SeducSer AI Coach
From 3 exhausted coaches to scalable multilingual 24/7 system
The Problem
Client had 3 coaches doing 1-on-1 sessions. Calendar full. Revenue stuck at $8K/month.
We can't scale: more clients = hiring more coaches = complexity we don't want. Is it possible to automate personal development coaching without losing quality?
The Transformation
Multilingual system deployed in production serving 24/7. $67K saved vs. hiring equivalent team.
From 3 exhausted coaches → Scalable automated system
Tech Stack
- n8n (automation tool): 40+ modular workflows
- PostgreSQL + pgvector (database): Persistent contextual memory
- Claude Sonnet 4 + Llama 3.1 local: Intelligent hybrid routing
- Telescopic compression: Proprietary context algorithm
Particular System Challenges
- Ethical limits vs. effectiveness: Balance effective personal development coaching responses without crossing ethical limits that trigger censorship
- Exponential cost control: Long conversations could spike costs; needed context compression without losing semantic richness
- Real-time decisions: System must automatically decide when to push for conversion vs. when to discard unqualified prospect
- Multi-agent coherence: Maintain personality, brand identity, and consistent context across 6 specialized agents working in coordination
- Retry strategy: Ensure any agent with incorrect output can automatically retry with corrected prompt to maintain expected format
Key Decisions
- seducserCase.architecture.decisions.items.routing
- Modular architecture: Independent components that client can replace without breaking the entire system
- Monitoring from day 1: Complete logging for continuous optimization based on real data
Equivalent Development Cost
With traditional team: $520K-750K (18-24 months, salaries + overhead + infrastructure)
With specialized consultant: Fraction of the cost
Client has 100% ownership of code and documentation
Complete stack documented so their team can maintain it
Training included in handoff
Not magic. Auditable engineering.
Every execution generates a complete trace with 5 depth levels. The client can audit any conversation, identify edge cases, and optimize costs without depending on me.
Execution logs
Which workflows ran
User journey
Every user step
Agent decisions
Why the agent decided
LLM costs
Exact cost per message
The client can debug, optimize and scale without me.
Read about my custom observability stack →Next Steps
See the SeducSer system in action
Interact with the real production system. Test the quality of conversational coaching and instant response.
Try SeducSer live →Verifiable system in production · Multilingual · 24/7
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