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Agentic AI System for Production Incident Resolution
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
Inspired by a conversation on:
AI Chat: ChatGPT & AI News, Artificial Intelligence, OpenAI, Machine Learning
Agentic AI Engineers with Spiros Xanthos, Resolve AI CEO
Host: Jaeden Schafer
Timestamp: 00:00:00 - 00:01:59
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
Direct Quote
"They're letting engineers focus on building instead of firefighting."
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Sign InHow should I validate this saas idea before building it?
2:34 PM
Great question! For a saas idea like this, I'd recommend starting with these validation steps:
- Customer interviews: Talk to Technical to understand their pain points
- MVP approach: Build a simple landing page to test demand
- Competitor analysis: Research existing solutions and identify gaps
Would you like me to help you create a specific validation plan for your high difficulty idea?
2:35 PM
Yes, and what about the technical implementation? Should I build this myself or hire a team?
2:36 PM
Based on your idea's complexity and 6-12 months, here's my recommendation:
Technical Strategy:
- Start with no-code tools for rapid prototyping
- Consider your technical background and available > $10,000
- Plan for scalability from day one
I can help you create a detailed technical roadmap and resource allocation plan...
2:37 PM
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Sign InSimilar Ideas
Proactive AI Monitoring and Incident Prevention Tool
This concept revolves around creating an AI tool that not only reacts to incidents but proactively monitors systems to prevent them before they escalate into serious issues. By leveraging AI's capability to analyze system metrics and user behavior, the tool can assess potential risks and anomalies, initiating investigations before alerts are triggered. This solution is ideal for organizations that wish to enhance their operational reliability and minimize interruptions in service delivery. The target audience includes larger enterprises and tech companies that experience frequent system changes. Implementation may involve integrating AI with existing monitoring tools and developing algorithms that predict potential incidents based on historical data.