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Before your Pearl can answer questions accurately, it needs context. This step helps define the essential background information your agent will rely on during conversations.

Company NameGive your Pearl the name of the company it represents. This name may be used when Pearl introduces itself or provides company-related information.
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Company DescriptionAdd a brief company description including your industry, mission, or key services. This allows Pearl to answer questions with more contextual relevance.
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Pearl Knowledge BaseThis is where you teach Pearl what it needs to know to respond with relevance and accuracy. Add detailed information about your services, pricing, opening hours, locations, and any key operational data.
You can either write this content manually or upload a reference file.
Multiple documents can be added if needed. Supported formats: .doc, .docx, .txt, .pdf.
Whether you’re describing how your subscription plans work, listing available services, or clarifying your business hours, this section allows Pearl to access structured information that supports more precise answers.
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MemoryWhen enabled, Pearl remembers the user or lead, allowing it to seamlessly continue conversations from where they left off.
This feature is particularly useful for:
  • Multi-step processes
  • Follow-ups
  • Any scenario where continuity matters

Example use case: Hospitality

Let’s say a guest checks into a hotel. Pearl can:
  • Remember their room number
  • Greet them by name
  • Recall their preferences (like “extra towels” or “no wake-up call”)
  • Offer a smooth, personalized experience every time they call
Resetting MemoryNeed a fresh start? Pearl’s memory can be reset via API.This is especially important in contexts like hospitality, where once a guest checks out, Pearl clears the slate, ensuring the next visitor starts with a clean experience.
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Speech Recognition KeywordsSome words are just… not in the dictionary. Whether you’re using brand-specific terms, creative product names, or industry jargon, teaching Pearl how to recognize them makes all the difference.Use this feature to define:
  • Keywords: The unique word or name you want Pearl to catch
  • Pronunciations: Variations of how users might say it (spoken form)

Example

Let’s say your bakery sells a pastry called FluffoBun.Here’s how you’d define it:
  • Keyword: FluffoBun
  • Pronunciations: fluh-foh-bun, floof-oh-bun, fluff-bunb
    (Separate each pronunciation with a comma)
This helps Pearl match even creatively named terms to real user input, no matter how it’s pronounced.
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Speech Output PronunciationsSpeech Output Pronunciations let you fine-tune how Pearl pronounces specific words or short phrases out loud. You provide the text as it appears (Pearl says) and a simple phonetic respelling of how it should actually sound (Caller hears).What it doesWhenever Pearl is about to speak a word or phrase listed in Pearl says, it pronounces it using the Caller hears respelling instead. It changes the audio only: your scripts, variables, and node text stay exactly as you wrote them.When to use itReach for it whenever text-to-speech mispronounces something important, such as:
  • Brand and product names: Nikeny-kee
  • Acronyms you want spelled out: NLPearlN-L-Pearl
  • Industry terms: SQLsequel
  • Abbreviations you want expanded: Dr.Doctor
  • Foreign or uncommon words that need a specific phonetic reading
How to configure
1

Open the Knowledge Base

In the Flow Editor, open the Knowledge Base and scroll to Speech Output Pronunciations.
2

Add a row

In the empty row at the bottom, type the text in Pearl says, then the phonetic respelling in Caller hears.
3

Refine the respelling

Use plain, readable syllables separated by hyphens (e.g. ny-kee, kwa-san). No special phonetic alphabet is required, just write it the way it should sound.
4

Remove an entry

Use the trash icon on a row to delete it.
Write Caller hears the way it should be spoken, not spelled, e.g. 2024twenty twenty-four, or NLPearlN L Pearl. Keep it simple and phonetic.
Each row must have both fields filled: a Pearl says value and a Caller hears value. Otherwise the row is flagged as incomplete. Empty rows are ignored and dropped when you save.
Limits: up to 25 entries, and each field is capped at 50 characters.
Examples
Pearl saysCaller hearsWhy
Nikeny-keeBrand name
NLPearlN-L-PearlSpell out the name
SQLsequelPreferred pronunciation
Dr.DoctorExpand the abbreviation
2024twenty twenty-fourRead the year naturally
Speech Output Pronunciations vs. Speech Recognition KeywordsThese two Knowledge Base tools are complementary, so don’t mix them up:
  • Speech Output Pronunciations control how Pearl speaks (text-to-speech / output). Fields: Pearl saysCaller hears.
  • Speech Recognition Keywords help Pearl understand what the caller says (speech-to-text / input). Fields: a keyword plus one or more pronunciations it might be heard as.