Overview
B2B platform to create and sell AI coaches. Includes video avatars (HeyGen), subscriptions, admin panel and API for websites, messengers and CRMs. Ready programs help to go live in weeks.
Ready coaches
- Ashley Copley — AI Coaching Companion. Programs: Mindset Reinforcement, Lifestyle Nudges, Goal Tracking, Personalized Insights.
- Michael Legge — Personal & Professional Growth. Programs: HEAL, UNTANGLE, SIMPLIFY, CREATE, COMMUNICATE, LEAD, BUILD.
Key features
- Video avatars via HeyGen API
- Subscriptions and billing (Stripe/PayPal)
- Admin dashboard and client interfaces
- Multilingual avatars for different markets
- Templates for popular niches (coaching, consulting, sales)
- API for integration to any site or app
Integrations
- OpenAI / Claude for dialogue personalization
- Stripe / PayPal billing
- CRM (AmoCRM, HubSpot, Salesforce)
- Messengers (Telegram, WhatsApp, FB Messenger)
- Web platforms (WordPress, Tilda, custom via API)
Deliverables
- Constructor for AI avatars + ready templates
- Billing and subscriptions system
- Admin panel and client area
- Public API for integrations
- Mobile‑friendly UI
Benefits
- Fast time‑to‑market for AI avatars business
- Built‑in monetization and scalable model
- Works for many niches: coaching, consulting, education, sales
- Automates client service with AI
Use cases
- AI coaches for paid 1‑1 sessions
- Financial advice or onboarding assistants
- EdTech: AI teachers and language tutors
- E‑commerce sales assistants on landing pages
- Corporate virtual assistants
Case study
Launched a platform with 3 AI coaches: HeyGen avatars, Stripe billing, admin dashboard. First sales in the first month; scale to 100+ clients per quarter. Dev time ~5 weeks.
Tech stack
React
Node.js
PostgreSQL
OpenAI / Claude
HeyGen API
Stripe / PayPal
Docker
AWS / GCP
Timeline: 3–6 weeks (depends on scope). Complexity: medium‑high.
Fast discovery
- Stakeholder interviews, KPIs, short glossary
- Domain map: sections/entities, user events and UI states
- Integrations map: data owners, SLAs, responsibilities
Practical build‑out
- Queued requests, media size limits
- Avatar generation + automatic moderation
- Quotas, logs/metrics, load management
Architecture notes
- FAISS/embeddings vs BM25/SimHash for de‑duplication
- VAD/streaming, diarization, punctuation restoration
- Alerting with noise suppression and severity levels
- Caching, queues, retries for robust processing
Pitfalls
- False duplicates: cosine thresholds tuning
- Domain drift — adapt LLM prompts and vocab
- Anti‑bot/429/5xx — graceful offline with cache
Quality & operations
- SLI/SLO: p95 latency, error budget, uptime
- Tests: unit/contract/E2E, load; canary releases
- Observability: structured logs, traces, metrics
- CI/CD, migrations, rollbacks, health/readiness
Security & data
- PII encryption at‑rest/in‑transit, key rotation
- Roles & access, log masking, audit
- Retention policies, TTL, regional compliance
Market snapshot
- AI coaching TAM grows ~30% YoY, up to $15B by 2028
- Automation cuts support costs by up to 40%
- Interactive avatars deliver 3× better engagement vs classic chatbots