Free tools
Tools for a specific job
Small, practical tools that run entirely in your browser. Nothing you type is saved or sent anywhere, and there is nothing to sign up for.
Can I put this in ChatGPT?
Pick one of 26 workplace examples, or answer five questions about your own situation, and see whether it's lower risk, caution or high risk, and why.
Which AI tool should I use for work?
Five questions about the task, your work apps, what your organisation allows and your data, and a reasoned suggestion, including when not to use AI.
AI skills health check
Fourteen quick statements about how you use AI at work, and a plain profile of your strengths, what to focus on next and a suggested route.
AI policy starter
Answer a few questions and get a first draft of your team's AI usage rules to discuss and adapt.
AI time-saved calculator
A deliberately cautious estimate of the time AI could free up on one repetitive task, for you or a team.
Short courses for one job each
- Prove It: Check AI answers before you rely on them.
- The AI-Safe Desk: Decide what information you can use with an AI tool at work.
- The Team Brain: Build a shared assistant for repeated team questions, with owned sources, useful tests and a clear route to a person..
- Inside language models: Understand tokens, context, embeddings and model adaptation through small experiments..
- Instruction design and structured outputs: Build testable instructions, examples and output contracts without relying on magic wording..
- Data and measurement for AI: Explore missingness, leakage, class imbalance, synthetic data and causal claims..
- Retrieval engineering: beyond document chat: Investigate chunk boundaries, hybrid search, reranking and evidence tracing in RAG systems..
- Agents, tools and controlled automation: Explore tool contracts, MCP, prompt injection, retries and approval boundaries..
- AI-assisted coding and maintenance: Use specifications, tests, debugging and dependency review to make AI coding work inspectable..
- Multimodal AI: documents, images and sound: Learn to inspect OCR, charts, transcripts, video summaries and cross-modal contradictions..
- Creative AI production and art direction: Plan visual briefs, reference consistency, local edits, storyboards and asset handovers..
- Evaluation, red teaming and uncertainty: Build reference sets, calibrated rubrics, adversarial cases and useful release decisions..
- Local models and inference engineering: Understand quantisation, KV caches, latency, adapters and local deployment boundaries..
- Inclusive language and accessible AI outputs: Explore plain language, alt text, multilingual review, code-switching and assistive workflows..
- Specialist AI: forecasting, graphs and active learning: Explore niche AI patterns through forecasting, anomaly detection, graphs, active learning and scientific evidence..