Introducing: Preferences

One Agent, Inifinte Possiblities: How Preferences Transform Your AI Business

Stop building custom versions for every customer segment. Stop fielding requests for "just a small tweak" to how your agent works. Stop pretending one-size-fits-all actually fits anyone.

Your customers aren't identical. Why should their experience be?

The Personalization Problem Nobody Solves

Every AI agent builder faces the same nightmare: Customer A wants formal language for their law firm. Customer B needs casual tone for their startup. Customer C requires industry-specific terminology for healthcare.

Traditional solution? Build three agents. Maintain three codebases. Triple your headaches.

Our solution? Build once, adapt infinitely.

Preferences That Actually Matter

This isn't a settings page with toggle switches nobody understands. Preferences are meaningful inputs you define that fundamentally change how your agent operates for each customer.

You Design the Questions: During onboarding, your agent asks exactly what you need to know:

• "What industry are you in?" (Shapes terminology and examples)
• "Preferred communication style?" (Formal, casual, technical, simple)
• "Which websites should I monitor?" (Personalizes research scope)
• "Blacklisted sources?" (Ensures trust and relevance)
• "Report frequency?" (Daily, weekly, on-demand)
• "Team size?" (Scales complexity of recommendations)

Your Customers Answer Once: Clean onboarding flow captures their needs. Required fields ensure critical info. Optional fields let power users fine-tune.

The Agent Remembers Forever: Every interaction, every execution, every trigger uses these preferences automatically. No reminder needed. No repeated setup.

The Magic of Multiplicity

Watch what happens when you add just three preference fields:

Industry + Tone + Frequency = 1,000 Variations

Your single agent suddenly serves:

• The formal monthly reports for finance firms
• The casual weekly updates for creative agencies
• The technical daily briefings for engineering teams

Same agent. Same maintenance. Exponential value.

Beyond Basic Settings

Preferences aren't just dropdowns and checkboxes. They're business logic:

For Newsletter Agents: Customers specify keywords, trusted sources, and blacklisted domains. Their newsletter becomes genuinely theirs—not a template with their name on it.

For Coaching Agents: Clients indicate goals, challenges, and preferred frameworks. Every interaction aligns with their personal development journey.

For Analysis Agents: Users define KPIs, comparison benchmarks, and reporting formats. The agent speaks their business language from conversation one.

The Psychology of Personal

When customers shape their own experience:

• Engagement triples (they built it, they use it)
• Churn plummets (switching means starting over)
• Word-of-mouth explodes (they recommend "their" configuration)

Generic agents get abandoned. Personalized agents become indispensable.

Implementation Without Complexity

Setting up Preferences takes minutes:

1. Group Your Settings: Organize related preferences (Business Info, Communication Style, Technical Settings)
2. Name Them Clearly: "Preferred Industry" not "vertical_taxonomy_selector"
3. Choose the Type: Text, number, dropdown, date—whatever makes sense
4. Write Helper Text: Explain why this matters and how it's used
5. Set Defaults: Smart defaults for those who want to skip ahead
6. Mark Requirements: Decide what's essential vs. nice-to-have

Your customers see a thoughtful onboarding flow. You see organized data that drives agent behavior.

The Competitive Edge

Your competitors force customers into rigid boxes. You give them infinite flexibility within a stable framework.

Your competitors rebuild for every use case. You configure once and scale forever.

Your competitors guess what customers want. You ask them directly and deliver exactly that.

One Build, Endless Possibility

The dream of "build once, sell many" usually dies when customer two asks for something different. Preferences resurrect that dream. Your agent becomes a chameleon—same brain, perfect adaptation.

Stop building variations. Start building variability.

Learn More in Help Center →

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