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3488 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
AI & Assistive Tools: Resume builders, cover letter helpers, practice AI.
Answers come only from resources in this hub, with the sources listed.
382 resources
A public collection of coding-agent skills, including Stageshow for creating React product-interface illustrations and demos. Each skill has its own license and third-party asset notices, which should be checked before reuse.
A Claude Code and Codex skill for auditing AI-generated interfaces, proposing a design direction, and refining screens. The repository uses CC BY 4.0, requiring attribution; optional image services may cost money.
An MIT-licensed collection of hand-drawn-style React interface components compatible with shadcn/ui parts and props. The site describes accessible components with outlined shapes and solid colors.
Free, MIT-licensed local voice dictation for macOS, Windows, and Linux. The official page provides desktop downloads, and the anomalyco/hex repository supplies the source and license.
An MIT-licensed tool that uses Claude or Codex to turn a codebase into an interactive map of files, app parts, requests, and connections with plain-English labels. Agent usage may have separate costs.
An email client that groups messages by person and combines email, calendar, and tasks. Its permanent free plan supports one email account and up to five tasks; additional accounts and higher limits require paid Pro.
A desktop AI assistant that captures meetings, messages and work tools to produce transcripts, summaries, daily briefs and drafted follow-ups. The free plan includes 10 hours of meeting transcription and 500 chat credits a month; paid plans add more.
Google's open-source Gemini CLI coding agent, free to install and use from the command line.
Open-source agentic coding tool from Charm, available as a public GitHub repository.
Open-source AI coding agent. The tool is free; model or API usage may cost money.
Anthropic introduces read-only bank and card connections through Plaid for questions about balances and transactions. The feature cannot move or invest money and begins as a U.S. beta on paid Pro, Max and Ultra plans; this announcement is free to read.
The post introduces Ampersand Tutor, a model trained to teach learners. It describes training with Persimmon and reports performance on the TutorMoments benchmark.
The article outlines ways AI agents may use tokens inefficiently. It proposes approaches to reduce token use in agent workflows.
The article discusses exploratory data analysis and argues that it involves questions that cannot be replaced by automation. Its description says analysis begins by resolving basic questions before asking more informed ones.
Phil Schmid explains Code Mode, also called Programmatic Tool Calling in this article: an agent writes a script to chain tool actions and process results in a sandbox. The predicted shift toward one execution tool is the author’s argument, not an established outcome.
Martin Alderson applies web performance principles to AI agent workflows, covering time to first token, prompt caching and other factors that affect how fast agents complete tasks.
GitHub changelog announcing the HydraFusion research preview in VS Code and the GitHub Copilot app. GitHub describes its own feature.
Free guides on getting started with AI, prompting, choosing tools, and using AI at work. The collection explains practical AI topics in plain English.
A free-to-read collection of step-by-step AI workflow guides for Claude, ChatGPT, automation, and everyday work. The guide collection is separate from paid University courses; individual tools used in a guide may charge fees.
LLM forecasting benchmark with public leaderboards, datasets and submission information. Benchmark results are the project's own.
Live AI forecasting benchmark and leaderboard. Scores and cost estimates are the site operator's own claims.
Hugging Face's free interactive technical handbook covers mixture-of-experts training, hardware setup, expert routing, load balancing, distributed training and serving. Intended for readers with machine-learning engineering experience.
ExplainX's guide covers local AI hardware, inference engines, open-weight models and workflow automation. The publisher sells AI services; model specifications, licenses and hardware recommendations should be checked against current official documentation.
Free documentation on tracking token usage, setting team spending limits, and managing Claude Code costs through context management, model selection, and preprocessing. Claude Code usage itself may require payment; cost estimates are Anthropic’s own.
