Ponder Fix-it

A specialized model that learns from your agent’s errors.

Explore Ponder Fix-it

Fix-it captures errors

Automatically from your connected harness.

Tool errors

create_record(count=3)create_record(count=8)

Verified fixes

create_record(quantity=3)create_record(quantity=8)

Learn from fixes

  1. Review corrections
  2. Train & evaluate
  3. Consult on failure
You choose verified recoveries, approve training, and select a qualified model. On a future tool failure, your agent can request specialist advice and capture the verified correction.
Base
1/3
Trained
2/3
Cases
3

Ponder Training

Bring your datasets and rewards. Prepare training, preserve each checkpoint, evaluate the result, and serve your selected model through OpenPond’s API. Choose the adapter strategy that fits your workload, with explicit control over what goes live.

Explore Ponder Training
Training loopLoRA adapter
  1. RolloutsGenerate responses
  2. GradeScore with your rewards
  3. Update LoRATrain adapter weights
  4. CheckpointVersion your adapter
  5. EvaluateCompare with baseline
  6. ServeCall your model API
New outcomes. Next adapter.

OpenPond Desktop & Harness

Work with agents beside your local projects, then turn a dataset into an evaluation plan without leaving the app.

Explore Desktop

Start with a real task.

Get to work with OpenPond.