Leandro Gomes da Silva
Build Your First AI Assistant in 30 Minutes: No Code Workshop
#1about 5 minutes
The power of AI for personalized candidate outreach
A case study from Loop Earplugs shows how an AI assistant named Martha doubled positive response rates from 32% to 60%.
#2about 2 minutes
Measuring AI success beyond just efficiency metrics
Companies often fail to define financial KPIs for AI initiatives, but measuring metrics like error reduction and satisfaction scores is crucial, as shown by Klarna's experience.
#3about 3 minutes
Prerequisites for building your first custom GPT
To get consistent results from an LLM, you need a paid subscription, a specific and repeatable task to automate, a structured prompting framework, and patience for iteration.
#4about 4 minutes
Using the RACE framework for structured prompting
The RACE framework (Role, Act, Context, Execute) provides a structure for creating detailed prompts that make implicit requirements explicit for more consistent AI outputs.
#5about 3 minutes
Live demo of an AI outreach assistant in action
A custom GPT named 'Martha 2.0' demonstrates how to generate personalized, multi-sequence outreach messages by processing a LinkedIn profile and job description.
#6about 2 minutes
Comparing LLM performance and planning next steps
A comparison of ChatGPT, Gemini, and Claude for an outreach task shows varied results, highlighting that a reliable custom GPT is the foundation for building advanced AI agents.
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Why HR struggles with technology implementation and adoption
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