Ep151 AI Prompt Engineering, with Rob MacLachlan

Manage Self, Lead Others: Emotional Intelligence and Leadership for Managers

AI Prompt Engineering, with Rob MacLachlan

Soundbites from this episode

So principle number one, you don't say "I am a business manager writing a proposal", but "You are a business manager writing a proposal, and you're an expert in . . ."

You tell AI who THEY are. And the more detailed output you want, the more detailed the role would be. There are lots of examples. Let's say, in your case, about show notes . . . you might say, "You're an expert podcaster". The more detailed you are, the better.

[2:29] Four basic components of a prompt, emphasizing the importance of phrasing and defining roles for better AI results.

[3:09] Story about introducing prompt engineering to a university

student, highlighting how telling AI "you are the expert" changes the

output.

[4:20] Agility of small businesses in adopting AI versus the slower

response of larger institutions.

[4:34] Instructing AI as an expert in the task, which improves outcomes.

[4:50] Creating detailed prompts, adding psychographics and precision to

refine AI outputs.

[6:31] Expertise in crafting "mega prompts" and consulting

services.

[7:01] Defining mega prompts, breaking down their structure and how to

manage large-scale AI outputs.

[9:34] Tailoring AI instructions and correcting formatting to fit

specific needs.

[10:03] How AI learns within a thread to adapt based on prior

instructions and adjustments.

[10:16] Preferred AI tools, including Perplexity AI and ChatGPT, for

citations and context generation.

[10:32] Focus on accuracy and evidence-based AI outputs, sharing tools

like Scholar GPT and Gemini.

[11:05] Confidentiality in AI tools and strategies for improving

AI-generated results over time.

[12:23] Coherence, cohesion, and logical sequencing in refining

AI-generated content.

[13:03] Uploading text examples to help AI match writing voice, syntax,

and vocabulary for consistent outputs.

[14:03] Strategies for instructing AI in maintaining voice, tone, and

lexical style based on examples.

[14:59] Case studies of consulting with businesses to transform

processes, including building custom bots.

[16:02] AI’s role in streamlining internal communication and proposal

generation.

[16:56] Training AI to generate high-quality content and how businesses

can benefit from this process.

[18:21] How AI can boost productivity by automating repetitive tasks and

improving accuracy.

[19:09] Importance of continuously testing and refining prompts to

achieve optimal AI performance.

[19:44] Potential of AI to revolutionize industries like marketing,

education, and healthcare.

[20:18] Preparing businesses to leverage AI tools effectively.

[21:05] Practical advice for businesses looking to implement AI tools.

ABOUT ROB MACLACHLAN, AI Prompt Engineering Expert

Actualise AI: https://actualiseai.com.au/

LinkedIn:

linkedin.com/in/rob-maclachlan-5799b613

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