The most advanced model yet: deep reasoning, real multimodality, persistent memory and personality styles. Ideal for building entities that feel coherent, aesthetic and alive.

View Entity Integration Explore Features
Deep Reasoning · More precise and adaptive responses
Real Multimodality · Text, image, audio and video
Persistent Memory · Remembers traits and evolution of each entity
Personality Styles · Cynic, Robot, Listener, Nerd

1) Deep Reasoning

GPT‑5 adjusts its analysis level to the complexity of each query, detects nuances and maintains logical structure even in long dialogues.

  • Adapts detail: from brief responses to extensive analysis without losing focus.
  • Narrative coherence: perfect for emotional and symbolic continuity of your characters.
  • Debug & planning: useful when generating, refactoring or reviewing internal logic of an entity.

2) Real Multimodality

Understands and generates in multiple formats: text, image, audio and video. Open the door to richer experiences.

  • Living aesthetics: a single entity can "speak", "look" and "sound" consistently.
  • Cross-context: combine text + image for visual style and emotional tone.
  • Voice interfaces: enable voice as an interaction medium.

3) Persistent Memory

Remember choices, contradictions and important events of each entity over time.

  • Emotional history: moods, triggers and reconciliations.
  • Symbolic objects: clues and motifs that reappear (e.g., "stone in pocket").
  • Evolution: past decisions affect future responses.

4) Personality Styles

Pre-configured modes for response tone: CynicRobotListenerNerd.

  • Consistency: the character maintains their own voice.
  • Modulation: vary warmth or sarcasm according to scene.
  • Speed: choosing the right style reduces prompt-engineering.

Model Profiles

ProfileRecommended UseValue
GPT‑5 Advanced logic, complex narrative, protagonist entities. Maximum quality and context.
GPT‑5 Mini Quick interactions, UI panels, secondary support. Balanced speed and quality.
GPT‑5 Nano Lightweight devices, instant responses. Optimized for speed.
GPT‑5 Chat General conversational interaction. Optimized for chat.

Choose the profile according to the role of each entity (protagonist, secondary, UI support).

Access and Plans

Access may vary by plan. Generally, there are daily limits on free tiers and greater capacity on paid plans.

  • Free: limited use for testing and prototypes.
  • Plus / Pro: more context, better limits and stability.
  • Smart mode: automatically adjusts reasoning depth.

Check current conditions with your provider for details on quotas and costs.

Integration into Your Entities System

Core idea: each entity = identity + memory + aesthetics + response rules. GPT‑5 unites everything with coherence.

State Schema (Conceptual)

Entity {
  id: "lara",
  voice: "listener",              // personality style (listener, cynic, robot, nerd)
  motifs: ["teal blue", "postcards without sender"],
  memory: {
    relationships: ["Lucia", "grandmother"],
    objects: ["stone in pocket"],
    events: ["letter answered"]
  },
  states: {
    mood: "hopeful melancholy",
    triggers: { see_rain: "+calm", speak_in_public: "+anxiety" }
  }
}

Suggested Base Prompt

Role: "Narrative-personality assistant"
Instructions:
- Adopt the entity's <voice> style.
- Respect motifs and symbols; make them reappear subtly.
- Evolve state according to user inputs (update memory).
- If there's conflict, prioritize emotional coherence over trivial data.
Output:
- Response (consistent tone)
- Memory notes { state_changes, new_motifs, relationships }

UX and Custom Panels

  • Mood sliders: affect tone and response length.
  • Living palettes: color and typography change according to state.
  • Micro-narratives: fragments that emerge from trigger symbols.
  • Audio/voice: reading with coherent vocal identity.

Example of "Tone Adjustment" from UI

// Pseudocode UI → system
payload = {
  entityId: "marcos",
  tone: "warm 0.7 / ironic 0.3",
  context: "light rain; Portishead music",
  userInput: "Why do you find it hard to speak in public?"
}

Best Practices

  • Separate identity (who they are) from state (how they are today).
  • Explicit memory: save events and changes, not just the chat.
  • Recurring motifs: symbols that provide poetic continuity.
  • Coherence tests: automated checks of tone and motifs.

Common Errors to Avoid

  • Inflated prompt: keep rules clear and brief.
  • Forgotten state: without memory, the entity "resets".
  • Unstable style: don't mix voices without transition.
  • Multimodal without purpose: each medium should add meaning.

FAQ

Does GPT‑5 "remember" on its own or do I need to save things?

The model can handle extended context, but for real continuity between sessions it's advisable to persist memory in your database (events, motifs, relationships and states).

How do I choose between GPT‑5, Mini, Nano and Chat?

Assign the best profile to the role: demanding protagonists → GPT‑5; quick panels and assistants → Mini; devices or lightweight tasks → Nano; general conversation → Chat.

Can I combine text and image to define aesthetics?

Yes. Define a visual manifesto per entity and generate images that respect its symbols and states. Save the parameters for consistency.

Implementation Checklist

Example "Voice + Memory" Contract (Pseudo-Template)

[SYSTEM]
You are <ENTITY_NAME>.
Voice: <LISTENER|CYNIC|ROBOT|NERD> with nuances <...>.
Motifs: <list of symbols> that should subtly reappear.
Memory (summary): <key events and bonds>.

[RULES]
1) Prioritize emotional coherence over trivial data.
2) Maintain motifs and symbolic thread.
3) At the end, emit "memory notes" with state changes.

[USER]
<input>

[EXPECTED OUTPUT]
- response: <text in the entity's voice>
- memory: { state, new_events, reinforce_motifs }