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For Operators: Memory

It learns. It remembers. It gets better.

Your AI Persona absorbs everything you give it: documents, updates, corrections, and conversations. It learns from every interaction, remembers every client, and improves over time. Memory isn't a feature. It's how an AI Persona grows.

01. Architecture

Four layers of memory

Memory comes from two sources: what you deliberately feed in, and what the AI Persona learns on its own. Each layer serves a distinct purpose, and together they give your Persona the ability to know, recall, relate, and discover.

Short-Term Memory

The active context held during a single conversation. It tracks everything said so far: the topic, what was asked, what was answered, and any shifts in direction. When the session ends, short-term memory is compacted, not discarded. The substance is preserved and feeds into the Persona's long-term systems.

Live session, right now

What they're asking aboutEnterprise pricing
Budget they mentioned$2,000 / month
Last thing they saidDoes this include API access?
Turns in this conversation7 messages

Compacted when the conversation ends. Substance preserved.

Memory Maps

Structured schemas that the AI Persona generates on the fly. When a document is uploaded or data is added, the AI Persona determines what fields should exist and builds a structured map from the content. Unstructured and structured data alike are organized into these maps, making them usable for retrieval, reasoning, and external integration.

Map generated from upload

Discovery Call — Apex Logistics.pdf
ClientApex Logistics
IndustryFreight & logistics
Key ContactMarcus, Operations Director
BudgetUp to $3,500/mo
Sticking PointERP integration timeline

Treated History

The relational layer. The AI Persona catalogues conversations by user and topic, building associative memory over time. When something new comes up, it connects it to loosely related past conversations without being prompted.

Associative recall

Just picked up a new car

That's great. Does that mean you moved on from the one you told me about after the crash last year?

Linked to conversation from 12 months ago

Vector Search

Broad similarity retrieval that extends beyond structured maps and conversation history. The AI Persona can search across its full knowledge base using vector similarity, either through a third-party provider or through an LLM's built-in knowledge capacity. This layer handles queries where the answer isn't neatly categorized but exists somewhere in the AI Persona's accumulated knowledge.

Similarity search

When does Marcus want to renew?

Discovery Call · Mar 12

"…would want to revisit pricing around mid-year…"

Pricing Sheet Q1.xlsx

"…renewal requires 30-day notice…"

Follow-up call · Jul 3

"…budget confirmed for Q3 renewal…"

02. Feed it knowledge

Teach it what you know.

There's no single way to build a Persona's knowledge. Upload files and it reads them. Send it updates and it absorbs them. Train it through conversation and it adapts. Knowledge isn't static. It's something you add to, correct, and refine over time.

Documents and files

PDFs, Word files, plain text: product guides, service descriptions, policies, onboarding materials, legal terms

Spreadsheets and structured data

Excel or CSV files: pricing tables, inventory lists, client records, anything with rows and columns

Presentations and images

Slide decks, pitch materials, product images, diagrams: visual context the Persona can reference and describe

Information updates

Push new information to the Persona at any time. Price changes, policy updates, new product launches, seasonal adjustments. The Persona incorporates them immediately without needing a full document upload.

Training and correction

Teach the Persona through direct interaction. Correct a response it got wrong, clarify how it should handle a scenario, tell it what to prioritize. Each interaction refines its understanding.

Live data via API

Connect structured data sources directly (inventory systems, CRMs, databases) so memory stays current automatically

Teaching Aria

Behavior refinement · Apex Logistics

Aria's response

"Hello! I can assist you with our standard freight packages. Would you like me to send over our brochure?"

Your correction

"Don't mention brochures. Instead, ask about the client's shipment volume and timeline first."

Aria updated"Happy to help with your freight needs. To point you in the right direction, what's your typical shipment volume and when are you looking to start?"

Personality tuning

FormalToneFriendly
BriefDetail levelThorough
PassiveAssertivenessDirect

03. Teach

Train it. Refine it. Make it yours.

Every AI Persona starts with a Core Skill, the ability to communicate naturally. What happens next is yours to shape.

Correct a response that missed the mark. Adjust the tone. Tell it what to avoid and what to lead with. Over time, the Persona absorbs your feedback and makes it permanent, like raising and educating a new hire until they represent your brand exactly as you'd want.

Correct responses directly

Flag a reply you didn't like and tell the Persona what to say instead. It learns the correction and applies it going forward.

Tune personality traits

Adjust tone, assertiveness, detail level, and warmth. Dial each trait until the Persona sounds like your brand.

Reinforce what works

Mark responses you want more of. The Persona recognises what's working and weights those patterns higher in future conversations.

04. For operators

What memory means for your business

01

Feed it your business knowledge

Upload your product catalog, pricing sheets, service guides, internal FAQs, legal documents, or any file your AI Persona needs to know. Push updates when things change. Train it through conversation when a document isn't the right format. It reads, absorbs, and internalizes everything so when a client asks a question, it draws on your real knowledge, not guesswork.

02

Contact history without a CRM

Every time a client or prospect speaks with your AI Persona, their details, questions, and shared context are stored automatically. The next time they return, days or months later, your AI Persona picks up exactly where they left off. No manual data entry. No follow-up notes to write.

03

Lead qualification that happens in conversation

As your AI Persona talks to prospects, it tracks signals: intent language, budget mentions, company size, urgency cues. Over multiple sessions it builds a qualification profile automatically. When a lead is ready, your AI Persona knows and can surface them without you having to review transcripts.

04

Lineage memory across Persona generations

When you create a child Persona from a parent, it inherits a blend of that parent's long-term memory. Proven knowledge, learned client preferences, and successful response patterns carry forward. Each new generation of AI Personas starts ahead of where the last one began.

Memory snapshot

What Aria knows after 30 days

Documents you uploaded

Product Catalog 2024.pdfPricing Sheet Q1.xlsxFAQ & Objection Handling.docxService Overview Deck.pdf

4 files absorbed · 12 MB total · All indexed

Client profiles built

Marcus Chen

47 facts

2 days ago

Priya Nair

31 facts

5 days ago

David Osei

19 facts

12 days ago

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