So You’re Building AI Agents... Now What?

So You’re Building AI Agents... Now What?

by Nate Herk

Humanities, Social Sciences & Thought AI — News & Applications UYComputer scienceUYQArtificial intelligence (AI)
🎙 Nate Herk 👥 964K 📅 August 9, 2025 ⏱ 12 min 👁 88K 📄 expert opinion 🧭 2026-08-28
Available in: English (current) Français

Keywords

AI automationfreelanceconsultingbusiness owneremployee

Summary

Nate Herk shares his personal journey from a corporate job at Goldman Sachs to becoming a full-time AI freelancer and consultant, and eventually co-founding an AI business. He emphasizes the importance of passion and gradual progression rather than reckless quitting. The video outlines four distinct paths for individuals building AI skills: becoming an AI freelancer, starting an AI consultancy or agency, using AI within an existing business, or leveraging AI as an employee to increase value. For each path, he provides practical advice and real-world examples from his community, such as a finance workflow that led to a client, a car detailing business that reduced lead costs from $8 to $1, and an AI Slackbot that cut onboarding time from 6-8 weeks to 2-3 weeks. He stresses the importance of documenting and sharing your work, diagnosing problems rather than selling templates, and gradually building a skill set. The video concludes with an invitation to join his free and paid communities for further support and networking.

165 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides practical, actionable advice based on the creator’s personal experience, which adds authenticity. The argumentation is structured around a clear progression from freelancer to consultant, emphasizing the importance of passion and gradual steps. However, the advice is largely anecdotal and lacks empirical evidence or broader data to support claims about market demand or success rates. The examples from the community are illustrative but not systematically analyzed, and the video does not address potential challenges or risks in detail, such as market saturation or the sustainability of freelance income.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite any external sources or research, relying solely on personal experience and community anecdotes. The title accurately reflects the content, which is a practical guide for monetizing AI skills. The description includes links to the creator’s courses, communities, and tools, but these are promotional rather than scientific references. The video’s credibility is limited by the lack of verifiable data and the potential bias from promoting his own paid community. The editing and production quality are high, but the scientific rigor is low.

191 words

Title / Content Match

The title accurately reflects the content: the video addresses the question of what to do after building AI agents, providing a roadmap for monetization and career paths.

Quality & Reliability

6/10

The video is a personal narrative and opinion-based guidance on monetizing AI skills, with no citations to external research or data. The claims about market demand and community success are anecdotal and not independently verifiable. The creator's experience is relevant but the content lacks rigorous scientific backing.

Chapters

Cited Sources

Concurring Sources

  • AI agent — Provides a general definition and context for AI agents, aligning with the video's subject.
  • Freelance marketplace — Supports the discussion on freelancing as a career path.

Dissenting Sources

Contribution & Novelties

The video offers a personal, step-by-step roadmap for monetizing AI skills, which is valuable for beginners. It emphasizes a gradual progression from freelancer to consultant, contrasting with the ‘get rich quick’ hype. The real-world examples from the community provide concrete illustrations of each path. However, the content is not novel in the broader context of AI career advice, but it is presented in an accessible and motivating way.

Pour aller plus loin :

109 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with a slight emphasis on information quantity and quality. The technical level is low, reflecting the non-technical nature of the content. The overall balance suggests a practical, experience-based guide rather than a deeply technical or rigorously sourced analysis.

Reliability 5/10

💬 Très positif. Sur les 30 commentaires analysés, les spectateurs expriment une gratitude et une admiration marquées pour l'authenticité et l'utilité des conseils, avec plusieurs témoignages de réussite personnelle attribués au créateur.