This session focused on practical ways small business owners and professionals can leverage AI, particularly Google Gemini and Gemini Live, to streamline time-consuming tasks, improve creativity, and enhance everyday work.
The presentation emphasized the importance of effective task delegation, prompt construction, iteration, and prompt chaining to maximize AI outputs.
Attendees learned actionable prompting frameworks and were encouraged to practice and build a personal prompt library to accelerate productivity.
Demonstrations covered how to use AI for ideation, content creation, live conversation practice, and real-time, multimodal problem-solving in business contexts.
Action Items
N/A: No specific action items with owners or deadlines were mentioned in the transcript.
Identifying & Delegating Tasks with AI
Attendees were guided to reflect on current time-consuming, tedious, or confusing tasks that could be better managed with AI assistance.
They were encouraged to note these tasks and be ready to apply AI tools to delegate or accelerate their completion during the course.
AI Basics & Practical Uses
The course introduced core concepts: AI models, generative AI (GenAI), and large language models (LLMs) using accessible analogies (e.g., the "chef" comparison).
Examples highlighted how AI already assists users daily (traffic updates, email suggestions, recommendations).
Google Gemini was introduced as an AI assistant integrated with Google Workspace and available as an app for desktop and mobile.
Effective Prompting Techniques
The "prompting" conversation with AI was covered in depth:
Key steps: Describe the task, add a relevant persona, specify format, provide context, and (if possible) attach references.
Each step improves AI's output relevance and quality.
Attendees were encouraged to practice writing prompts alongside the facilitator.
Saving and reusing successful prompts in a prompt library was recommended to improve workflow efficiency.
Prompt Iteration and Multimodal Prompts
Prompt iteration was introduced: refining prompts by adding missing elements, breaking larger tasks into smaller steps, changing task type, or setting constraints.
Multimodal prompting with Gemini was demonstrated, allowing users to include images, documents, or audio for richer interactions.
Examples included using a flyer image to personalize outreach emails, or turning a photo into an inventory list.
Prompt Chaining & Gemini as a Thought Partner
Prompt chaining was presented as a method to expand on initial AI outputs by building a series of interconnected prompts (e.g., brainstorming business expansions, then identifying quick-to-launch options and next steps).
This technique helps shift from abstract goals to actionable plans.
Attendees learned the difference between iteration (refining one question) and chaining (building on answers for new, related questions).
Using Gemini Live for Real-Time Problem Solving
Gemini Live, the conversational (voice-based) assistant, was demonstrated for scenarios like brainstorming, role-play, and live feedback.
It supports multimodal inputs (voice, camera, screen sharing) to solve problems, analyze content, and offer suggestions on the fly.
Practical use cases: practicing sales pitches, getting instant delivery feedback, troubleshooting equipment, or evaluating creative assets in real time.
Decisions
No formal decisions or approvals were noted — the session focused on training and practical demonstration rather than decision-making.
Open Questions / Follow-Ups
None explicitly noted. Attendees were encouraged to explore linked resources and further videos for additional practice and support.