Research overview
Research is the umbrella for systematic work in Chatty the Lab. It brings your datasets, experiments, human-labeling jobs, and research notes together so a line of inquiry stays organized from raw data to written-up findings.
Use Research when you want to go beyond one-off chats: run a parameter sweep over an agent graph, annotate a dataset with a team, compare results across trials, and keep a shared logbook of what you learned.
The Research hub
Section titled “The Research hub”The hub (/research) lists two things:
- Investigations — research containers, each showing its counts of experiments, annotation jobs, and datasets.
- Datasets — your global, shareable data tables (also reachable from any investigation).
Investigations (research containers)
Section titled “Investigations (research containers)”An investigation is a soft grouping around a question or project. It is intentionally lightweight:
- It owns its experiments and labeling jobs (1:N) — they belong to exactly one investigation.
- It shares datasets (M:N) — the same dataset can be used by many investigations and across workspaces.
You can create, rename, and delete investigations at any time. Deleting one does not delete the datasets it merely shared.
The six tabs
Section titled “The six tabs”Open an investigation (/research/[id]) to find six tabs:
| Tab | What it holds |
|---|---|
| Overview | Summary of the investigation, its counts, and quick links |
| Datasets | Datasets attached to this investigation (shared, M:N) |
| Experiments | Parameter sweeps over an agent graph, producing trials |
| Annotations | Human-labeling jobs over a dataset |
| Results | Aggregated outcomes and plots across experiments and trials |
| Logbook | Collaborative markdown notes and findings |
How the pieces relate
Section titled “How the pieces relate”A typical flow: attach a dataset, build an experiment that runs an agent graph over that dataset across a parameter space, inspect the resulting trials and results, optionally spin up a labeling job to have humans annotate records, and write everything up in the logbook — linking back to the specific experiments and trials you reference.