How to Use AI

AI use is now widespread and accessible across multiple domains. Below are categorized tools and examples, including Microsoft Copilot and DeepSeek, which reflect real-world applications in productivity and programming.

Text Generation

ChatGPT – OpenAI’s conversational agent used for brainstorming, writing, tutoring, etc.
Claude – Anthropic’s conversational AI, focused on helpfulness and safety.
Jasper AI – AI content assistant for marketing, blogging, and social media.
Notion AI – Writing assistant integrated into Notion’s productivity suite.
DeepSeek – Open-source large language model useful for writing, research, and summarization.

Visual Creation

DALL·E – AI that generates images from text prompts.
Canva Magic Write – AI writing features for social media and graphic design.
Adobe Firefly – AI art and design features integrated into Adobe Creative Cloud.
Craiyon – Formerly DALL·E mini; generates AI images from text prompts.

Audio & Video

ElevenLabs – Text-to-speech with realistic human voice synthesis.
RunwayML – Video editing and generative tools using AI.
Descript – AI video and podcast editor that transcribes and auto-edits content.
Lumen5 – AI that turns blog posts into engaging video content.

Coding Assistants

GitHub Copilot – AI code suggestion tool powered by OpenAI.
Tabnine – Predictive AI code completion for multiple IDEs.
Codeium – Free AI code completion tool for multiple languages and IDEs.
Microsoft Copilot – Embedded in Microsoft Office and Visual Studio to assist with tasks, coding, and documentation.

Productivity & Organization

Zapier AI – AI-enhanced automation between apps.
Airtable AI – Smart features inside relational spreadsheets/databases.
Notion AI – Also assists with task management and idea generation.

Responsible Use

As AI tools become more accessible, it is crucial for users to engage responsibly to ensure ethical, safe, and constructive applications. Responsible use promotes trust, mitigates harm, and fosters accountability. Users should consider the following:

Prompt Engineering Basics – Understand how to craft clear, specific inputs to generate more accurate and useful AI outputs. Poorly worded prompts can lead to irrelevant or misleading responses.
Privacy Settings – Never input personally identifiable information (PII), confidential business data, or sensitive records. AI systems often log queries and may retain information for model improvement.
Misuse Potential – AI can be exploited to spread misinformation, generate spam, impersonate others, or perform unethical surveillance. Users must be aware of platform policies and local regulations.
Filtering Limitations – Many AI systems include content filters, but these can be bypassed or fail. Outputs may reflect unintended bias or hallucinated facts. Users must critically evaluate AI-generated content.
Transparency and Attribution – When publishing or sharing AI-generated content, clearly state that AI was used. This maintains transparency and protects intellectual integrity.
Ethical Considerations – Avoid using AI for deceptive practices, plagiarism, academic dishonesty, or discriminatory decision-making.
Use Case Appropriateness – Not every task is suitable for AI. Critical decisions, such as medical diagnoses or legal interpretations, should always involve human oversight.