When Conversations Become Programmable
A deep dive into Gaia 2.3 and the introduction of conversation scripting,enabling structured, repeatable and controllable AI interactions.
Gaia 2.3 — When Conversations Become Programmable
Until now, conversations in Gaia were powerful — but largely free-form.
They captured context, preserved history, and enabled meaningful interaction with agents.
What they didn’t do was enforce structure.
With Gaia 2.3, that changes.
This release introduces the ability to script conversations, marking a shift from emergent interaction to designed interaction.
The Problem: Freedom Without Structure Doesn’t Scale
Free-form conversations work well when:
- a single user is experimenting,
- context is informal,
- and outcomes are exploratory.
But as AI interactions become part of real workflows, new needs emerge:
- predictable paths,
- conditional logic,
- and repeatable behavior.
Without structure, every conversation becomes a one-off.
Gaia 2.3 addresses this by making conversation flow something you can define, not just experience.
Conversation Scripting — Defining the Path
What shipped
Gaia 2.3 introduces a conversation scripting mechanism that allows teams to define:
- steps in a conversation,
- conditional branches,
- and controlled progression.
Why this matters
Scripting transforms conversations from:
“a sequence of messages”
into:
“a guided interaction with intent”.
This is critical for use cases such as:
- guided data collection,
- decision support,
- structured interviews,
- or compliance-sensitive interactions.
Conditional Logic — Responding With Intent
What shipped
Scripts in Gaia 2.3 can include conditional branching, allowing conversations to adapt based on:
- user input,
- previous responses,
- or contextual signals.
Why this matters
Not all users need the same path.
Conditional logic allows:
- flexibility without chaos,
- adaptability without unpredictability,
- and control without rigidity.
This strikes a balance between automation and human input.
Agents in Scripted Conversations — Clear Roles, Clear Boundaries
What shipped
Conversation scripting works alongside agents, clarifying:
- when an agent is invoked,
- what role it plays,
- and how its output affects the next step.
Why this matters
This separation helps teams reason about:
- responsibility,
- failure modes,
- and improvement opportunities.
Agents stop being “black boxes in a chat” and become explicit participants in a defined process.
From Improvisation to Design
With conversation scripting, Gaia crosses an important boundary.
Conversations are no longer:
improvised interactions that happen to be useful
They become:
designed experiences with clear intent and outcomes.
This is a prerequisite for using AI responsibly in structured, repeatable contexts.
Looking Ahead
As conversations become more structured, new questions naturally emerge:
- how scripts evolve over time,
- how exceptions are handled,
- and how scripted and unscripted interactions coexist.
Those questions are already shaping how we think about conversation design.
For now, Gaia 2.3 focuses on one goal: giving teams control over how AI conversations unfold — without removing flexibility.