Show Notes
Parker lays out the plan for building a fleet of AI agents in public, with a clear path to $100K/mo profit. He details the series structure, the initial tech stack, and the daily/dedicated content approach that ties everything together.
Cadence and format of the build-in-public series
- Weekly builds, broken into three compact parts
- Batch content in one or two days, then release three 20-minute episodes
- Long-form videos on the main channel, Shorts on the daily updates channel
- Paid members get the full, unedited long-form videos, plus a one-page PDF and a playlist for easy reference
- The beta platform (ivibewithai.com) launches late May with a price increase
Revenue model and audience strategy
- Target: reach $100K/mo in profit by scaling agent-driven workflows
- School membership: ~50 members currently; expanding with more hands-on content
- Daily channel: Q&A, news, and quick resources; content fed into a processing pipeline
- Cross-channel strategy: content produced for the main channel feeds Shorts and the daily channel
The initial “agentic” builds (the stack and the plan)
- Google Cloud Platform (GCP) base for orchestration and processing
- First project: GCP-based agentic video uploader and metadata processing
- Audio processing, subtitles, chapter markers, descriptions
- Transcripts repurposed into blog posts and other assets
- Thumbnail automation: Google Cloud Platform + Pillow
- Daily content pipeline: AI news aggregator and classifier to populate the daily channel
- Short-form clipper and clip processing (experimental, including Opus-like approaches)
- Membership platform buildout: I vibe with AI (IVIBE) ecosystem (Teachable + School + more)
- Personal/custom tooling: vectorization pipelines for relevance, Discord membership SDK work
- Platform integration: map the SaaS product with Google agents and sub-agents
- Health integrations (HIPAA considerations) and robust database design
- Future: iOS companion app development
- Home infrastructure: a cost-effective, self-hosted option (a $12 VPS) for certain tasks
The workflow and best-practice approach
- Build with an agent-first mindset
- Don’t start with “everything” for public release; map steps first
- Manually run through the steps, then distill into an agentized workflow
- Iterate by questioning each step, removing unnecessary bits
- Final step: automate as much as possible (the Elon Musk-inspired five-stepper idea)
What’s coming next (the road ahead)
- Start with the GCP-based agentic video uploader and metadata processor
- Then ship the Thumbnail Builder (Pillow) to improve click-through
- Follow with the AI news aggregator to feed the daily channel
- Expand the daily content pipeline, then tie into the membership/education ecosystem
- Continue expanding agent fleets across Discord, MAP/SaaS integrations, health data handling, and eventual iOS support
How you can participate
- Share ideas in the comments for features or workflows you’d like to see automated
- If you’re interested in the school, check ivibewithai.com and consider joining the beta when announced
- Expect ongoing updates on the tech stack, production tweaks, and real-world results
Takeaways
- Build in public with a deliberate, three-part episode structure to maximize learnings and viewership
- Start with an end-to-end manual process, then automate it as an “agent”
- Use a single stack (GCP) to minimize friction across video production, metadata, and personalization
- Align content formats across channels: main long-form, daily updates, and Shorts, all feeding a unified pipeline
Links
- ivibewithai.com (beta launch late May)
- Google Cloud Platform (for the agentic pipelines and processing)