The AI Agent market is currently in a "Wild West" phase of pricing. While most platforms have transitioned from per-seat licenses to usage-based models, a critical flaw remains: users are still paying for failure. Today, we are updating Aident’s pricing to fix this industry-wide inefficiency.

1. The Industry Context: Why Traditional Pricing is Broken

In the traditional automation (No-Code/SaaS) market, platforms like Zapier or Make charge per task or operation. In that world, logic is deterministic—if the trigger hits, the task runs.

However, AI Agents are probabilistic. According to recent industry benchmarks, complex browser-based AI agents face a 20%–40% failure rate due to dynamic DOM changes, network latency, or model hallucinations. Under standard industry pricing, a user attempting to automate a high-value workflow might spend $50 in credits just to get one successful run.

We call this the "Trial-and-Error Tax," and we believe it is the single biggest barrier to enterprise AI adoption.

2. The Aident Shift: Success-Based Billing

We are aligning our incentives with your outcomes. Our new pricing model introduces two fundamental shifts:

• Free Instruction Design (Playbook Generation): Most platforms charge for "tokens" used during the build phase. At Aident, generating and refining a Playbook is now free. We want you to iterate on your Instruction Design until it's perfect, without watching the meter.

• Guaranteed Execution: Aident now automatically refunds credits for any failed run. Whether it’s a site-side change or an agent logic error, if the task isn't completed, the cost is $0.

3. Scaling for the Enterprise

As AI moves from experimental scripts to core infrastructure, "self-serve" credits aren't enough. We are officially introducing the Aident Enterprise Plan.

This plan is designed for organizations where reliability is non-negotiable. It includes:

• Forward-Deployed Engineering (FDE): For complex, multi-step legacy systems, our team works alongside yours to ensure 99.9% execution success.

• Predictable Cost Structures: Moving away from volatile credit fluctuates to volume-based flat rates.

• Infrastructure Isolation: Dedicated compute resources for high-frequency workflows.

The Bottom Line

AI should be a tool for efficiency, not a line item for "unsuccessful attempts." By removing the cost of failure, we are enabling our users to build more ambitious, complex, and high-frequency automations.

The update is live for all accounts today.

Explore the new terms: aident.ai/pricing