A multi-agent research system that uses OpenAI's o3-deep-research model to conduct comprehensive research with automatic extraction of key insights. The system uses markdown-based prompts with dynamic placeholder replacement and configurable extraction templates to generate structured research outputs.
Uses OpenAI o3-deep-research with web search and code interpreter tools
Processes markdown prompts with full section integration (not just query snippets)
Supports dynamic placeholder replacement (e.g., [TaskName] → actual task name)
Automatic source extraction and metadata collection
Uses gpt-4o for structured data extraction
Template-based extraction with auto-template selection
JSON output formatting with validation
Support for multiple extraction templates
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A collaborative team prioritization platform that helps teams make data-driven decisions about feature development through structured scoring and AI-powered analytics.
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A comprehensive weightlifting calculator web application designed to simplify strength training calculations.
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A comprehensive Python automation tool for downloading and organizing marketing assets from Google Drive links stored in CSV files. Built for bulk asset management with intelligent retry logic, access request automation, and metadata-based file naming.
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Ethan Ding on the economics of providing LLM services:
when you're spending time with an ai—whether coding, writing, or thinking—you always max out on quality. nobody opens claude and thinks, "you know what? let me use the shitty version to save my boss some money." we're cognitively greedy
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