eode docs
Getting started

What is eode?

eode turns a plain-English description of your business into a working decision model — and gives you answers you can act on.

eode is a decision platform. You describe your business in plain English; RIA, eode's built-in assistant, asks about what you left unclear, builds a working optimization model of it, solves it, and reads the answer back in your own words. No spreadsheet modeling, no optimization expertise required.

What you can do with eode

  • Build a decision model from your own words. The New Model wizard walks five steps, and proves the model on generated sample data before your numbers ever move. Bring a model you already have instead, if you have one.
  • Ask "what if?" Every question you ask becomes a scenario — compare it against your base, diagnose why something isn't possible, and verify results with exportable evidence.
  • Analyze in workspaces. Saveable canvases of charts, tables, maps, and metrics over your solved scenarios — built by hand or proposed by RIA.
  • Operationalize with workflows. Publish repeatable stage-by-stage processes with roles and approval gates, and run them with your team.
  • Plan sites. The built-in Site Planner places facilities, standalone or over a solved scenario. It is enabled per deployment — ask your account admin whether you have it.

How a decision gets made

The five steps are the product's own, and you see them in the step rail every time you author a model:

  1. Describe — name the model, say what to maximize or minimize, what must never break, how the business runs, and which datasets to attach.
  2. Clarify — if you attached data, you first check how RIA read it. Then "Where something is unclear I will ask" — "Answer what you can, skip what you do not know, add anything I missed." You set how hard RIA pushes: Light, Moderate or Intense.
  3. Build — the structure is built on generated sample data and proven, then you check the design on one page, Confirm or Needs correcting for each section, and accept it.
  4. Load data — point each table the model asks for at one of your datasets, or keep the sample numbers and load yours later.
  5. Solve — the baseline is solved and read back in business language: "Does this read like your business?"

From there the model has a home page, a Base scenario, and KPIs you can trace.

Next steps

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