The check that runs before the build, not after.
Pavamana AI Labs is the pre-build AI agent doctor: we build a failure map of where your agent breaks before you build it, prescribe the fix, and forge the agent that passes. Point Faultmap at the goal and your data. It returns the map of where your agent will break and the first test suite it has to pass. There is nothing to instrument, nothing to deploy, and no code to write to get the first map.
Goal
Resolve customer support tickets and issue refunds
- 01Mapped safe
Read the request
Scoped, read-only
- 02Likely break
Call the payment or refund API
Retry loop, no timeout cap
- 03Structural risk
Pass context to the model
PII leakage vector
- 04Structural risk
Return the result
Unvalidated output shape
- 05Structural risk
Run under load
No rate-limit handling
First test suite · generated
- ›Payment call: enforce a timeout and cap retries at 3
- ›Prompt: redact PII before the model call
- ›Output: validate the shape before returning it
- ›Backoff and respect provider rate limits
Preview generated from your goal, in your browser. The full Faultmap runs on your goal, personas, data, and tools.
Goal, personas, data, tools
What it must do, who it serves, the data it reads, the tools it calls. No prompts, no traces.
Failure map
We map every step and mark where it breaks, in the design phase, before any code.
Test suite
The first tests it has to pass, generated from the failures we found.
We map the paths your agent will travel.
Your agent does not wander at random. Its goal, its user personas, the data it reads, and the tools it calls fix the paths it can take. We lay every path out and mark where it breaks, before the agent exists. The failure classes repeat across domains, so a pattern mapped once is recognizable in yours.
The failure classes we map for, again and again
No timeout, no cap. The agent calls until something gives.
The write target moved. The agent does not know yet.
Multi-turn memory locks past a turn threshold.
Private data reaches the model prompt unredacted.
A map, a test suite, and one link to share.
The failure map
Every step the agent takes, marked mapped safe, structural risk, or likely break, with the reason for each.
The first test suite
Concrete tests generated from the failures we found. The bar your agent has to clear before it ships.
A shareable artifact
One link your team, your client, or your reviewer can read in thirty seconds. A mark of craft, not a private report.
Map it. Fix it. Or have it built to pass.
- 01Read CRM recordMapped safe
- 02Call refund APILikely break
- 03Update ticket recordStructural risk
- 04Hold multi-turn stateLikely break
- 05Pass context to modelStructural risk
One step in front of your stack.
FaultmapBefore the agent exists. The only step where you can move a break point for cents instead of a sprint.
Pavamana AI Labs does not replace your stack. It owns the one step in front of it.
See Faultmap vs each tool →See where your agent breaks.
Run a free Faultmap on your goal and your data. No card, no code.