Optimize your Copilot Studio
agents with AI
Autonomous experimentation finds the best instructions for your agents. Measurable improvement, zero guesswork, minimal Copilot credits.
The problem
Deploy and hope
Most organizations write agent instructions once and never measure how well they actually work. When something goes wrong, it's manual prompt engineering by trial and error — no data, no feedback loop, no way to know if you're improving.
The solution
Measure, mutate, deploy
Calibrant runs a population-based search across your agent's instruction space. Four mutation strategies compete to find improvements. An AI judge scores every variant across multiple dimensions. You deploy the winner in one click.
How it works
Four steps from baseline to optimized.
Connect
Link your M365 tenant and configure the Power Automate flow.
Define
Create evaluation suites with test queries and scoring rubrics.
Optimize
AI runs experiments, mutates instructions, and scores every variant.
Deploy
Apply the winning instructions to Copilot Studio in one click.
Built for serious optimization
Not another prompt playground. A scientific experimentation engine.
4 Mutation Strategies
Textual gradients, differential evolution, component optimization, and rule induction — selected by Thompson Sampling.
AI Judge Scoring
Multi-dimensional rubrics scored by Claude with confidence-weighted majority voting across multiple rounds.
Persona-Based Testing
Test your agent as different real users — department, role, location. Scores broken down by persona.
Instruction Version Control
Full history of every variant, with diffs showing exactly what changed between iterations.
Live Progress Monitoring
Watch scores converge in real time. Strategy badges, best score tracking, and iteration-by-iteration detail.
One-Click Deployment
Apply optimized instructions directly to Copilot Studio via your Power Automate flow. No manual copy-paste.
Real results
What optimization looks like across verticals.
HR Support Bot
Inconsistent answers to leave policies, benefits enrollment, and internal processes.
93% accuracy on policy questions after 2 optimization runs.
IT Helpdesk Agent
Over-escalating simple issues, under-escalating complex ones.
Escalation accuracy improved 52% with rule induction targeting edge cases.
Compliance Agent
Hallucinating regulation references and missing citation requirements.
Zero hallucinated citations after optimization with grounding-weighted rubric.
Ready to optimize?
Connect your M365 tenant, register an agent, and let Calibrant find better instructions — autonomously.
Get Started