Zero Revenue Honesty - The Fighting Phase of Building Agents
Zero Revenue Honesty - The Fighting Phase of Building Agents
There is a phase of building AI agent products that nobody talks about publicly. Zero revenue. Zero users. Just you and a codebase that almost works but not quite. This is the fighting phase, and pretending it does not exist helps nobody.
Why Honesty Matters Here
Most AI agent demos look impressive on Twitter. A 30-second video of an agent filling out a form or navigating a website. What you do not see is the 47 edge cases that break between demos, the model regressions that undo a week of work, or the fact that the builder has zero paying customers.
Being honest about zero revenue is not weakness - it is useful signal. It means you are in the building phase, not the selling phase. Conflating the two leads to premature optimization: spending time on pricing pages when you should be fixing reliability.
The Fighting Phase
Every agent builder hits this wall. The agent works 80% of the time but fails on the 20% that matters most. You fix one failure mode and introduce another. The LLM gets updated and half your prompts break.
This is normal. It is the cost of building something that interacts with real systems instead of generating text in a sandbox. Desktop agents especially - they deal with UI changes, permission dialogs, and application state that shifts between OS updates.
What Gets You Through
Small wins. An agent that successfully completes a workflow end-to-end for the first time. A user who tries it and says "this actually saved me time." A bug fix that eliminates an entire category of failures.
The fighting phase ends when reliability crosses a threshold where you can show the product to strangers without apologizing first. That threshold is not perfection - it is consistency.
Track your zero revenue days. They are the foundation, not the failure.
Fazm is an open source macOS AI agent. Open source on GitHub.