Technology
Oct 4, 2025
Balancing Exploration and Exploitation in Product Building Copy
Balancing Exploration and Exploitation in Product Building Copy
Balancing Exploration and Exploitation in Product Building Copy
Switching to usage-based pricing didn’t just change how customers pay. It changed how we build. Our customers don’t pay for API calls or execution time. They pay for results - which means every credit has to deliver measurable value. This shift forced us to rethink reliability, precision, and transparency across our entire stack.
Aditya Lahiri
Aditya Lahiri
Aditya Lahiri
Co-Founder & CTO @ OpenFunnel
State Management at Scale
Usage-based pricing means every action has cost implications, so we engineered stateful resilience into our agents.
Our workflows now run across distributed nodes, executing in parallel with full checkpointing.
We built a system that:
Serializes agent context mid-execution
Persists state across nodes
Resumes seamlessly after interruptions
Resumes seamlessly after interruptions
The result: agents that can pause, recover, and continue reasoning without losing context - just like humans would.
Quality as Infrastructure
If customers pay per credit, quality isn’t a metric. It’s infrastructure.
We instrumented the entire pipeline with precision metrics and embedded validation directly into the orchestration layer.
Each credit is tracked for outcome quality, not just completion.
The system continuously learns from output variance, rewarding reliable performance and tightening quality feedback loops.
Every credit used must equal value created.
Operational Transparency
We made traceability a first-class feature.
From raw data to reasoning chains, customers can see exactly how each result was generated.
This visibility turns the reasoning process itself into a WOW moment - a clear window into the agent’s logic, not a black box.
Customers instantly see what they’re paying for and why it matters.
Operational
Building for usage-based pricing pushed us to engineer for meaning, not volume.
The result is:
More resilient agents
Higher measurable quality
Complete transparency across every reasoning step
We now charge for what truly matters - results, not API calls.
Pricing models shape architecture. When customers pay for outcomes, engineering must deliver on value, not volume.
State Management at Scale
Usage-based pricing means every action has cost implications, so we engineered stateful resilience into our agents.
Our workflows now run across distributed nodes, executing in parallel with full checkpointing.
We built a system that:
Serializes agent context mid-execution
Persists state across nodes
Resumes seamlessly after interruptions
Resumes seamlessly after interruptions
The result: agents that can pause, recover, and continue reasoning without losing context - just like humans would.
Quality as Infrastructure
If customers pay per credit, quality isn’t a metric. It’s infrastructure.
We instrumented the entire pipeline with precision metrics and embedded validation directly into the orchestration layer.
Each credit is tracked for outcome quality, not just completion.
The system continuously learns from output variance, rewarding reliable performance and tightening quality feedback loops.
Every credit used must equal value created.
Operational Transparency
We made traceability a first-class feature.
From raw data to reasoning chains, customers can see exactly how each result was generated.
This visibility turns the reasoning process itself into a WOW moment - a clear window into the agent’s logic, not a black box.
Customers instantly see what they’re paying for and why it matters.
Operational
Building for usage-based pricing pushed us to engineer for meaning, not volume.
The result is:
More resilient agents
Higher measurable quality
Complete transparency across every reasoning step
We now charge for what truly matters - results, not API calls.
Pricing models shape architecture. When customers pay for outcomes, engineering must deliver on value, not volume.
State Management at Scale
Usage-based pricing means every action has cost implications, so we engineered stateful resilience into our agents.
Our workflows now run across distributed nodes, executing in parallel with full checkpointing.
We built a system that:
Serializes agent context mid-execution
Persists state across nodes
Resumes seamlessly after interruptions
Resumes seamlessly after interruptions
The result: agents that can pause, recover, and continue reasoning without losing context - just like humans would.
Quality as Infrastructure
If customers pay per credit, quality isn’t a metric. It’s infrastructure.
We instrumented the entire pipeline with precision metrics and embedded validation directly into the orchestration layer.
Each credit is tracked for outcome quality, not just completion.
The system continuously learns from output variance, rewarding reliable performance and tightening quality feedback loops.
Every credit used must equal value created.
Operational Transparency
We made traceability a first-class feature.
From raw data to reasoning chains, customers can see exactly how each result was generated.
This visibility turns the reasoning process itself into a WOW moment - a clear window into the agent’s logic, not a black box.
Customers instantly see what they’re paying for and why it matters.
Operational
Building for usage-based pricing pushed us to engineer for meaning, not volume.
The result is:
More resilient agents
Higher measurable quality
Complete transparency across every reasoning step
We now charge for what truly matters - results, not API calls.
Pricing models shape architecture. When customers pay for outcomes, engineering must deliver on value, not volume.
State Management at Scale
Usage-based pricing means every action has cost implications, so we engineered stateful resilience into our agents.
Our workflows now run across distributed nodes, executing in parallel with full checkpointing.
We built a system that:
Serializes agent context mid-execution
Persists state across nodes
Resumes seamlessly after interruptions
Resumes seamlessly after interruptions
The result: agents that can pause, recover, and continue reasoning without losing context - just like humans would.
Quality as Infrastructure
If customers pay per credit, quality isn’t a metric. It’s infrastructure.
We instrumented the entire pipeline with precision metrics and embedded validation directly into the orchestration layer.
Each credit is tracked for outcome quality, not just completion.
The system continuously learns from output variance, rewarding reliable performance and tightening quality feedback loops.
Every credit used must equal value created.
Operational Transparency
We made traceability a first-class feature.
From raw data to reasoning chains, customers can see exactly how each result was generated.
This visibility turns the reasoning process itself into a WOW moment - a clear window into the agent’s logic, not a black box.
Customers instantly see what they’re paying for and why it matters.
Operational
Building for usage-based pricing pushed us to engineer for meaning, not volume.
The result is:
More resilient agents
Higher measurable quality
Complete transparency across every reasoning step
We now charge for what truly matters - results, not API calls.
Pricing models shape architecture. When customers pay for outcomes, engineering must deliver on value, not volume.
