HubSpot Co-Founder Introduces The Future Of AI Agents

Introduction:

Daresh is introduced as a guest on the show.
He has been working on a new platform with free AI tools.
Daresh has provided extra credits for the marketing community to use these tools.
Kieran is encouraged to release his AI agent tool, which is highly praised.

Discussion with Daresh:

Daresh explains AI agents as software that uses AI to accomplish multi-step goals.
AI agents differ from conversational tools like chatbots by working towards higher-order goals and possibly using multiple AI models.
He draws parallels between AI agents and marketing automation, suggesting that AI agents could be the next generation of automation tools.
Daresh advises using AI agents when there are multiple steps that can be automated, even if a human is still involved in initiating or reviewing the process.
He gives an example of lead routing in a CRM system as a task that could be automated by an AI agent.

Kieran’s Experience with AI Agents:

Kieran shares his goal of using AI to replicate successful content for social platforms.
He built an agent that takes a YouTube URL and creates a LinkedIn post draft.
The agent can generate different types of posts (educational, controversial, etc.) and apply different writing styles.
Kieran emphasizes the importance of editing the AI-generated drafts to add nuance and personality.

Daresh’s Insights on AI Agents:

Daresh mentions that AI agents can track the performance of posts and provide reports, adding value to the content creation process.
He discusses the future of AI agents, envisioning a professional network where agents can be hired like digital coworkers.
Daresh sees potential for agents to use each other’s capabilities, creating a composability aspect that can lead to more efficient and creative solutions.

AI Trends in Marketing Report:

A new report on AI trends in marketing is mentioned, providing data on how businesses are using AI and its impact on marketing careers.

Kieran’s Dilemma and Daresh’s Perspective:

Kieran is hesitant to share his AI agent, fearing it could diminish his competitive advantage.
Daresh suggests that Kieran could control who has access to his agent and still benefit from sharing it without giving away the “genetic code” or prompts that make it unique.
Daresh also talks about the potential for monetizing agents and creating an efficient market for digital tools and services.

Software Industry Implications:

Daresh believes that easier software development, like AI agents, increases the value of software engineers and companies.
He sees AI as an opportunity for more people to solve problems and create value, not as a threat to jobs.

Integrating AI into Work:

Daresh encourages knowledge workers to learn how to manage AI and integrate it into their workflows.
He sees AI as a tool that can unlock creativity and speed up the iteration process.

Final Thoughts:

Daresh shares a promo code for additional credits on his platform.
Kieran decides to share his AI agent but not the underlying prompts.
The conversation concludes with excitement about the potential of AI agents and their impact on various industries.

ThirdBrAIn.tech