The check that runs before the build, not after.
Pavamana AI Labs is the pre-build AI agent doctor: we map where your agent breaks before you build it, prescribe the fix, and forge the agent that passes. Give Faultmap the goal, users, data, and tools. It returns a validation dataset generated for that agent and use case. There is nothing to instrument, nothing to deploy, and no code to write for the first 20-test preview.
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.
The screen the customer sees before they sign anything.
Same task, three architectures, quoted side by side. The accuracy band and the run cost in one view — so "cheaper" never has to be a trust exercise.
Frontier reflex
biggest model, every call
90–97%
$150–600+
Cheapest possible model
the cliff — cheap alone fails
~70–93%
near zero
Right-sized + validated
inside the frontier band, proven pre-build
93–97%
$2.10–6.50
Approximate bands from public pricing (Aug 2026); actual costs vary by workload, model, region, and provider terms. Your agent ships with its own quote.
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.
Preview 20 agent-specific validation tests free. No card, no code.