title: Proprietary Intelligence Graph

content: Create a proprietary internal knowledge graph that connects disparate data points (e.g., identifying that a customer in a ChatGPT log is the same entity as a contact in the CRM). Rationale: Exporting gives raw text; staying provides interconnected intelligence that cannot be recreated easily.


title: Hyper-optimized Query Engine

content: Tune the FastMCP protocol and specific PostgreSQL/Qdrant/Redis stack into a hyper-optimized query engine. Rationale: The 'speed of thought' performance becomes a feature; querying raw exports on competitor systems is noticeably slower.


title: Enterprise Compliance Infrastructure

content: Initiate SOC 2 Type 1 audit immediately. Use Elestio infrastructure to offer data residency in US, EU, and APAC regions. Rationale: Trust and risk-mitigation are paramount for enterprise sales; compliance is the cost of entry.


title: Compounding Value Dashboard

content: Visualize the brain's growth with a dashboard displaying 'Memories Synced', 'Connections Formed', and 'Insights Discovered' as an exponential curve. Rationale: Users tangibly see the asset they are building, making it feel indispensable.


title: Proactive Insights Engine

content: The system actively generates alerts and reports, such as 'Sunaiva has learned that customers who mention Feature X are 75% more likely to churn.' Rationale: This makes the system feel alive, growing, and indispensable.


title: Sunaiva App Store Platform

content: Create an app marketplace with tiered API access (free read-only, paid read/write), a 15-20% revenue share, strict security vetting, and mandatory 'Powered by Sunaiva' co-branding. Rationale: Transforms the MCP into a platform, creating a self-reinforcing moat.


title: Progressive Deepening (6-Month Journey)

content: A 6-month lock-in journey: M1 (Connect 1 source -> Dashboard), M2 (Connect CRM -> Link to revenue), M3 (Connect P2 Widget -> Inherit brain), M4 (System suggests next step), M5 (Weekly insight emails), M6 (Introduce P3/P4 -> Deep integration).

steps: Month 1: Connect one data source (e.g., ChatGPT history) for instant dashboard

steps: Month 2: Connect CRM to link conversations to revenue

steps: Month 3: Connect P2 Talking Widget to inherit brain

steps: Month 4: System suggests next step (e.g., upload pricing PDF)

steps: Month 5: Send automated weekly insight emails

steps: Month 6: Introduce P3 Browser Agent and P4 Radar Audit


title: Enterprise Bus Factor Plan

content: A two-step trust plan: 1. Sign legal agreement with data escrow service for full export if Sunaiva fails. 2. Offer automated daily/weekly exports to customer's S3/Azure.

steps: Data Escrow: Legal agreement for full export

steps: Automated Backups: Daily/weekly exports to customer cloud


title: Ecosystem Entanglement

content: Every product (P2-P5) must become deeply dependent on the MCP's unique intelligence. The P2 Talking Widget inherits personality, not just facts. Rationale: Migrating away means re-training and re-configuring every agent from scratch.


title: The Business's Brain Frame

content: Frame the MCP as the company's persistent, shared brain. Marketing language should frame leaving as 'inducing corporate amnesia'. Rationale: Psychological lock-in makes switching feel like a loss of identity.


title: Service Layer Moat

content: The moat consists of three layers: 1. Intelligence Layer (proprietary derived data assets), 2. Managed Service (hosting, scaling, security), 3. Optimized Ecosystem (P2-P5 finely tuned to MCP). Rationale: Competitors can implement the protocol but cannot replicate the R&D, service, or entire product suite.


title: Memory Depth Score (MDS)

content: MDS = (Data Sources Connected) x (Data Volume) x (Integrated Apps) x (Daily Active Users). Rationale: Churn rate is inversely proportional to MDS.


title: Customer Lifetime Value (CLV) Trajectory

content: CLV evolves over time: Months 1-6 (~1.5x ACV), Months 7-12 (~3x ACV), Months 13-24+ (~5-7x ACV). The critical inflection point for 'lobotomy' switching costs is between months 9 and 12.


title: Highlight Emergent Intelligence

content: Use notifications to surface novel insights (e.g., 'Customers mentioning Feature X are 75% more likely to churn'). Rationale: This feels like the system is growing and learning, making it feel indispensable.


title: P2 Talking Widget Integration

content: The P2 Talking Widget should connect to the MCP to inherit the personality and context of past conversations, not just pull raw facts. Rationale: Creates deep dependency on the memory system.


title: Enrichment Pipeline

content: The 4-step data processing pipeline: 1. Ingest & Normalize (Raw logs), 2. Entity Extraction & Canonicalization (Merge variations like 'John Smith' and 'jsmith'), 3. Relationship Inference (Link entities like 'works_for'), 4. Temporal & Sentiment Analysis (Historical ledger). Rationale: Transforms raw logs into irreplaceable derived assets.