Summary
Developer created 'The Oracle' - an open-source multimodal AI agent that operates in terminal, combining web search results with image analysis. Uses Vercel AI SDK, Anthropic/OpenAI models, and Valyu Deepsearch API to process both text and visual content. Provides cited answers with technical diagrams and latest web sources.
Opinion
Mainstream opinion shows interest in multimodal AI development. The post received positive engagement ("Whoa") and collaboration interest (u/AsatruLuke working on similar project). Key discussion points:
1. Technical implementation details (tools used)
2. Potential for terminal-based AI applications
3. Open-source approach enabling community contributions
No significant conflicts observed, though comment volume is limited.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Vercel AI SDK | Not provided | AI Development | Tool-calling, multimodality, LLM swapping |
| Anthropic/OpenAI | Not provided | AI Models | Choice between 4o or 3.5 Sonnet models |
| Valyu Deepsearch API | Not provided | Multimodal Search | Built specifically for AI, returns text + images |
| Node | Not provided | CLI Development | Used for creating terminal interface |
USER NEEDS
Pain Points:
- Existing AI agents rely solely on text from SEO-optimized search results
- Lack of multimodal analysis (images/diagrams/charts) in current solutions
Problems to Solve:
- Accessing and analyzing visual information from web sources
- Combining text and image context for comprehensive answers
- Providing verifiable citations for generated responses
Potential Solutions:
- Multimodal AI agents that process both text and images
- Integration of specialized search APIs for better context
- Terminal-based interface for developer accessibility
GROWTH FACTORS
Effective Strategies:
- Open-source development for community contributions
- Multimodal capabilities as product differentiator
Marketing & Acquisition:
- Showcasing technical implementation details (tools used)
- Targeting developer communities through terminal-based interface
Monetization & Product:
- Potential for API monetization (Deepsearch API example)
- Supporting multiple LLM providers (Anthropic/OpenAI)
User Engagement:
- Public GitHub repo for community collaboration
- Encouraging user feedback and project extensions