Getting started

This is the five-minute tour: from a dataset to a board pack to a swarm council.

1. Open the pipeline

Scelo opens on the pipeline, straight after its launch intro. The macro view shows three stages wired together:

Each node has a one-line summary, a scoped chat box, and an open → link that drills into that stage's full workstation.

2. Soft Data — load and clean

Open the Soft node.

1. Click load sample (or import csv / parquet for your own file).
2. The grid appears with a per-column header showing type (abc / 123 / 📅), a mini distribution, and quality.
3. If the data needs cleaning, a banner appears above the grid — tick the ops you want and Apply, or just type clean my data in the chat.
4. For dates, click the 📅 ▾ badge on a date column and pick a format (American / European / ISO), or ask the chat make the dates american.

See Soft Data for everything this stage can do.

3. Tools — choose models

Click next: tools →. You get a bench of actuarial models (Chain Ladder, Mack, Bornhuetter-Ferguson, Lee-Carter, Cairns-Blake-Dowd, WMTR forecast, …).

• Click models in the catalog (right-hand panel), or hit identify models to let Scelo suggest a set for your data's domain.
• The canvas is a typed graph: the dataset hub offers only the inputs your data really contains, and wires join pins whose types agree. Drop a wire on empty canvas, or right-click it, for the models that fit. A model your data can't feed says why on its node.
• Each model node has a scoped chat (swap chain-ladder for Mack, compare models).

See Tools.

4. Hard Data — run and read

Click next: hard →. Scelo runs every switched-on model and lays the results out on a canvas:

• Result nodes show a headline number, a sparkline or table, and a confidence interval. Click the ⤢ to open a model's detail dashboard. A model whose inputs aren't in your data says not applicable, with the reason.
• The Board Pack hub aggregates everything; click its ⤢ (or report · pdf in the toolbar) for a printable board pack, summarised in plain English.
• In the result side panel, Convene council sends a result's forecast to the swarm.

See Hard Data.

5. The swarm — pressure-test it

After convening a council, click Open in swarm to jump into the full swarm view: a deliberation graph, society pulse, and a population simulator.

See The swarm. (The swarm runs as its own local server, which Scelo IDE bundles and starts with the app — see Running the swarm.)

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Everything is reproducible

At any stage, export · code turns what you've done into a runnable Python, R, or C++ script. See Exporting.