Context engineering is how you teach AI about your company. Upload once, and your brand guidelines, policies, and expertise flow into every conversation.
Brand Guidelines.pdf
2.4 MB
Pricing Matrix.xlsx
856 KB
company.com/about
URL
AI Extracting Knowledge
Identifying categories and key information...
01 / Process
Expert& transforms your existing documents into structured context that AI can understand and apply intelligently.
Upload files, paste text, or scrape URLs. We accept PDFs, docs, spreadsheets, and more.
AI organizes your content into AI-friendly formats with semantic categorization and confidence scoring.
Context flows into AI conversations automatically based on tool needs and user roles.
02 / Sources
Your expertise lives in many places. Expert& pulls it all together into one searchable, AI-ready knowledge base.
Drop files here
or click to browse
Brand Guidelines 2025.pdf
2.4 MB
Sales Playbook.docx
856 KB
AI Extraction
POWERED_BY_CLAUDE
Brand Voice Guidelines
brand_voice_guidelinesOur brand voice is confident yet approachable. We avoid jargon and speak directly to...
Pricing Structure 2025
pricing_structure_2025Enterprise tier starts at $500/month with volume discounts available for...
Compliance Requirements
compliance_requirementsAll customer data must be encrypted at rest. GDPR compliance requires...
3 contexts extracted
2 high confidence, 1 needs review
03 / Extraction
Our extraction engine doesn't just chunk documents—it understands them. Each piece of context is identified, categorized, and tagged for optimal retrieval.
Semantic Understanding
AI identifies distinct concepts, not arbitrary text chunks
Auto-Categorization
Marketing, Sales, Legal, Engineering—sorted automatically
Confidence Scoring
High confidence contexts go live; others flagged for review
Smart Tagging
Keywords and themes extracted for intelligent retrieval
04 / Schema
Every context item is structured for optimal AI retrieval, with metadata that enables intelligent selection and injection.
interface CompanyContext {
id: string;
context_key: string; // "brand_voice_guidelines"
context_data: {
content: string; // The actual knowledge
summary?: string; // AI-generated summary
examples?: string[]; // Usage examples
};
metadata: {
category: Category; // marketing, sales, legal...
tags: string[]; // For discovery
priority: Priority; // Injection order
scope: Scope; // universal, team, role
// Access control
departments?: string[];
required_roles?: string[];
sensitive?: boolean;
// Lifecycle
created_by: string;
expires_at?: Date;
confidence: number; // AI extraction confidence
};
}Universal contexts apply everywhere. Team contexts stay in team. Role-based for specialists.
High-priority contexts injected first. Never exceed token limits with smart truncation.
Time-sensitive content auto-expires. Quarterly pricing? Gone when Q2 starts.
05 / Injection
Not all context is relevant to every conversation. Expert& intelligently selects what to inject based on tool needs, user roles, and content matching.
Each tool specifies which context categories, tags, or specific keys it needs.
context_hints: ['brand_voice', 'pricing']Sensitive contexts only injected if user has required role.
required_roles: ['sales', 'manager']Tags and categories matched. Higher priority contexts selected first.
SELECT * WHERE tags @> tool.hintsSelected contexts formatted and injected into the system prompt.
// XML or text format based on tool configJoin our design partner program and get hands-on help building your context library.