$40,000 Burned. 3 POCs Failed. This Is What Finally Worked
Автор: Manifold AI Learning
Загружено: 2026-01-15
Просмотров: 219
📌 More real-world case studies:
👉 https://community.nachiketh.in
🎓 Learn to design production-grade agentic systems:
👉 https://bootcamp.nachiketh.in
This is a real production case study.
90 days.
3 different POCs.
$40,000 burned.
Zero systems deployed.
The team tried:
→ A complex multi-agent system
→ A simple single-agent prompt
→ LangGraph-based orchestration
All of them failed.
Not because the engineers were bad.
Not because the tools were bad.
Because the architecture didn’t match production constraints.
In this video, I break down:
• Why the multi-agent system was impossible to debug
• Why the single-agent prompt collapsed under edge cases
• Why LangGraph became unmaintainable at scale
• And the simple hybrid architecture that finally shipped
The final system:
✔ Deployed in 3 weeks
✔ Handles ~500 requests/day
✔ 99.4% success rate
✔ Easy to debug and extend
This isn’t theory.
This isn’t a demo.
This is what production actually looks like.
📌 More real-world case studies:
👉 https://community.nachiketh.in
🎓 Learn to design production-grade agentic systems:
👉 https://bootcamp.nachiketh.in
Architecture isn’t about “best practices”.
It’s about constraints, trade-offs, and debuggability.
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