January 15, 2026
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Own Your Data: A Starter Guide To DIY Datasets Without Legal Headaches

James Fristik010 mins

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Own your dataset like you own your tools. This guide to Own Your Data: A Starter Guide To DIY Datasets Without Legal Headaches shows creators and small businesses how to collect first party and licensed data, avoid privacy pitfalls, document provenance, and choose clear licenses. Build AI datasets you can monetize with confidence, not crossed fingers.

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“Boss Stack” Prompts for Content Creators Who Need Speed, Not Fluff

James Fristik011 mins

Views: 1

Boss Stack Prompts for Content Creators Who Need Speed, Not Fluff give you a small set of reusable prompts that cover ideas, outlines, drafts, edits, repurposing, visuals, and reviews. In this guide, you get practical templates and trusted resources so you can post faster, keep your voice, and stop wasting hours chasing “perfect” prompts.

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Claude’s Cheaper Model Tested: Speed, Cost, And Quality For SMB Projects

James Fristik011 mins

Views: 1

Picture a small business owner on a Tuesday at 9:12 a.m. The inbox is filling. A customer is asking for a refund policy. A vendor wants a quick approval. Someone left a one-star review that needs a calm reply. Meanwhile, you still need a blog post to publish and an affiliate email to send.

In that moment, “the

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Build And Sell GPT-5 Apps: A Practical Guide To The New Apps SDK

James Fristik014 mins

Views: 0

Instead of trying to drag people to your website, your product literally lives inside ChatGPT. Users can open it in the same window where they already write emails, plan launches, and debug code. You get GPT-5 level intelligence on tap plus a native UI, billing, and distribution.

That is the promise behind Build and Sell GPT-5 Apps: A

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Privacy By Design: Data Vault Patterns For Client-Safe Agents

James Fristik012 mins

Views: 1

Picture this.

A client shares a spreadsheet of customers, private notes, and billing data. You promise to “run it through your AI agent” to clean fields, draft emails, and tag leads.

The output looks great.
The real question is what happened to the data.

Did it end up in a model log you cannot see.
In a debug

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