Organisational AI Enablement
Participants use general-purpose AI tools with documents, images, and research tasks; build small automations; and examine confirmation bias, prompt injection, and other risks. The practical work is based on tasks they already do.
Topics Covered
- Treat AI as a thinking partner; better prompts yield better outcomes
- Abundance and context as core prompting principles
- How large language models learn: RLHF, AI feedback, and fairness
- Getting models to reason: chain-of-thought, reasoning models, deep research
- Hands-on practice across OpenAI, Claude, DeepSeek, Kimi, and Gemini
- Working with documents, images, and other file formats
- Meta-prompting and expert personas for stronger analysis
- Using custom instructions to challenge confirmation bias
- Recognising prompt injection and other security risks
- Using Claude skills
- Creating workflows with OpenAI Agent Builder
- Agent Mode
- Automation with auto hotkeys
- Vibe-coding small automations in PowerShell and AppleScript
- Emerging tools, agentic workflows, and the future of work
For questions or inquiries, please email [email protected].