Cue Intelligence

AI that compounds with every conversation

Most AI assistants start from zero every time. Cue builds a persistent intelligence layer around your business — learning your clients, your market, your patterns, and your preferences. The longer you use it, the more valuable it becomes.

Knowledge Graph

Entity-linked memory that compounds

Cue doesn't store flat notes — it builds a structured knowledge graph of your business. Clients, services, rules, preferences, and goals are linked as entities with relationships. When you mention a client, Cue retrieves everything it knows about them: preferences, budget history, past projects, communication style.

  • Entities auto-merge — updating information about 'Sarah Chen' always enriches the same node
  • Relationships link entities: Sarah prefers natural light, purchased your Wedding Package, learned 'always bring backup body' from her event
  • Contextual retrieval: only relevant knowledge is injected per conversation, not everything
  • 500 nodes per profile, unlimited growth over time

Behavioral Learning

Adapts to how you actually work

Every time Cue suggests a price and you adjust it, drafts a quote and you edit it, or recommends an action and you take a different one — Cue learns. Over time, it calibrates its suggestions to match your decision-making patterns.

  • Pricing calibration: if you consistently price 15% above suggestions, Cue adjusts upward
  • Draft refinement: tracks which fields you edit most and focuses on getting them right
  • Acceptance tracking: learns which types of suggestions you follow vs. override
  • 90-day rolling window keeps patterns current as your business evolves

Market Benchmarks

Data from the Businys network

Anonymized pricing data from the Businys network gives Cue real market context. When you're on a pricing page, Cue knows the 25th, 50th, and 75th percentile rates for your practice — with geographic fallback from regional to national to global.

  • Percentile positioning: 'Your average quote is 15% below the market median'
  • Sample size transparency: always shows how many data points back the benchmark
  • Geographic specificity: regional → national → global fallback chain
  • Acceptance rate data: how often quotes at each price range get accepted

Proactive Outreach

Surfaces who to contact and why

Cue doesn't wait for you to ask. It actively monitors your client relationships and surfaces opportunities: dormant clients who haven't engaged in months, booking cycles that are overdue, recently completed projects ripe for follow-up, and proposals sitting without a response.

  • Dormant client detection: flags clients with 60+ days of inactivity
  • Booking cycle analysis: 'Mike typically books every 6 weeks, it's been 10'
  • Post-project follow-up windows: 7-14 days after completion is ideal for rebooking
  • Stale pipeline alerts: quotes and proposals sent 7+ days ago with no response
  • Health band monitoring: alerts when client engagement drops from healthy to at-risk

Location Intelligence

Pricing context for your market

Bureau of Labor Statistics wage data across 20 US states for relevant occupations. Cue adjusts its pricing advice based on where you operate — not national averages. Freelance rate guidance accounts for self-employment overhead.

  • State-level wage percentiles (p25, p50, p75) from BLS OEWS data
  • Occupation mapping: your practice maps to the relevant BLS category
  • Freelance context: BLS reflects employed wages, Cue notes the overhead premium
  • National fallback when state-level data isn't available

Historical Patterns

Your business data tells a story

Cue computes long-term patterns from your actual business data: which project types you win most, how your deal sizes are trending, seasonal booking patterns, client lifetime value, and payment velocity. Real numbers, not guesses.

  • Win rate by project type: 'Wedding quotes: 65% accepted, Corporate: 42%'
  • Deal size trends: 'Your average quote has grown from $1,800 to $2,400 over 6 months'
  • Seasonal volume: 'You're typically 40% busier in May-June'
  • Client LTV: 'Repeat clients average $4,200 vs $1,500 for one-time'
  • Payment velocity: 'Clients typically pay within 8 days'

Knowledge Refresh

Always up to date

A weekly background process fetches authoritative sources — IRS publications, industry organization standards, certification body updates — extracts relevant changes, and injects them into Cue's knowledge. Domain expertise that doesn't go stale.

  • IRS: self-employment tax rates, quarterly deadlines, deduction rules
  • Industry orgs: PPA, AIGA, NSCA, ACE standards and pricing benchmarks
  • Auto-extraction via AI: relevant updates summarized and stored with 30-day TTL
  • Source attribution: Cue cites where information comes from

Temporal Awareness

Knows what's happening now

Cue sees your upcoming deadlines, booking density trends, seasonal context for your practice, and approaching tax deadlines. It doesn't just answer questions — it contextualizes advice with what's happening in your business right now.

  • Upcoming deadlines: invoices due, contracts expiring, bookings this week
  • Booking density: 'This week is busier than last week, and busier than this time last year'
  • Seasonal guidance: 'Peak wedding season — consider raising rates for remaining dates'
  • Tax alerts: 'Quarterly estimated tax deadline in 12 days'

The moat is time

After a month, Cue knows your top clients and their preferences. After three months, it understands your seasonal patterns and pricing sweet spots. After six months, it has a richer picture of your business than any advisor could build from scratch.

This isn't AI as a feature. It's AI as a foundation — one that gets more valuable the longer you build on it.

Start building your intelligence layer