A/B test your agents.
With real work. Zero risk.
Clone any agent with proposed changes. The original keeps serving your business unchanged. The clone runs in parallel on the same inputs for up to 7 days, until you have evidence, not guesses.
Two tracks. Seven days. One decision.
Both tracks process the same real-world work, side by side, for up to 7 days.
The same real work feeds both tracks, every day
Active Agent
Your live agent, untouched
Same work, original config. Holds a steady baseline to measure against.
Shadow Clone
A copy under test, running in parallel
Same work, modified config. The signal sharpens as evidence accumulates.
The owner decides
Evidence, not guesses. Pick one.
PROMOTE
Replace the original entirely
The clone becomes the new live agent. All changes applied at once.
When: The clone clearly outperformed the original across the board. Not easily reversible.
CHERRY-PICK
Apply only the changes that worked
A side-by-side comparison shows every field that differs. Check the wins, leave the rest. Surgical adoption, not all-or-nothing.
When: Some changes helped, others didn't. Personality landed; the new model was too slow.
DISCARD
The safe default
Throw the clone away. The original continues unchanged. Comparison data is kept for reference; the clone stops running.
When: The clone underperformed, or the test was inconclusive. Zero impact on the live agent.
Change one thing. Or change them all.
Role Prompt
Rewrite how the agent thinks. Change its priorities, its decision framework, or its domain focus.
Personality
Adjust tone, verbosity, formality. Same brain, different communication style.
LLM Model
Sonnet vs Haiku, GPT vs Gemini. Is the quality improvement worth the cost difference? Side-by-side examples answer the question.
Combined
Change everything at once. New prompt, new personality, new model. Compare the full package against the original.
What it looks like in your industry.
Model Upgrade: Haiku to Sonnet
Clone the CMO with Sonnet. Run both for a week. Is the quality improvement worth the higher cost per call? Side-by-side examples answer the question.
Test: Model · Duration: 7 days · Compare: quality vs cost
Casual vs Professional Tone
Same prompt, same model. Clone the CEO with a casual, in-the-trenches personality. After a week: which version do you actually act on?
Test: Personality · Duration: 3-5 days · Compare: engagement
Tax Season Mode
Clone the CEO with a tax-season prompt: filing deadlines, staff overtime, document collection. Run it for 7 days during peak season. Does it catch deadline risks the year-round version misses?
Test: Role prompt · Duration: 7 days · Compare: focus
Shadow Clone tests configurations. Validation Agents test outputs.
Shadow Clone answers 'should I change how this agent works?' Validation Agents answer 'is this specific output trustworthy?' They solve different problems and work together.
See Validation Agents →Test before you commit.
Book a call and we will show you how Shadow Clone lets you experiment safely on your live business data.