2025-09-11

Ship the Feature—Let the User Pay the Tokens

Every time your user presses 'Generate,' you pay a tiny invoice. Here's why you should stop gambling on token costs and start building features that forward the cost where it belongs.

Published on 2025-09-11 by Fred

1. SaaS Muscle Memory vs. LLM Physics

Ask any indie hacker how to price a new SaaS and you'll get the same muscle-memory answer: pick a monthly plan, sprinkle a free tier, iterate later. That worked when hosting was pennies. Then LLMs arrived. Every time your user presses "Generate," you pay a tiny invoice—instantly, irreversibly. Multiply that by thousands of curious free-plan clicks and the Old SaaS Playbook turns into a silent cash incinerator.

I watched it happen at my last job. We were building an AI coding assistant, growing nicely, and burning through five-figure euros every month in Anthropic/OpenAI calls. Revenue? Rounding error. Management kept hoping "token prices will drop" or "once we nail PMF the spend won't matter." Spoiler: neither happened.

2. The Token-Efficiency Rabbit Hole

As lead AI engineer, I did what engineers do:

Tactic Result
Swap gpt-3.5 for chit-chat, GPT-4 for code ≈ 40% fewer tokens
Context trimming & log pruning ≈ 30% fewer tokens
Prompt surgery minor savings, major headaches

Charts looked nicer. Finance still hated me. Optimization is great—if you're not the one paying every prompt.

3. The Micro-Invoice Rule

If a user generates the tokens, the user should also generate the invoice.

That one sentence is why Replit, Cursor, Bolt, and half of VC-Twitter eventually pivot to usage-based pricing. The problem? There's no Stripe-easy drop-in for LLM metering, promo caps, or bring-your-own-key. Every founder hacks a half-solution and prays their edge cases are cheap.

4. My Wrong Turn—Codermodel

When I left that startup, my first instinct was more optimization. I shipped Codermodel.com—a gateway that shrank request context on the fly. Cool demo, microscopic audience. A dozen sign-ups kicked the tires; nobody shipped traffic. I'd built aspirin for a headache only three teams even noticed.

5. The Weekend Hack That Stuck

What builders really need is peace of mind:

  • OAuth login → identify the user
  • User tops up credits (1 credit ≈ $1) or connects their own OpenAI key
  • Optional promo-credit bucket (e.g. $0.50) that self-caps

I already had proxy code and Stripe hooks from Codermodel, so one weekend I stapled them together. Monday morning I could finally push a feature without worrying if the next TikTok thread would bankrupt me.

That prototype became AI@YourService.

6. Three Lessons You Don't Need to Pay Five Figures to Learn

  1. Start usage-based day one. You'll end up there anyway—better to look smart than desperate.
  2. Cap promo credits. Give users a taste, not your runway.
  3. Separate your SaaS fee from token spend. Predictable margin + transparent usage beats guesswork every time.

7. Want Proof?

Open our App Agent Template demo, try the agent features, and watch credits tick down your balance—not mine. That's the point. I get to keep shipping; you pay only for what you consume.

8. Ready to Forward the Cost and Keep Building?

I'm opening a limited beta:

  • Growth-tier features free for the first 50 projects
  • Drop-in proxy URL, no metering code
  • BYO key support for security-obsessed teams

👉 Grab access → AI@YourService

Stop gambling on token invoices—ship faster, sleep better.


Fred — indie hacker, prompt-invoice abolitionist.