Agent Design

Agent Design: Blueprint for Success

Agent design is where strategy meets execution. Before writing a single line of configuration, you need a clear blueprint that defines your agent's role, personality, and operational boundaries. This planning phase prevents costly rework and ensures your agent delivers real business value.

Think of agent design as writing a job description for your newest team member — one who never sleeps, never forgets, and represents your brand in every conversation.

The Five Pillars of Agent Design

Pillar 1: Define Purpose and Scope

Start with clarity about what problem your agent solves. Narrow, focused agents outperform generalists.

Ask yourself:

• What specific business problem does this agent solve?
• Who will interact with it? (customers, employees, partners)
• What does success look like? (completed bookings, resolved tickets, qualified leads)

Pro Tip: Your first agent should do one thing excellently rather than many things poorly. You can always expand scope after validating the core workflow.

Examples of Well-Scoped Agents:

• Cypress Resorts Concierge — Handle room availability queries and booking reservations
• Otto (DIY Warehouse) — Search products, recommend alternatives, guide to purchase
• Restaurant Host — Check table availability, book reservations, handle party size changes

Pillar 2: Establish Personality and Brand Voice

Your agent's personality should mirror your brand while fitting its specific role. This isn't about creativity — it's about consistency and trust.

Define these attributes:

Example Personalities:

Writing Your Personality Guide:

Agent: Cypress Concierge
Tone: Warm, attentive, professional
Style: Speak like a luxury hotel concierge — anticipate needs, confirm details, celebrate bookings
Boundaries: Doesn't handle cancellations or complaints (escalates to human)
Sample Phrases: "I'd be delighted to help you find the perfect room," "Let me check availability for you"

Pillar 3: Map Conversation Workflows

Document the primary conversation paths your agent will handle. Use simple flowcharts or bullet points — this doesn't need to be complex.

Core Workflow Template:

1. Greeting & Intent Detection

   • How does the agent open? ("Hi! I'm here to help you find and book the perfect room.")
   • How does it identify what the user wants?

2. Information Gathering

   • What details does the agent need? (dates, party size, preferences)
   • How does it handle missing information? (prompt gently vs. assume defaults)

3. Action Execution

   • What tools get called? (search availability, check inventory, create booking)
   • What data gets displayed? (room photos, product specs, confirmation details)

4. Confirmation & Next Steps

   • How does the agent confirm success? (show booking confirmation, payment link)
   • What are the exit phrases? ("Is there anything else I can help with?")

5. Edge Cases & Escalation

   • Out of stock / unavailable? (suggest alternatives, capture lead)
   • User changes mind mid-flow? (gracefully restart)
   • Angry customer? (empathize and escalate to human)

Example: Restaurant Reservation Flow

1. Greeting
   → "Hi! I'm here to help you reserve a table. What day works for you?"

2. Gather Requirements
   → Date, time, party size
   → If date unavailable → suggest nearby dates

3. Check Availability (Tool: check_tables)
   → If available → confirm details
   → If not → offer alternatives

4. Create Reservation (Tool: create_booking)
   → Show confirmation
   → Send confirmation email

5. Close
   → "Your table is booked! See you [date] at [time]."
   → Offer additional help

Pillar 4: Plan Data and Tool Requirements

Identify what data your agent needs access to and what actions it must perform. This bridges design to implementation.

Data Requirements:

• Real-time inventory/availability from your systems
• Pricing, product specs, policies
• Customer context (if personalized)

Tool Requirements:

• Core platform tools (time check, UI rendering, web scraping)
• Custom HTTP tools connecting to your APIs
• Authentication needs (API keys, bearer tokens)

Example: Otto (Product Sales)

Pillar 5: Define Success Metrics and Safeguards

How will you measure whether this agent is working? What limits prevent abuse?

Success Metrics:

• Conversation completion rate (% of sessions ending in booking/purchase)
• Average session duration (should match expected workflow)
• Customer satisfaction (post-conversation survey or implicit signals)
• Escalation rate (% requiring human intervention)
• Revenue impact (conversions, AOV increase)

Operational Safeguards:

• Concurrent Sessions: Max simultaneous conversations (prevents runaway costs)
• Session Duration: Hard cap per conversation (15 minutes is typical)
• Daily Quotas: Token/dollar limits per user or tenant
• Rate Limits: Requests per minute (blocks abusive scripts)

Example Limits for a Hotel Agent:

Max Concurrent Sessions: 20 (busy resort)
Max Session Duration: 15 minutes
Daily Token Cap: 300,000 tokens
Requests per Minute: 12 (per tenant)

Validation Checklist

Before moving to implementation, validate your design:

• Purpose is specific — Can you explain what the agent does in one sentence?
• Personality is documented — Would a stranger understand how the agent should sound?
• Workflows are mapped — Can you sketch the happy path and 2-3 edge cases?
• Data sources identified — Do you know which APIs provide the required data?
• Success criteria defined — How will you know if this agent is succeeding?
• Limits are reasonable — Do quotas protect cost without blocking real users?

Real-World Example: Cypress Resorts Concierge

Let's see a complete design in action:

Purpose: Enable website visitors to search available rooms and complete bookings without phone calls or forms.

Personality: Warm, attentive, luxury-focused — like a five-star concierge.

Core Workflow:

1. Greet → detect booking intent
2. Gather dates, guests, room type
3. Search availability (tool call)
4. Show matching rooms with photos
5. Confirm selection and create reservation
6. Display confirmation and escalate payment

Tools Needed:

• search_units — Query availability by dates/type
• get_unit_details — Fetch room specs and photos
• create_reservation — Book the room
• show_component — Display room catalog and confirmation

Success Metrics:

• 60%+ of conversations result in bookings
• Less than 5 minute average session duration
• Less than 10% escalation rate

Limits:

• 20 concurrent sessions (peak website traffic)
• 15 minute session cap
• 300K daily tokens

This design gives the implementation team everything needed to build, test, and deploy the agent successfully.

Next Steps

With your agent design complete, you're ready to move into implementation: