Try for free
Black-Liberation.Tech
Black-Liberation.Tech

How to Use AI to Bring Your Project to Life

31 December 2025 27:27 Renée Jordan, Ph.D.

Listen to episode

About this episode

In this episode of the Black-Liberation.Tech Podcast, we wrap up Lesson D2.1: Embracing Digital Literacies by moving from reflection into action.

I walk listeners through how to use digital literacies intentionally to design, build, and promote a meaningful project in their personal, academic, or professional life.

This episode features a real-time demonstration of how I used ChatGPT as a thinking partner (not a replacement for thinking) to develop my Social Media Marketing Plan as a professional project. I model how the same prompts can be adapted for two different target audiences to show how digital tools must be used with context, clarity, and purpose.

We also cover:

· How to generate project-specific prompts using ChatGPT

· How to search for video tutorials, blogs, and women-led resources

· How to organize tasks, set deadlines, and track progress

· How to connect with mentors and experts through professional DMs

· How to share your work and engage others without waiting for perfection

By the end of this episode, you’ll have a clear roadmap for using digital literacies as tools for liberation, not overwhelm—and a reminder that your project doesn’t have to be perfect to be powerful.

Whether you’re a learner, educator, career-changer, or creative, this episode will help you turn ideas into action—one prompt, one connection, and one step at a time.

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Black-Liberation.Tech. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support