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Basic usage

Kady works in a project containing your files, chats and research records. The tools run on the BYOK backend host, which may differ from the device running your browser.

Start a task

  1. Create or open a project and connect a model in Settings → Providers.
  2. Select the model, thinking level and compute beside the composer.
  3. Supply data and describe the question, study design and expected outputs.
  4. Review tool activity, generated files and the notebook as work proceeds.

For example: “Compare treated and control samples in counts.csv; genes are rows. Check the design and QC, save the analysis script, and plot the results.” Kady can read/write files, execute code, search sources, use enabled skills and delegate to specialists. It may ask blocking questions through an inline form. Generated claims and structured result cards still need review.

Workspace and chats

The file browser is on the left, previews/editors in the center and chat on the right. Drag dividers to resize or use the header buttons to hide either side. Click a file to preview or edit it.

A project supports up to 10 chat tabs, each with its own history and model. They share project files and budget, so concurrent work can affect the same outputs. Closing a chat tab inside Kady aborts its active turn; browser refresh or closing the browser only detaches the view. Reopening reconnects while the backend remains running. Backend restarts end ordinary active turns; saved history remains available from Chat history.

During a run, Steer supplies text guidance and Follow up queues a later message. Images sent mid-run use follow-up rather than steering. The client queue holds up to five messages. Stop ends the current turn.

Paste, drop or select images to send them directly to a vision-capable model. Other file attachments use sandbox uploads. Sending data to hosted models, connectors or remote compute can transfer it off the backend host.

Kady can also generate images — schematics, pipeline diagrams, graphical abstracts, or edits of a sandbox image — with an OpenRouter image model (an OpenRouter key or sign-in is required). Choose the model under Settings → Defaults → Image generation, or name one in chat. Images are saved under figures/generated/ unless you name a path, and are never overwritten. Each one is billed by OpenRouter and counts toward the project cap. Image models draw; they do not compute, so data plots are made with code. Check generated labels for spelling before using a figure.

Workflows

Open the workflow library, choose a template, fill its fields and click Run workflow. It runs in the active chat. A Needs user data badge means the task needs inputs; it does not require a fresh browser upload.

Workflow data locations

The launch dialog supports combined input sources:

Location How to supply it
Existing project data Use the default project file/folder picker. Files become attachments; folders become relative references without enumerating all contents.
Browser device Upload files or folders and wait for completion. Folder structure is retained.
Backend host or mounted volume Enter a host path, one per line. Relative paths refer to the project sandbox; container paths must exist inside the container.
Remote storage Enter an HTTPS URL or storage URI that the host's tools/connectors can access. A URI does not configure credentials.

Paths and URLs are references for the agent to resolve, not automatically imported or verified data. The workflow instructs Kady to check access before analysis, preserve originals and save outputs in the project sandbox. Avoid secrets and signed URLs in these fields: references persist in chat. A reference alone does not authorize remote upload.

To expose host data in previews, put or mount it in a visible subdirectory of projects/<projectId>/sandbox/ (under KADY_PROJECTS_ROOT if overridden). External paths may be accessible to the agent's shell but are not served by the sandbox preview API; escaping symlinks are refused. Files placed directly on disk do not receive upload provenance, and external paths are not automatically covered by the raw-data guard.

Records, compute and cost

  • Lab Notebook records authored hypotheses, methods, observations and decisions; see the notebook guide.
  • Provenance in a file's preview shows observed execution and file lineage; see Provenance.
  • Compute lists durable Modal jobs, their logs, outputs and controls. Background jobs require explicit cancellation and can survive a stopped chat or backend restart.
  • Automation provides schedules, missions and specialist controls.
  • The header cost pill shows session and project usage. Set the project's spend limit in Settings → General → General & budget; billing rules determine what counts.
  • The host resource pill displays machine CPU/RAM/GPU activity. It does not automatically route tasks to local or remote compute.

Settings

Group Panels
Models Providers, Defaults, Fusion
Project General, Skills, Prompt templates, Specialists, Connectors
Workspace Services, Appearance

General includes project metadata/budget, agent instructions, raw-data guard and context compaction, each saved separately. Skills, specialist definitions and connector edits generally apply to new chat tabs; active sessions keep their loaded configuration. Provider credentials and local server addresses apply live.