AI workflows for researchers. Literature review, data collection, synthesis, and insight discovery.
Uncover the underlying personality and tuning of different AI models like Claude and GPT by asking a simple, three-part set of interview questions. This helps you choose the right model for your task based on its tone and directness.
Use browser automation to experience a product through several evidence-based personas and compare where their journeys diverge.
Infer an undocumented device protocol from captured traffic and turn the confirmed message structure into a small control tool.
Build a research digest that searches arXiv daily and Google Scholar weekly, filters results against your own topics, and turns selected PDFs into rigorous summaries of methods, findings, effect sizes, and limitations.
Use ChatGPT with web search to map a topic, find credible source links, and uncover promising angles before drafting.
Turn a product concept into a fast, cited market scan, challenge the optimistic first answer, and package the evidence, uncertainty, and decision implications into a concise stakeholder deck.
Build a field research app that captures the front and back of an archival photo as a linked pair, generates a description and transcription immediately, embeds both into image metadata, and gives every file a predictable name.
Use Grok to expand a talent-sourcing search across X and YouTube, then verify every suggested person manually against transparent, job-related criteria before adding anyone to a shortlist.
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