ClawdTalk

type: product

full_name: ClawdTalk Personal Voice AI Assistant

product_line: Product A (B2C/Prosumer)

tagline: An AI that answers your phone, searches the web for you, and gets smarter every time you call

thesis: First-mover in personal voice AI with persistent memory -- the moat is the memory graph, not the voice technology

architecture: Telnyx Direct (TeXML) + Gemini 2.5 Flash + Three-Tier Memory (Redis/PostgreSQL/Qdrant)

voice: Telnyx NaturalHD (eucalyptus for AU, US English TBD)

memory_moat: Entity/decision/preference graph accumulates per user -- switching cost becomes extreme after 3 months

pricing_l1: $47/mo (Companion: 1 number, 120 min/mo)

pricing_l2: $97/mo (Assistant: 1 number, 500 min/mo)

pricing_l3: $197/mo (Executive: 2 numbers, unlimited min)

mvp_timeline: 7-day sprint

target_customer: AI-curious professionals, solo founders, content creators

competitive_advantage: No competitor ships voice + persistent memory + web search in a phone product

revenue_projection_month12: $22,750-34,750 MRR (Products A+B combined)

status: Sprint-ready, architecture validated


ClawdTalk Memory Moat

description: Accumulated personal knowledge graph that creates exponentially increasing switching costs over time

churn_reduction_vs_traditional: 2.17x revenue retention over 12 months

competitors_without_memory:
OpenAI ChatGPT Voice
Google Gemini Live
ElevenLabs ConvoAI
Apple Siri
Amazon Alexa+


name: ClawdTalk Three-Tier Memory Architecture

type: architecture

tier1_name: Hot Memory

tier1_store: Redis

tier1_content: Current session, last 3 conversations, active preferences

tier1_ttl: 7 days (refreshed on call)

tier2_name: Warm Memory

tier2_store: PostgreSQL

tier2_content: Full entity/decision/preference store, conversation summaries, user profile

tier3_name: Deep Memory

tier3_store: Qdrant

tier3_content: Semantic search across all conversations, fuzzy recall

extraction_model: Gemini 2.5 Flash

extraction_mode: Async post-call, non-blocking