daBongo LMS AI Training Courses

Lesson Content

Workflow 1: The Morning Clarity Brain Dump (WhatsApp) Before the day begins: dump everything on your mind into Meta AI. Ask for: urgent vs. not urgent, actions vs. decisions, what can wait. Outputs your day's priority list before you open email.

Workflow 2: The Image Generation Creative Brief (meta.ai) Before asking for an image, draft a creative brief with all four components – subject, style, composition, mood – then iterate. Result: professional-quality concepts in minutes instead of hours of back-and-forth.

Workflow 3: The Pre-Meeting Research Sprint 15 minutes before any meeting with someone you have never met: ask for a quick orientation on their company, industry, and role type. Walk in prepared to have a real conversation.

Workflow 4: The Tone Adapter Draft once, adapt many times. Write your core content once – then ask for versions: formal / informal / brief / detailed / empathetic / authoritative. Match the tone to each audience without rewriting from scratch.

Workflow 5: The Rapid Orientation Before any unfamiliar task, five-minute orientation: what is this, what should I know, what common mistakes should I avoid. Saves the time of learning by making expensive errors.

Workflow 6: The Decision Diagnostic Before any significant decision: ask "what is the strongest argument against this decision? What assumption would need to be false for this to turn out badly?" Two questions. Ten minutes. Better decisions.

Workflow 7: The Pre-Mortem Before launching a project: "Imagine this failed in 90 days. What most likely went wrong? Which of those failure modes can I prevent now?" Build prevention into the plan before launching.

Workflow 8: The Custom Study Plan For any skill you need to develop: give Meta AI your time constraints, current level, and learning style. Get a realistic sequenced learning path rather than a generic "start with the basics" response.

Workflow 9: The STAR Story Workshop For behavioral interview preparation: input a real professional experience and the competency question you are preparing for. Get a structured STAR story with feedback on what is missing or too vague. Build a library before interview season.

Workflow 10: The Salary Research Start Research salary ranges for any role – then verify at BLS.gov, LinkedIn Salary, and Glassdoor before negotiating. Use Meta AI to understand the factors, use authoritative sources to verify the numbers.

Workflow 11: The Multi-Perspective Generator Before presenting a proposal: generate the perspectives of the three to five stakeholders who will evaluate it. For each: their main concern, their question, what it would take to bring them on board. Address it all before the meeting.

Workflow 12: The Personal Voice Audit After any AI-assisted draft: ask Meta AI to identify AI filler, empty transitions, over-polished phrasing, and generic enthusiasm. Edit every flagged item personally. Result: your voice, not AI's.

Workflow 13: The Assumption Map Before any plan: "What am I assuming about people, resources, timeline, market, and my own capabilities?" Then: "Which of these would most change the plan if they were wrong?" Fix the load-bearing assumptions before you start.

Workflow 14: The Creative Image Ideation Session (meta.ai) For any visual creative project: start with a text conversation about what you are trying to express – mood, message, audience. Then move to Imagine with multiple iterations. Result: visual concepts developed through language before committing to final production.

Workflow 15: The Professional Currency Check Monthly: "What are the most significant developments in [your field] this year that a practitioner should know about?" Use as orientation – then verify at industry publications and professional association sources. Stay current without spending hours on it.