Ori is a powerful research assistant. It can search the web, extract content from any URL, synthesize information, and produce structured reports — all in one conversation.
Web search
Search the web for the best Rust web frameworks in 2026
Page crawling
Read this page and summarize it: https://blog.example.com/ai-trends-2026
Multi-step research
The real power comes when you chain these together:
Research the top 5 headless CMS options for a Next.js project.
Compare their pricing, features, and developer experience.
Give me a recommendation based on a small team with a tight budget.
- Search for headless CMS options
- Visit each one’s website for pricing and features
- Cross-reference with developer reviews and community sentiment
- Produce a structured comparison with a final recommendation
Example: competitive analysis
Research three competitors to my product (Ori):
- OpenClaw (openclaw.com)
- Claude Desktop (from Anthropic)
- ChatGPT Desktop (from OpenAI)
Compare: pricing, features, privacy, memory capabilities, and platform support.
Output as a markdown table.
Combining research with scheduled tasks
Set up automated research that runs on its own:
Every morning at 8am, search for news about AI agents and desktop AI apps, and summarize the top 3 stories
Every Monday at 10am, check Product Hunt for new AI tools launched this week
Tips for research
Be specific about what you want. “Research React” is vague. “Compare React Server Components vs traditional SSR for a high-traffic e-commerce site” gives Ori a clear target.
Ask for structure. Request your findings as a table, bullet list, or pros/cons format. Ori will organize the information accordingly.
Iterate. After the initial research, follow up with “dig deeper into option #2” or “what are the drawbacks of that approach?”
