AI Tutorials

ChatGPT can support writing, research, files, images and structured workflows. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Create an account and begin with one clear outcome rather than a broad request.
2. Add context, audience, format, constraints and a quality standard to your prompt.
3. Upload a document or image when the task depends on source material, then ask for evidence-based output.
4. Review important facts, request sources and revise the answer before publishing or acting on it.

▶Play ChatGPT tutorial

Claude can support long documents, careful writing, analysis and coding. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Open Claude and describe the job, intended reader and final deliverable.
2. Attach source files for document analysis and identify which sections matter most.
3. Use Projects or organized chats for recurring work so instructions and reference material remain consistent.
4. Ask Claude to critique its own draft against a checklist before you accept the result.

▶Play Claude tutorial

Gemini can support multimodal assistance, google ecosystem tasks and research. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Sign in with a Google account and choose a model or mode appropriate to the task.
2. Provide text, images or files and explain what you want extracted, compared or produced.
3. Use connected Google services only after checking permissions and the sensitivity of the data.
4. Validate citations, calculations and generated media before reuse.

▶Play Gemini tutorial

Microsoft Copilot can support web assistance and microsoft 365 productivity. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Open Copilot on the web or within an eligible Microsoft application.
2. State the business outcome and identify the document, spreadsheet, meeting or presentation involved.
3. Ask for a first draft, then refine tone, length, evidence and formatting.
4. Check organizational privacy controls before using workplace information.

▶Play Microsoft Copilot tutorial

Perplexity can support source-led web research and answer discovery. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Ask a focused research question and include the date range or geography when relevant.
2. Open the cited sources instead of relying only on the generated summary.
3. Use follow-up questions to compare viewpoints, identify missing evidence and narrow the answer.
4. Save or export the research only after removing weak or irrelevant sources.

▶Play Perplexity tutorial

NotebookLM can support learning from your own documents, notes and sources. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Create a notebook and add trustworthy source material such as PDFs, web pages or notes.
2. Ask questions that can be answered from those sources and inspect the linked citations.
3. Generate study guides, summaries, briefing documents or audio overviews where available.
4. Keep separate notebooks for unrelated projects to prevent context confusion.

▶Play NotebookLM tutorial

Midjourney can support stylized image generation and visual exploration. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Begin with a subject, environment, composition, lighting and visual style.
2. Generate several variations and select the strongest composition rather than over-editing a weak result.
3. Use aspect ratio and stylization controls deliberately for the intended platform.
4. Confirm commercial-use rights and avoid imitating protected living artists too closely.

▶Play Midjourney tutorial

Adobe Firefly can support commercial creative workflows, images and design assistance. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Select the generation or editing feature that matches the asset you need.
2. Write a visual brief with subject, scene, camera, style and intended use.
3. Use generative fill or expansion for targeted edits rather than regenerating everything.
4. Export in the correct dimensions and compress assets for web performance.

▶Play Adobe Firefly tutorial

Canva Magic Studio can support social graphics, presentations, documents and quick content. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Choose the final format first, such as a presentation, social post or document.
2. Generate an initial layout or copy, then apply your brand fonts, colors and spacing.
3. Replace generic imagery and review accessibility, contrast and reading order.
4. Download an optimized format suitable for the publishing channel.

▶Play Canva Magic Studio tutorial

Runway can support ai video generation, editing and visual effects. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Start with a short shot list and define the purpose of every clip.
2. Use a clear image or concise text prompt with camera movement and subject action.
3. Generate short clips, maintain visual continuity and assemble them in an editor.
4. Add captions, licensed audio and compression before publishing.

▶Play Runway tutorial

ElevenLabs can support text-to-speech, dubbing and voice workflows. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Prepare clean, punctuated narration and divide it into manageable sections.
2. Select a suitable licensed voice or create a voice only with proper consent.
3. Adjust stability, expression and pacing with small changes between tests.
4. Listen for pronunciation errors and disclose synthetic audio where appropriate.

▶Play ElevenLabs tutorial

GitHub Copilot can support code completion, explanations, tests and developer assistance. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Install the supported extension and sign in with an eligible GitHub account.
2. Write a clear function name, comment and test expectation before requesting code.
3. Review generated code for security, licensing, dependencies and edge cases.
4. Run tests and static analysis; never merge code only because it compiles.

▶Play GitHub Copilot tutorial

Cursor can support ai-first code editing and repository assistance. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Open a repository and allow indexing only where your privacy policy permits it.
2. Ask questions about specific files, symbols or bugs instead of requesting a complete rewrite immediately.
3. Use small, reviewable edits and inspect every diff before accepting it.
4. Run local tests, check performance and revert changes that increase complexity without value.

▶Play Cursor tutorial

Zapier AI can support no-code automation and connected business workflows. Use this practical workflow to learn the core interface first and then build repeatable habits.

1. Choose a repetitive process with a clear trigger, inputs and desired output.
2. Connect only the necessary applications and use test data without sensitive information.
3. Add AI for classification, extraction or drafting, then define fallback rules.
4. Test edge cases, monitor failures and keep a human approval step for high-impact actions.

▶Play Zapier AI tutorial