Add to roadmap

Testing and eval integration should be top IMO.

README.md

@@ -64,13 +64,14 @@ Then read through some of the concepts and write your own application!
 
 While Burr is stable and well-tested, we have quite a few tools/features on our roadmap!
 
-1. Various efficiency/usability improvements for the core library (see [planned capabilities](https://burr.dagworks.io/concepts/planned-capabilities.html) for more details). This includes:
+1. Testing & eval curation. Curating data with annotations and being able to export these annotations to create unit & integration tests.
+2. Various efficiency/usability improvements for the core library (see [planned capabilities](https://burr.dagworks.io/concepts/planned-capabilities.html) for more details). This includes:
    1. Fully typed state with validation
    2. First-class support for retries + exception management
    3. More integration with popular frameworks (LCEL, LLamaIndex, Hamilton, etc...)
    4. Capturing & surfacing extra metadata, e.g. annotations for particular point in time, that you can then pull out for fine-tuning, etc.
-2. Cloud-based checkpointing/restart for debugging or production use cases (save state to db and replay/warm start, backed by a configurable database)
-3. Tooling for hosted execution of state machines, integrating with your infrastructure (Ray, modal, FastAPI + EC2, etc...)
+3. Cloud-based checkpointing/restart for debugging or production use cases (save state to db and replay/warm start, backed by a configurable database)
+4. Tooling for hosted execution of state machines, integrating with your infrastructure (Ray, modal, FastAPI + EC2, etc...)
 
 If you want to avoid self-hosting the above solutions we're building Burr Cloud. To let us know you're interested
  sign up [here](https://forms.gle/w9u2QKcPrztApRedA) for the waitlist to get access.