SAAP - The Real Deal behind building AI Agents as Standalone Products
The Real Deal: Building AI Agents as Standalone Products
Hey LinkedIn fam! After spending months in the trenches building and shipping AI agents as standalone products, I wanted to share some hard-earned lessons. Let's cut through the hype and talk about what it actually takes to ship an AI agent as a packaged product that customers can run themselves.
Why I Switched from SaaS to SAAP
Let's be real - not everyone wants their AI agents running in the cloud. Many of my enterprise clients were crystal clear: they wanted the whole thing running on their infrastructure. Here's what finally pushed me to build standalone products:
1. A major healthcare client couldn't use our cloud solution due to HIPAA
2. A financial services company needed everything air-gapped
3. Several clients wanted to avoid unpredictable usage-based pricing
The Technical Nitty-Gritty
Here's what you actually need to make this work. I learned some of this the hard way!
This is how I structure agent deployments now
Real Talk: Deployment Challenges
The biggest headaches I faced weren't even in the code - they were in deployment. Here's what you need to handle:
The Integration Part That Nobody Talks About
This is the part that'll make or break your deployment. I learned to always include a robust local API:
Lessons from Production
After deploying to several enterprise clients, here's what I've learned works:
1. Package Everything
my-ai-agent/
├── models/ # Ship with CPU-only by default
├── scripts/
│ ├── install.sh # Make this idiot-proof
│ └── verify.sh # Trust but verify
├── config/
│ └── defaults.yml # Conservative defaults!
└── README.md # Write this like your life depends on it
2. Reality Check
- Your first deployment will fail. Plan for it.
- Customers will ignore system requirements. Handle it gracefully.
- Someone will try to run this on a Raspberry Pi. Have clear error messages ready.
The Update Problem
The Hard Truth About Maintenance
You'll need these monitoring hooks - future you will thank me:
What I'm Building Next
I'm currently working on making these agents even more standalone by:
1. Building better local model quantization
2. Creating smarter resource management
3. Improving the update mechanism
Want to Try This Yourself?
I've learned a ton building these systems, and I'm happy to help others avoid the same pitfalls. Drop a comment if you want me to do a deep dive on any specific part!
#AIEngineering #SoftwareDevelopment #SAAP #TechnicalArchitecture #Coding
Co-Founder | Explainer Video Producer 🎥 Explain Big Ideas & Increase Conversion!
7moYour insights on SAAP and practical code snippets are invaluable. This guide will empower many engineers. Looking forward to seeing the impact.