AI for Internal Tools, Not Marketing Magic

I see a lot of hype around AI agents building brand materials. Looks impressive in a demo. But here's my take: that's not where the real value is.

Last year, I was modernizing a legacy ERP system for a Georgian logistics company. They had 200+ business processes documented in scattered spreadsheets and PDFs. Nobody knew which procedures were current. Compliance audits were nightmares.

Instead of hiring a consultant to "streamline brand consistency," I built an internal documentation generator. Hooked Claude API to their Odoo instance. Every time someone updated a process, it auto-generated clear, structured docs with examples from real data. Saved them weeks of manual work.

That's where AI makes money.

Brand manuals? Clients either care obsessively (and want full control) or don't care at all. There's no middle ground. An AI generator won't change that. But automating internal operations? That's where I've seen 10-20% efficiency gains.

I use Claude for:

• Converting legacy database schemas into migration scripts
• Generating boilerplate for Telegram bot handlers (saves 30 mins per feature)
• Analyzing logs to catch patterns humans miss
• Writing test cases from existing code

These are boring, repetitive tasks that were costing clients real money. Not marketing optics.

The pattern I notice: AI shines when the output has a clear, measurable business impact. Brand consistency is subjective. Faster order processing isn't.

If you're building a product with AI, ask yourself: does this replace a decision or a grind? Replace grinds. Decisions need humans.

For my open source work—Seven CMS, Seven Suite—I'm experimenting with AI-assisted code generation for boilerplate. It works great for CRUD operations, middleware, API response formatting. Developers still review and own the output, but we move faster.

The real lever isn't "AI can do marketing." It's "AI can handle the 40% of work that's pure busywork."

Build for that. Everything else is noise.