Research AI Tools

Primus is an autonomous AI researcher that hypothesizes, reads papers, writes code, runs experiments on compute, and drafts research papers. The page shows example tasks, published-paper claims, waitlist access, and positioning for ML research workflows.

An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.

A research article benchmarking bot detection systems against scripted browsers, stealth browsers, and modern AI browsing agents, with comparative results across five detection products.

An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.

A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.

A data-backed study showing which major websites block specific AI crawlers in robots.txt, with breakdowns by crawler, site type, and a downloadable CSV.

A GitHub repository documenting how Claude re-derived a published one-loop quantum gravity calculation, with step-by-step derivations, reproducible checks, and reported corrections to the paper.

Revline is an AI web app for researching TikTok and Instagram posts, breaking down viral hooks and formats, and finding creators that fit a brand. It includes searchable public-post research, evidence-backed matches, creator checks, and AI-assisted next-step ideas for brands and creators.

An open-source, local-first canvas for editing LLM context as a graph. It lets users branch, prune, merge, and inspect the exact context sent to a model, with a desktop app, web demo, and support for Ollama and OpenAI-compatible endpoints.

UnderstandDocs is a document analysis tool that summarizes pasted text or uploaded files, flags risks, extracts important dates, and simplifies dense language. The page shows a working analysis form, supported file types, a privacy/no-storage claim, and an example output for a tenancy agreement.

Anthropic research article on Claude interpretability, presenting evidence for a J-space and a global-workspace-like mechanism in language models.

A deterministic Python project for empirical law discovery in elementary cellular automata, with simulation, discovery, reproducibility guides, and published preprints.

A research code repository for studying how fine-tuning can trigger verbatim recall of copyrighted books in large language models. It includes preprocessing, fine-tuning, generation, and memorization-evaluation scripts, with setup notes and example data.

Mostly Right is an AI-agent-powered platform for finding, building, and maintaining datasets for real-world prediction models. The page shows both a dataset browsing flow and a custom dataset builder, with agents handling source discovery, cleaning, joining, and ongoing updates.

A research project exploring multi-agent LLM coordination in Pokémon Showdown. It compares talk modes, reports win rates and token costs, and frames the environment as a benchmark for studying collaboration between agents.

Valovest is an AI stock sentiment analysis tool that synthesizes analyst reports, earnings calls, news, and social sentiment into a short investment brief. The page shows timeframe filters, stock examples, a weekly featured stock, and outputs like overall sentiment, bull vs. bear arguments, and key themes.

Clusy is an agent-native notebook platform for ML and data science that lets users describe a goal in plain language and have the system source data, set up experiments, run notebook cells, and return editable results in the cloud.

A simple AI tool that renames up to 10 screenshots in one batch, generating searchable filenames from image content without requiring sign-up.

arXiv paper describing QUEST, an open family of deep research agents from 2B to 35B parameters, plus a synthetic-task training recipe and released models, data, and scripts.

A daily AI intelligence journal for builders, covering notable model, tooling, and release updates in a short sourced digest.

Physics AI is a physics homework and study tool that solves problems from photos or typed prompts, with step-by-step explanations, tutor mode, and visual breakdowns for diagrams and vectors.

A research report on the current MCP ecosystem, with live crawl numbers, verification rates, category breakdowns, and examples of both strong and weak MCP-positive sites.

Anthropic research post showing Claude applied to attack surface analysis and reduction across 25 open-source codebases, with concrete findings and security-focused methods.

CTGT’s research post shows how deterministic LLM serving can still produce inconsistent pipeline outcomes, and introduces Concordance, an Apache 2.0 instrument for tracing where AI workflows diverge. The page includes the problem setup, benchmark details, findings, limitations, and a linked repo for reproduction.