Newsletter comparison
How to AI vs MarTech AI
Short answer: Choose How to AI for a general practical education in AI tools. Choose MarTech AI when marketing is the job and relevance matters more than breadth. Keep both if you build the workflow and also own the campaign or marketing operation it serves.[1][2][3][4][5][6]
An independent guide. Scottie isn't affiliated with, endorsed by, or sponsored by How to AI and MarTech AI. Each publication owns its name, writing, and subscription terms.
A brief from both newsletters · July 31, 2026
See both newsletters in one brief
See what made the brief, what didn't, and the original links behind every included story.
In this brief: Scottie kept the selected stories separate because they added different value.
Reader priorities
A marketer wants to turn current AI tools into reliable work without spending every week chasing releases and half-tested demos.
These are illustrative priorities, not a customer’s data.
What made the brief
- How to AI1 read · 1 included
- MarTech AI1 read · 1 included
Scottie
Scottie example brief
July 31, 2026 · Executive brief
01 / The rundown
- A practitioner shared 27 concrete Claude techniques, proving that cleaner chats and dictated prompts create far more reliable daily AI workflows.
- Open-source assistant Hermes enables local, always-on task execution on a budget, offering an alternative to constant software trial subscriptions.
02 / The briefing
01 / main
27 battle-tested Claude tips to build stable AI workflows
The takeaway: Stop clogging Claude Projects with decades of reference documents. Switching from heavy project folders to clean chats for creative thinking, using model tiers strategically, and dictating unedited raw notes will drastically improve your output quality.
Concrete details
- Claude's reasoning sharpness declines significantly after 30 to 50 message turns in a single conversation thread.
- Premium seats cost $100 per month, switching to usage-based pricing once a team exceeds 150 seats.
Why it matters for this reader: These battle-tested habits keep your marketing workflows focused, preventing context bloat while generating consistent campaign material without chasing new tools.
Original sourcesHow to AI
02 / main
Hermes offers a free, open-source local assistant alternative
The takeaway: Open-source AI assistant Hermes runs on a local computer or five-dollar server, retaining memory across sessions while executing tasks. Operating via WhatsApp or Telegram, it writes its own reusable skills and safely processes background work behind approval gates.
Concrete details
- The open-source Hermes system has earned over 200,000 GitHub stars while running on $5 monthly servers.
- Connecting a secondary $6 monthly Hushed phone number allows Hermes to safely execute tasks inside WhatsApp chats.
Why it matters for this reader: Deploying a self-hosted agent lets you execute routine content scraping and team updates without subscribing to experimental software tools.
Original sourcesMarTech AI
Action items
- Audit your Claude Projects today to move creative brainstorming into fresh, empty chats and reduce context bloat.
- Add the AskUserQuestion form prompt to your standard marketing templates to force Claude to request missing context automatically.
- Test running the open-source Hermes agent on a $5 server to automate repetitive social research and content scraping.
See every issue behind this brief
27 Non-Obvious Claude Tips
- 27 Claude tips after 1,800 hours.How to AI · Included
Hermes Agent Setup Guide
- Hermes Agent (Beginner → Advanced)MarTech AI · Included
The useful difference
The difference that matters
How to AI teaches broad workflows and tool fluency that travel across jobs. MarTech AI filters the same fast-moving tool landscape through marketing tasks, agents, reusable skills, and team consequences.[1][2][3][4][5][6]
What each is best for
How to AI
How to AI contributes repeatable tutorials, extensive tool practice, and plain explanations of what current systems can and cannot do.[1][2][3]
MarTech AI
MarTech AI contributes a marketing filter, emphasizing agents, saved skills, and workflows that change how the function operates.[4][5][6]
When it’s worth reading both
The combination is useful when a general technique needs to be adapted to a marketing process. Scottie can connect the transferable method to the job-specific use without repeating every product announcement.[1][2][3][4][5][6]