Theron is for AI researchers at labs, universities, and independent groups who live in papers, benchmarks, ablations, and reproducibility. Tell Theron the hypothesis you are testing and it maps the relevant literature, surfaces the ablations that matter, and builds the eval harness before a single experiment runs so every result is measurable against a baseline. Every action Theron takes in your workspace is receipted so your audit trail runs from hypothesis to final result. Theron is the AI you talk to, made by Vext Labs.
A cited literature map with open gaps and required baselines, plus a config-driven eval harness ready for your first experiment run.
Maps the current AI literature on your research question, including recent preprints and the work reviewers will expect you to engage
Builds a config-driven eval harness with a metrics writer before the first experiment so progress is measurable from the start
Flags the ablations and baselines that reviewers will demand so you design the experiment with the rebuttal already in mind
Maps the current AI literature on your research question, including recent preprints and the work reviewers will expect you to engage Builds a config-driven eval harness with a metrics writer before the first experiment so progress is measurable from the start Flags the ablations and baselines that reviewers will demand so you design the experiment with the rebuttal already in mind Generates a reproducible experiment notebook so collaborators can rerun any result on new data Keeps your hypothesis, paper notes, results, and citations organized across Research, Code, Sheet, and Brain surfaces Saves a cited related-work landscape with open gaps into Brain so the next paper starts where this one ended
A cited literature map with open gaps and required baselines, plus a config-driven eval harness ready for your first experiment run.