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The settings below affect the agent’s core identity and response behavior.

General settings

Name

Your internal display name for this agent.
  • Shows in the Agents sidebar and settings screens
  • Helps teammates identify the right agent quickly
Best practices
  • Use role-based names (Support Assistant, Billing Assistant)
  • Avoid ambiguous names (Agent 1, Test Bot)

Avatar

Profile image used for this agent in UI previews and agent lists.
  • Purely visual/identity
  • Does not change model behavior
Best practices
  • Use a clear, brand-aligned icon
  • Keep style consistent across all agents in a workspace

ID

Read-only unique ID for the agent, with copy-to-clipboard.
  • Useful for support/debugging
  • Safe to share internally when referencing a specific agent config

Guidance settings (behavior controls)

These are the most important controls for output quality.

Tone

Controls how the agent says things. Available options:
  • Warm
  • Neutral
  • Professional
  • Direct
  • Witty

When to use each tone

ToneBest forWatch out for
WarmCustomer support, high-empathy momentsCan become verbose or too casual
NeutralMixed workloads, general supportCan feel generic if overused
ProfessionalB2B, compliance-heavy, formal commsCan sound rigid if over-formal
DirectHigh-volume queues, urgent troubleshootingCan sound abrupt if not softened
WittyBrand voice with personalityCan sound flippant in sensitive cases

Tone best practices

  • Choose one tone per agent and keep it stable
  • Match tone to audience (B2B vs consumer)
  • If you use Witty, add clear prohibited phrases and context guardrails

Response length

Controls how much detail the agent gives. Available options:
  • Short
  • Standard
  • Long

How to choose

LengthBest forRisk
ShortHigh-volume support, quick confirmationsMay omit required detail
StandardMost support teams (default recommendation)Low risk
LongComplex technical issues, policy-heavy answersCan overwhelm customers

Prohibited phrases

A managed list of words/phrases the agent should avoid using when generating responses. Examples:
  • “That’s our policy”
  • “I can’t help with that”
  • “As an AI language model”

How it works

  • You maintain the list by clicking Manage
  • The system instructs the model to never use these phrases
For strict compliance needs, include phrase variants and continuously review responses.

Context

Business context that helps the agent understand your business.
Think of this as important knowledge that you want your agent to know about your business.

What to include

  • Product/service scope
  • Support boundaries (what you do and don’t support)
  • Contact and escalation paths
  • Key policies (refunds, SLAs, shipping windows)
  • Canonical links or docs to trust

What not to include

  • Secrets (API keys, passwords, private credentials)
  • Time-sensitive data likely to go stale quickly
  • Ambiguous or conflicting policy text

Good context example

Weav is a B2B customer support platform for SMB teams. Support hours: Mon–Fri, 9am–6pm ET. Refund policy: monthly plans can be refunded within 14 days of first payment. For billing disputes, route customers to billing@weav.com and ask for invoice ID. Do not provide legal advice or respond to questions unrelated to Weav. For security requests, escalate to security@weav.com.

Bad context example

We are the best support company. Be helpful and nice. We do many things.

Context best practices

  • Write for decisions, not marketing
  • Use short bullets and explicit rules
  • Update when policy/process changes
  • Add examples of edge cases your team sees often

How these settings work together

At generation time, the agent is guided by:
  1. Base system prompt
  2. Your Context
  3. Your Response length
  4. Your Tone
  5. Your Prohibited phrases
This means all four guidance settings are cumulative.
A weak or vague context can still reduce quality even if tone and length are configured well.