Agent intelligence as upsell

This pricing design turns product depth into revenue expansion, because the same user who starts with cheap, low-risk automations naturally consumes more credits as they hand agents longer prompts, more tools, and higher-stakes work. That means expansion does not depend mainly on adding seats. It happens inside the workflow itself, with spending rising as the agent moves from quick helper to something closer to a delegated operator.

• The key mechanic is that intelligence level and credit burn are linked. Tasklet offers four model tiers, from Basic on Claude Haiku to Genius on Claude Opus with enhanced context, so a user pays more not through a separate enterprise module, but by choosing a more capable agent for harder jobs.
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• This is the same monetization logic showing up across agent products. Replit moved from flat checkpoint pricing toward effort-based pricing where simple runs can cost cents and harder jobs cost dollars. Cursor also shifted team billing from fixed credits toward variable request costs as agent work became more open-ended.
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• The margin implication is just as important as the upsell. Because Tasklet runs almost entirely on Anthropic, heavier use of Opus and larger context windows raises API cost alongside revenue. Prompt caching is what keeps the ladder attractive, letting users spend more without unit economics breaking as context gets longer.
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Going forward, the strongest agent companies will look less like seat-based SaaS and more like a blended software and compute business. For Tasklet, growth comes from pushing users into recurring, high-trust workflows where paying for smarter runs feels like buying labor, not buying another software tier.