Your AI Works in Demo.
It's Breaking in Production.
Most founders are shipping "vibe-coded" agents with no error handling, no recovery logic, and no safety net. That's not a chatbot problem. That's an infrastructure problem, and it's going to cost you.
Founders Building With AI Are All Hitting the Same Invisible Wall
ChatGPT and Claude made AI feel easy. You shipped the agent, the demo worked, investors were impressed.
Then it hit production and broke.
"An agent that launches on an event... and recovers if anything breaks mid-run. That's not a chat interface problem. That's an infrastructure problem."
— Founder, AI-native startup
B2C AI Is Optimized for Conversation.
Production AI Is a Completely Different Discipline.
When agentic workflows meet the real world, the cracks appear fast. Here's what founders discover too late:
Silent Failures Mid-Run
Zero alerts. Zero visibility. Your workflow collapses and you're the last to know.
No Human-in-the-Loop
Edge cases appear with no triggers, no escalation path, and no safety net to catch them.
Collapse Under Load
Workflows that performed flawlessly in demo disintegrate under real-world inputs and volume.
Zero Observability
You have no idea what your agents are actually doing, until your customers tell you it's broken.
Why Agentic Workflows Break in Production
The failure modes are consistent across every deployment. Understanding them is the first step to fixing them.
What Production-Grade AI Actually Requires
After studying dozens of agentic deployments and documenting the patterns in *21 Keys to AI Orchestration*, the failure modes are predictable and preventable.
The founders shipping reliable AI aren't smarter. They have the right infrastructure framework.
GTMSOS Labs works with founders to:
Audit agentic architectures for structural failure points
Design human-in-the-loop triggers and recovery logic
Build the observability layer your AI is missing
Turn fragile demos into production-ready infrastructure
Doug Skinner
Author, 21 Keys to AI Orchestration
Founder, GTMSOS Labs
Field-tested frameworks derived from real agentic deployments, not theory, not hype. Patterns that actually hold up in production.
The Difference Between Fragile and Production-Grade
Most agentic stacks look identical from the outside. The difference lives in the infrastructure layer beneath.
❌ Fragile AI
- No error handling or retry logic
- Silent failures with no alerting
- No observability or logging
- No human escalation triggers
- Collapses under unexpected inputs
✅ Production-Grade AI
- Structured error handling at every step
- Real-time alerting and monitoring
- Full observability into agent behavior
- Human-in-the-loop at critical junctions
- Resilient under load and edge cases
The AI Orchestration Stress-Test
A 10-Point Reliability Audit for Agentic Workflows
Derived from the frameworks in 21 Keys to AI Orchestration, A field guide built from real agentic deployments, not academic theory.
This audit identifies exactly where your workflows will break before your customers find out.
Architecture Review
Map your current agentic stack against production-grade standards
Failure Point Identification
Pinpoint the exact nodes where your workflows are most likely to break
Reliability Scoring
Score your infrastructure across 10 critical reliability dimensions
Remediation Roadmap
Walk away with a clear, prioritized path to production-grade reliability
What Happens on Your Strategy Call
A focused 30-minute session with Doug Skinner. No pitch. No fluff. Just an honest assessment of where your AI infrastructure stands.
Architecture Walkthrough
We review your current agentic stack. What you've built, how it's wired, and where the load is concentrated.
Failure Point Mapping
We identify your highest-risk failure points using the 21 Keys framework. The ones most likely to surface in production.
Reliability Audit
We run through the 10-point stress-test live, scoring your infrastructure against production-grade benchmarks.
Clear Path Forward
You leave with a concrete, prioritized roadmap, not a vague list of suggestions, but specific next steps.
Ready to Stress-Test Your AI?
Book a 30-minute strategy call with Doug Skinner at GTMSOS Labs. We'll walk through your current architecture, identify your highest-risk failure points, and map a clear path to production-grade reliability.
No Pitch
This isn't a sales call disguised as a consultation. It's a real working session.
No Fluff
We skip the generic advice and go straight to your specific architecture and failure modes.
Honest Assessment
You'll know exactly where your AI infrastructure stands, and what it will take to make it production-ready.
Doug Skinner | GTMSOS Labs | Author, 21 Keys to AI Orchestration
GTMSOS Labs
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