AI Agents Community Insights
2 min readTrust-Building for AI Agencies
Community members emphasize that design alone doesn’t build trust—high-end design merely buys 30 seconds of attention. The key differentiator is demonstrating deep technical understanding:
- Avoid generic markers: Stock photos of robots or glowing brain icons signal superficial knowledge
- Show technical proof: Display workflow architecture and API stacks used to solve real problems
- Lead with case studies: Founders buy solutions to headaches, not “AI” buzzwords
- Add transparency: Be honest about your passion and work rather than relying on marketing language
- Professional fundamentals: Include physical address, proper branding (avoid default Vite favicons)
Agent Economics and Profitability
Discussions reveal mixed perspectives on agent monetization:
- Market saturation risk: Quick-money opportunities attract competitors, leading to margin compression
- Viable examples: n8n flows converting YouTube transcripts to SEO blog posts can pay for API credits
- Long-term sustainability: First-mover advantage and network effects may be necessary to avoid downward pricing pressure
Technical Implementation Patterns
Kubrick and Programming Complexity
A presentation on reducing programming complexity through declarative systems and relation algebra for reliable agentic programming, focusing on AI-human collaboration.
Agent Tool Access
For specialized tasks like CAD design (Fusion 360), agents need actual tool access via APIs or plugins. Without direct API integration, agents are limited to generating scripts and hoping the CAD system accepts them. Effective patterns include:
- Tool-calling loops
- Propose change → run → check errors → iterate
Image Scraping with AI
Multiple approaches to agent-based image discovery:
- Regex detection schemes filtering by multiple keywords and resolution
- Web scraping with keyword validation via image alt attributes
- Vision-language models (like Qwen3-VL-8B) for semantic validation of images
Community Resources
The r/AI_Agents wiki is in development and actively being expanded for AI agent resources and questions.