Why do most AI agent implementations feel like expensive tech demos?

I've been deep in the AI orchestration rabbit hole for months, and I keep seeing the same pattern: amazing demos that completely fall apart when you try to use them for real work.

The pattern I'm seeing everywhere:

Demo: "Look, my AI agent can write emails!"
Reality: Fails 40% of the time, costs $200/month in API calls, needs constant babysitting

The €40/day reality check

I burned through €40+ daily on OpenAI APIs building a multi-agent system. Most of that budget went to:

Infinite loops (agents creating tasks for each other endlessly)
Context switching overhead (each handoff = new expensive call)
Quality control failures (had to re-run everything 2-3 times)

The brutal truth: 90% of my code isn't AI logic. It's error handling, rate limiting, and preventing the system from eating my budget alive.

What actually works vs what gets hyped

What gets hyped: "AI agents that can do anything!"
What actually works: Extremely specialized agents with narrow, well-defined roles

What gets hyped: "Autonomous AI workforce!"
What actually works: AI + human checkpoints at every critical decision

What gets hyped: "Just describe what you want in natural language!"
What actually works: Structured prompts, schemas, and extensive prompt engineering

The question that's been bugging me

Are we in an "AI agent winter" where everyone's building cool demos but nobody's shipping production systems that actually work reliably?

Or am I missing something fundamental about making these systems production-ready?

What's been your experience?

Have you built AI agents that actually work in production? What was the biggest challenge?
Are you seeing reliable AI implementations in your industry? What makes them work?
Am I being too pessimistic about the current state of AI orchestration?

I'm genuinely curious because the gap between AI demos and AI systems that ship feels massive right now.

Currently working on documenting these learnings in a technical deep-dive. The contrast between expectations vs reality has been... educational.