The author discusses their ambitious "automate-my-life" project that aggregates responses from multiple AI models to achieve the most accurate answers for online queries, highlighting the challenges posed by varying data and the cost implications of this complex approach.
AI integration, RAG (retrieval-augmented generation), embedding models, multiple search engine aggregation
2024-12-14
- website
Highlight 1
The aggregation of multiple AI models ensures diverse and well-rounded answers, making it ideal for nuanced queries where single models may provide incomplete or biased information.
Highlight 2
The iterative RAG search process improves accuracy by cross-referencing various data sources, providing more reliable results for online searches.
Highlight 3
The system’s design allows for a high level of customization in terms of input models, making it a powerful tool for users seeking comprehensive, cross-checked information.
Improvement 1
The speed of the service could be significantly improved, as the current slow processing time may frustrate users who need faster responses.
Improvement 2
The high cost of the service (10-30 cents per query) may limit its appeal to casual users. A more cost-effective pricing model or tiered options would help attract a broader audience.
Improvement 3
The interface and user experience (UI/UX) could be more intuitive, particularly for users unfamiliar with AI and complex search aggregation systems.
Product Functionality
Consider introducing a more streamlined process for basic queries to speed up the response time, possibly with a simplified version of the aggregation model for users who don't need extensive cross-checking.
UI & UX
The website could benefit from a more intuitive user interface, making it easier for non-technical users to understand how to use the tool and interpret the results. Clearer instructions or visual aids could help.
SEO or Marketing
Improve SEO by optimizing the site for search terms related to advanced AI research tools, multi-model aggregation, and specific use cases like 'best ski resorts' or 'comprehensive AI research'. Creating educational content around these topics could increase organic traffic.
MultiLanguage Support
Introducing multi-language support could make Ithy accessible to a global audience, especially for users seeking information in non-English languages. Prioritizing major languages like Spanish, French, and Chinese could help broaden the user base.
- 1
How does Ithy improve search results over traditional search engines?
Ithy aggregates responses from multiple AI models, including ChatGPT, Claude, and Perplexity, and cross-checks the information for consensus. This ensures a more diverse and accurate answer to complex queries, unlike traditional search engines that may provide a single, possibly biased viewpoint.
- 2
Is Ithy a cost-effective solution for casual users?
While Ithy provides highly accurate and vetted information, its cost per query (10-30 cents) makes it more suitable for professional or research-oriented users. Casual users may find the pricing prohibitive, though there are Pro plans available to reduce costs.
- 3
Why is Ithy's search process so slow?
The search process is slow because Ithy runs queries through multiple AI models and embedding systems, cross-referencing and aggregating information from several sources. This ensures accuracy but comes at the cost of speed.