Playbook for Turning an LLM into a Team Member
The practical playbook for turning an LLM into an actual team member. Not a chatbot. Not a demo. A colleague with memory, tools, and a real job.
In plain English
Felix Craft sells a practical guide for turning a general AI into a teammate with a real job. The promise is a colleague that remembers and can use tools, not a simple chatbot and not a short demo. Teams pay a subscription because they want that working setup on the team. Once it is in place, the AI does most of the work, and billing is handled too. The person behind the guide still checks quality, helps customers, markets it, and handles unusual cases.
~$29 MRR; $145 verified revenue last 30 days (TrustMRR/Stripe, Oct 28, 2026)
Operator: Felix Craft
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
OpenAI API ↗LLM / vision
Next.js ↗Web app framework
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Train on the customer's own voice and past posts.
- Generate drafts in proven formats.
- Human edits before publishing.
- Subscriptions; grow by posting the product's own output.
What's automated vs. the human 20%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
The practical playbook for turning an LLM into an actual team member. Not a chatbot. Not a demo. A colleague with memory, tools, and a real job.
Operator: Felix Craft. Category on TrustMRR: Artificial Intelligence. Founded: 2026-02-03. Website: https://felixcraft.ai/
Estimated split: about 80% of the work automated, 20% human.
Realistic income
TrustMRR (checked Oct 28, 2026) shows about $29 MRR and $145 in Stripe-verified revenue over the last 30 days, $90,973 verified over its tracked history. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Thin-wrapper risk; easy to copy.
- Generic AI content performs poorly — quality is the moat.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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