Load Script (2024)

For a local or open-source setup, GPT-Researcher or Open Deep Research are the most popular frameworks. Clone & Setup:

Use the provided CLI or Python entry point to start a research loop that typically runs 5–7 concurrent search iterations. 3. Bulk Deep Research (Google Apps Script)

assafelovic/gpt-researcher: An autonomous agent that ... - GitHub load script

Reports across multiple topics can be automated using Google Apps Script with Gemini.

To generate a deep report using modern AI research tools, you can use the following scripts based on the platform you prefer. These "Deep Research" scripts automate multi-step web searching, data synthesis, and document drafting. 1. OpenAI Deep Research (API) For a local or open-source setup, GPT-Researcher or

If you have access to the , you can use the o3-deep-research or o4-mini-deep-research models. This requires at least one data source, such as web search.

import openai client = openai.OpenAI(api_key="your-api-key") # The model handles the multi-step research loop internally response = client.responses.create( model="o3-deep-research", messages=[ {"role": "user", "content": "Generate a deep report on the future of renewable energy in 2030."} ], tools=[{"type": "web_search_preview"}] # Required for deep research ) print(response.output_text) Use code with caution. Copied to clipboard messages=[ {"role": "user"

Add your API keys (OpenAI, Tavily, etc.) to a .env file.