Expression Layer
Shaping how the agent speaks, explains, and relates
Shaping how the agent speaks, explains, and relates
It’s what makes the agent feel alive, relatable, and trustworthy. The best tech fails if its expression is robotic or unclear.
Agentic Use Case Examples
Category
Agriculture & Food
Example
Farm agent explains adaptive decisions in user-friendly terms.
Industry
Travel & Hospitality
Example
Concierge agent expresses recommendations clearly and reflects personal style.
Industry
Data & Analytics
Example
Decision agent surfaces reasoning in digestible, human-readable formats.
Industry
Content & Generative Design
Example
Design copilot articulates rationale behind content choices in brand-consistent tone.
Applying the Expression Layer in Product Development
1
Solves for: No agreement on the agent’s tone, voice, or transparency level.
Solves for: Brand and product tone diverge in agent expression.
Solves for: Reasoning visibility is left unplanned or reactive.
Project Kickoffs
1
Solves for: No agreement on the agent’s tone, voice, or transparency level.
Solves for: Brand and product tone diverge in agent expression.
Solves for: Reasoning visibility is left unplanned or reactive.
Project Kickoffs
1
Solves for: No agreement on the agent’s tone, voice, or transparency level.
Solves for: Brand and product tone diverge in agent expression.
Solves for: Reasoning visibility is left unplanned or reactive.
Project Kickoffs
2
Solves for: Agent tone feels robotic, erratic, or misaligned with context.
Solves for: Users can’t tell what the agent is doing, or why.
Solves for: Lack of clarity or empathy during high-stakes interactions.
Audits
2
Solves for: Agent tone feels robotic, erratic, or misaligned with context.
Solves for: Users can’t tell what the agent is doing, or why.
Solves for: Lack of clarity or empathy during high-stakes interactions.
Audits
2
Solves for: Agent tone feels robotic, erratic, or misaligned with context.
Solves for: Users can’t tell what the agent is doing, or why.
Solves for: Lack of clarity or empathy during high-stakes interactions.
Audits
3
Solves for: New output lacks reasoning or fails to explain choices.
Solves for: Tone shifts confuse users or undercut the agent’s identity.
Solves for: Agent overstates certainty or fails to acknowledge limitations.
Feature Reviews
3
Solves for: New output lacks reasoning or fails to explain choices.
Solves for: Tone shifts confuse users or undercut the agent’s identity.
Solves for: Agent overstates certainty or fails to acknowledge limitations.
Feature Reviews
3
Solves for: New output lacks reasoning or fails to explain choices.
Solves for: Tone shifts confuse users or undercut the agent’s identity.
Solves for: Agent overstates certainty or fails to acknowledge limitations.
Feature Reviews
4
Solves for: No structured prompts to test transparency or emotional tone.
Solves for: Users describe the agent as “uncanny” or “overconfident.”
Solves for: Participants don’t feel they can trust what the agent says.
User Research
4
Solves for: No structured prompts to test transparency or emotional tone.
Solves for: Users describe the agent as “uncanny” or “overconfident.”
Solves for: Participants don’t feel they can trust what the agent says.
User Research
4
Solves for: No structured prompts to test transparency or emotional tone.
Solves for: Users describe the agent as “uncanny” or “overconfident.”
Solves for: Participants don’t feel they can trust what the agent says.
User Research
Real-World Use of the Expression Layer
OpenAI’s DALL·E 3 generates detailed images from text prompts by interpreting both descriptive content and stylistic intent. It allows users to visually express ideas through AI, demonstrating a high-fidelity expression layer where the agent translates natural language into richly rendered, user-guided creative outputs.
OpenAI’s DALL·E 3 generates detailed images from text prompts by interpreting both descriptive content and stylistic intent. It allows users to visually express ideas through AI, demonstrating a high-fidelity expression layer where the agent translates natural language into richly rendered, user-guided creative outputs.
OpenAI’s DALL·E 3 generates detailed images from text prompts by interpreting both descriptive content and stylistic intent. It allows users to visually express ideas through AI, demonstrating a high-fidelity expression layer where the agent translates natural language into richly rendered, user-guided creative outputs.
ElevenLabs produces human-like speech from text with customizable tone, emotion, and voice identity, enabling expressive audio output for podcasts, games, accessibility, or narrated content.
ElevenLabs produces human-like speech from text with customizable tone, emotion, and voice identity, enabling expressive audio output for podcasts, games, accessibility, or narrated content.
ElevenLabs produces human-like speech from text with customizable tone, emotion, and voice identity, enabling expressive audio output for podcasts, games, accessibility, or narrated content.
Uber’s QueryGPT translates natural language into SQL queries, showing its logic, surfacing its reasoning process to analysts in a transparent, human-readable form.
Uber’s QueryGPT translates natural language into SQL queries, showing its logic, surfacing its reasoning process to analysts in a transparent, human-readable form.
Uber’s QueryGPT translates natural language into SQL queries, showing its logic, surfacing its reasoning process to analysts in a transparent, human-readable form.
Synthesia creates video presentations using AI avatars that speak typed scripts, enabling organizations to scale multilingual content delivery without actors, cameras, or localization overhead.
Synthesia creates video presentations using AI avatars that speak typed scripts, enabling organizations to scale multilingual content delivery without actors, cameras, or localization overhead.
Synthesia creates video presentations using AI avatars that speak typed scripts, enabling organizations to scale multilingual content delivery without actors, cameras, or localization overhead.
Jasper writes compelling marketing copy tailored to brand voice and channel tone—adjusting language to suit everything from formal whitepapers to quirky tweets with audience-fit fluency.
Jasper writes compelling marketing copy tailored to brand voice and channel tone—adjusting language to suit everything from formal whitepapers to quirky tweets with audience-fit fluency.
Jasper writes compelling marketing copy tailored to brand voice and channel tone—adjusting language to suit everything from formal whitepapers to quirky tweets with audience-fit fluency.