Use case

Pre-sales solutions

Customer-specific working software between the discovery call and the next meeting — in the prospect's words, on a real backend, unmetered.

The problem: what I can show them Tuesday is a slide

Every sales engineer we talk to describes some version of this — a composite, not a customer quote. They told me the whole returns process on the discovery call: shared inbox, a spreadsheet with eleven tabs, and a warehouse lead who finds out on Friday what came back on Monday. I know what would fix it. What I can show them next Tuesday is a slide.

That is the pre-sales gap. Engineering cannot spare a sprint for a prospect who has not signed. A generic demo calls their Return a Ticket and loses the room. And on a credit-metered builder, every iteration on a throwaway build is a purchasing decision.

What gets built: their nouns, their workflow, a working backend

A working app in the prospect’s vocabulary, before the next meeting. Not a mockup — Postgres tables with a lookup between them, forms with signature and multiple-choice fields, and a workflow that emails the warehouse lead when a return is logged.

  • Objects named for their process: rma_return, rma_item, rma_disposition. Each is a real table with the standard columns underneath.
  • Forms with the field types the process needs — lookups between return and item, a multiple-choice outcome, a signature on the disposition.
  • Workflow that emails the warehouse lead when a return is logged. Their pain point, addressed on the first screen they see.
  • Grids for open returns by age and returns awaiting disposition — the two views they said they wished they had.
  • Screens generated from the objects; groups so customer service and the warehouse each see their own slice.

Every one of those lines is a named operation on the platform, authenticated with your token. The agent stages the edits, shows you an entity-level diff, and commits when you say so. Nothing is published to the prospect by accident.

Starter prompt

Swap the nouns for the prospect’s own and keep the shape.

Build a solution called Acme Returns for a distributor prospect who tracks product returns in a shared inbox and a spreadsheet.
Objects: Return (customer, order number, reason, received date, status); Item (return, SKU, quantity, condition, photo); Disposition (return, outcome as multiple choice: restock / refurbish / scrap, notes, signature).
Use their vocabulary — it is a Return, not a Ticket, and the outcome is a Disposition.
Create a Warehouse group that sees everything and a Customer Service group that sees Returns and Items but cannot set a Disposition.
Generate the screens, add a grid of open returns sorted by age, and add a workflow that emails the warehouse lead when a Return is created.
Preview the diff before you commit, and do not publish yet — I want to review it with the prospect first.

Ship it: nothing reaches the prospect until you publish

Review the app yourself first — Current is the working copy, and every committed edit bumps its version. One publish and the prospect can click it, not a minute before you say so: publish-solution moves Current to Testing and Production in one step, and the groups you created decide who sees what inside the app.

Current Testing Production

Iterate after the meeting: add the field they mentioned twice, rename the status they argued about, publish again. No tokens. No credits. No meter. You bring the AI subscription you already pay for. A speculative build costs you the afternoon and nothing else. If the deal closes, the app they saw is the app they get — same data model, no rebuild by engineering.

What the organization license covers, and what it does not: how we price  ·  how the category actually bills, with sources.

Integrations used

Email out of the box. A PDF summary of a return on request, generated by a workflow activity. When the prospect’s ERP needs to know, an ExternalService activity posts to Zapier, Make, n8n or any HTTP endpoint you name.

For the person who has to say yes

Your IT lead will ask who can publish this, who can see the data, and what the agent is allowed to touch. The answers are written for them: the IT brief  ·  security and governance.

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