01
Bring your existing agent.
Connect a supported Claude or OpenAI workflow and define what a good result looks like.
THE OPTIMIZATION LAYER FOR YOUR AGENTS
Better runs.
Less wasted spend.
You built the agent. We’re building a better way to run it. Find leaner prompts, smarter model choices, and less wasted work in your existing Claude and OpenAI workflows.
In development. Built with you.
Designed for
Claude
OpenAI
ClaudeOpenAIA LOOK AT WHAT’S TAKING SHAPE
Same agent. A lighter footprint.
Explore the concept with sample data. No API key. No connection required.
Runshaper / Optimizer
Interactive conceptCost per run $0.029 / run
↓ 65% $0.084 baseline
Avg. response time 1.2s
↓ 37% vs. baseline
Eval pass rate 98.4%
✓ Within target
A lighter cost footprint.
Baseline Optimized
Sample results · 500 example evaluationsQuality checked
Fictional sample dataIllustrative results, not a savings guarantee.
01 / THE WORKFLOW
From running to running better.
A new layer for the agents you already have.
02
Find the headroom.
Evaluate prompts, models, and tool calls against your baseline to find a more efficient configuration.
03
Make the call.
Compare cost, speed, and quality. Review the proposed changes and choose what to apply.
The planned early-access workflow. Integration details will be shared before you connect.
02 / LESS WASTE, BY DESIGNEvery token
Every token
should earn its place.
Efficiency is more than choosing a smaller model. We’re building Runshaper to examine the whole run.
Your quality bar comes first.Evaluate the tradeoff before applying a change.
MODEL SELECTION
The right model for each task.
Test whether a lighter model can handle simpler work, while keeping the heavy lifting where it belongs.
PROMPT & CONTEXT
Less context. More clarity.
Find redundant instructions and unnecessary context without losing the behavior your agent needs.
TOOLS & WORKFLOWS
A shorter path to done.
Surface repeated calls, unused tools, and predictable steps that could run more efficiently as code.
03 / GOOD QUESTIONS
A little more context.
Early days. Clear answers.
We’re building Runshaper to evaluate model selection, prompts and context, tool usage, and repeated workflow steps. The goal is to suggest a more efficient configuration and measure it against your existing quality baseline before you apply anything.
That’s the idea. We’re designing for existing Claude and OpenAI agents, rather than asking you to rebuild in a new platform. During early access, we’ll work with you to understand your setup and connect a compatible routine. A provider API key alone does not automatically expose every agent or workflow.
Not to join the list or try this preview. We’re planning a secure connection flow for early access. We’ll share the integration details and data handling policy before asking you to connect a provider.
The goal is to preserve the behavior you care about. Proposed changes will be evaluated against your baseline, with cost, latency, and quality shown together. You’ll review the tradeoffs and decide what to apply.
Runshaper is in development. This page is an interactive concept preview, and its example numbers are illustrative. Join the early-access list to tell us you’re interested and hear about pilot availability. No payment or API key is required.
Pricing hasn’t been set yet. We’re talking with teams about their agents, their spend, and what would make optimization useful. Joining the list is free and carries no commitment.
Your agent has potential.
Let’s find the headroom.
Help shape Runshaper. Join the early-access list
and tell us what you’re building.