Contextual Design for Solo Entrepreneurs
The solo entrepreneur building an AI-powered SaaS doesn't know the discipline of "what to put into context window when how and at what cost." This free + gated mini-course teaches five fundamental chapters applied in real-world use cases (project management PM, human resources HR, legal, customer success).
Because today, because this course
- Disciplina nuova, gap didattico enorme. 36% delle startup 2026 sono solo-founded (Startup Genome 2025). Esplosione di framework AI agent (AutoGen, CrewAI, LangGraph) ma zero materiale didattico italiano end-to-end.
- Costo è il bottleneck invisibile. Il solopreneur medio spende €200+/mese in token perché non sa come routing, cache, batch. I 5 moduli di questo corso producono risparmio immediato 40-70%.
- Le basi non cambieranno. Framework specifici (LangGraph, CrewAI) cambieranno in 18 mesi. Le discipline (retrieve, augment, route, observe) no. Il corso è 80% disciplina, 20% tools.
Five modules
- 01Inizia →
System prompting: cosa dire al modello (e cosa no) GRATIS
Fondamenti di system prompt: ruolo, tono, constraint, policy di rifiuto. Pattern "role + task + context + format + tone".
- 02Inizia →
RAG strategy: retrieve, augment, generate, evaluate GRATIS
Quando serve RAG (e quando no). Chunking strategies. Embedding model selection. Cross-encoder re-ranking. Evaluation loop.
- 03Sblocca →
Agent orchestration: quando serve un agent (quando no) 🔒 Newsletter
Architetture multi-agent, LangGraph/CrewAI/AutoGen. Planner / Executor / Reflector. Cost-awareness vs gadget.
- 04Sblocca →
Cost optimization: routing model + prompt caching 🔒 Newsletter
Routing Haiku/Sonnet/Opus. Prompt caching Anthropic (90% saving). Batch API. Streaming vs batch. Token budget.
- 05Sblocca →
Production monitoring: tracing, evals, feedback loop 🔒 Newsletter
Langfuse / Arize / Helicone / Phoenix. Trace spans, latency, cost per request, hallucination detection. Feedback → prompt iteration loop.
Template Editor (Beta)
Coming soon is a tool that generates custom role-based context patterns for PMs, HRS, Legal and Customer Success teams based on your requirements. Currently available as an Open-Source Starter Set on GitHub.
github.com/fedcal/context-engineering-patterns (coming soon) →Unlock modules 3-5 and the GitHub Dataset, along with 10 practical use cases.
Sign up for the newsletter to access modules "Agent Orchestration" (75 minutes), “Cost Optimization” (60 minutes with return on investment calculation for each technique) and “Production Monitoring” (75 minutes, including actual traces).