To prevent engineers from gaming output-based pay, 10X assigns a "Technical Strategist" to each project. The engineer is paid for output, but the strategist is incentivized by client retention and account growth (NRR), creating a healthy tension that ensures high-quality work is delivered.

Counterintuitively, paying employees significantly more than the market rate can be more profitable. It attracts A-players and changes the dynamic from a zero-sum negotiation to a collaborative effort to grow the entire business. This fosters better relationships and disproportionately larger outcomes where everyone wins.

Shift your compensation model from hours worked to results achieved through structures like revenue-share, profit-share, or outcome-based bonuses. This aligns your pay with your skill and ability to create value, not your time commitment, allowing for unlimited earning potential.

Startups aim for non-linear outcomes yet often default to conventional, linear compensation bands. To properly incentivize breakthrough performance, founders must reward employees who have a disproportionate impact with equally disproportionate pay, breaking from standard practices.

Traditional hourly billing for engineers is obsolete when AI creates 10x productivity. 10X compensates engineers based on output (story points), aligning incentives with speed and efficiency. This model allows top engineers to potentially earn over a million dollars in cash compensation annually.

Lovable prioritizes hiring individuals with extreme passion, high agency, and autonomy—people for whom the work is a core part of their identity. This focus on intrinsic motivation, verified through paid work trials, allows them to build a team that can thrive in chaos and drive initiatives from start to finish without supervision.

The traditional tech compensation hierarchy has inverted. Top AI engineers at companies like Meta are receiving four-year liquid stock packages worth a billion dollars, surpassing the illiquid, long-term carry of even the most successful venture capitalists. This marks a significant shift in the most lucrative roles in tech.

The very best engineers optimize for their most precious asset: their time. They are less motivated by competing salary offers and more by the quality of the team, the problem they're solving, and the agency to build something meaningful without becoming a "cog" in a machine.

When one employee leverages AI to generate massive value (e.g., a new million-dollar revenue stream), standard compensation is inadequate. Companies need new models, like significant one-time bonuses, to reward and retain these high-impact individuals.