Leandro Gomes da Silva

Build Your First AI Assistant in 30 Minutes: No Code Workshop

What if an AI assistant could double your candidate response rates? Learn how to build one that writes persuasive, personalized outreach in this no-code workshop.

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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Saby Company
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Milly
Vienna, Austria

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Matching moments

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