Wow, my previous post about AI agents really took off! Thanks for all the attention. I’ve gone through every comment and wanted to address some common questions.
My go-to tech stack:
- For complex agents and RAG: LangChain
- Vector storage: Pinecone
- Multi-agent systems: Crew AI
- Backend: FastAPI with Next.js frontend (or Streamlit when I’m in a rush)
- No-code workflows: n8n
- Deployment: Containerized on AWS or Azure
Pricing approach:
I aim for predictable costs:
- Initial setup: $3,500-$6,000
- Monthly upkeep: $500-$1,500
- API costs: Passed to client
Finding business problems:
- Observe stakeholders for 1-2 days
- Identify repetitive tasks
- Measure time spent
- Calculate costs
- Focus on $10k+/year issues
Real-world deployment:
- Always needs post-launch adjustments
- Prioritize reliability
- Create easy-to-understand dashboards
- Implement simple emergency controls
Common newbie mistake:
Trying to create a jack-of-all-trades agent instead of nailing one specific problem.
Any other questions? I might share my full client onboarding process if there’s interest.
I’ve been implementing AI agents for a while now, and your insights resonate with my experiences. One thing I’d add is the importance of user feedback loops. We’ve found that setting up a system for users to easily report issues or suggest improvements has been crucial for refining our agents over time.
Also, regarding deployment, we’ve had success with a phased rollout approach. We typically start with a small pilot group, gather feedback, make adjustments, and then gradually expand. This has helped us catch potential issues early and build user trust.
For those just starting out, I’d recommend focusing on thorough documentation from day one. It’s easy to overlook when you’re eager to get the agent up and running, but solid documentation saves countless hours down the line, especially when onboarding new team members or troubleshooting.
Lastly, don’t underestimate the value of regular check-ins with stakeholders. We schedule monthly reviews to ensure the agent continues to meet evolving business needs. It’s been key to maintaining long-term client relationships.