Pricing & engagement

Priced for the result, not the hours.

You are not buying clicked minutes, you are buying an outcome: a scraper that saves real money, an automation that removes real work, an app that runs your process. Here is exactly how engagements and pricing work, and how to get a real number for your project, fast.

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The principle

Outcome over hours. Evidence over promises.

Hourly billing quietly punishes speed: the faster and better the work, the less you pay, which is exactly backwards. I price for the result instead. If an automation saves your team two days a month, that saving is the value, however long it took me to build it with modern tooling.

It also keeps risk where it belongs. The fixed-price audit and the low-cost pilot mean you spend a little to find out whether the full build is worth a lot, before committing a real budget. You are never asked to bet big on a promise. You bet small on a plan, then bigger on proof. See the full delivery process for how each stage works.

Engagement models

Four ways to work together, matched to risk.

Each maps to a phase of the method, so the commercial model follows the work instead of fighting it.

Audit

Fixed price

3-5 days

A small, fixed fee for the Map phase. You get a process map, a ranked shortlist of what to automate, the expected saving, and a real estimate for the rest. The cheapest way to replace guesses with a plan.

  • Predictable, known up front
  • Useful even if you stop there
  • Often credited toward the build

Pilot

Quoted, low

1-2 weeks

A fixed quote for the Prove phase: one working piece on your real data. Deliberately small, so you spend a little to learn whether the full build is worth a lot.

  • Proves value before the big budget
  • Runs on your actual data
  • De-risks the whole project

Build

Per project

Scoped after the pilot

The production system, quoted as a project once the scope is genuinely understood. Priced for the result and the saving it creates, not for clicked minutes.

  • Fixed scope, fixed quote
  • Priced on outcome, not hours
  • You own all the code

Care

Monthly retainer

Ongoing

An optional retainer for the Run phase: monitoring, fixes when sources change, and ongoing development. Scoped to your needs and adjustable as they grow.

  • Keeps automations from rotting
  • Predictable monthly cost
  • Cancel or pause anytime

What drives the cost

The same request can be a two-day job or a two-month system.

These are the factors that move a quote. The audit exists to pin them down for your specific case, so the number is real and accountable.

Scope and complexity

A one-off script is a different animal from a system that runs every day with many branches and exceptions. The audit pins this down precisely.

Data difficulty

Public, well-structured data is cheap to work with. Logins, anti-bot defences, messy formats, and reconciliation across sources add real engineering.

Scale and frequency

A hundred records once is not a million records daily. Volume changes the architecture, the infrastructure, and the cost of keeping it reliable.

Integrations

Connecting to tools with ready-made APIs is straightforward. Building a connector where none exists, or syncing two systems two ways, is more involved.

How much you want to own

A quick no-code automation costs less than a fully tested, monitored, documented production system. Both are valid; the right level depends on what it is worth to you.

Ongoing care

A build you maintain yourself is cheaper than one I keep healthy on a retainer. For scrapers that depend on external sites, the retainer usually pays for itself.

FAQ

Pricing, answered plainly.

Why don't you just list fixed prices?
Because an honest price depends on the problem, and the same headline request can be a two-day job or a two-month system. Quoting a number before understanding the scope would either overcharge simple work or under-scope hard work. The fixed-price audit exists precisely to turn your specific problem into a real, accountable number, fast and cheaply.
How do you price, if not by the hour?
For the outcome and the saving it creates, not the minutes clicked. If an automation saves a person two days a month, that is the value, regardless of how long it took me to build with modern tooling. Outcome pricing keeps incentives aligned: I am paid to ship something that works, not to be slow.
What is the smallest way to start?
The audit. It is a small fixed fee and gives you a concrete plan you can act on, with or without me. From there, the pilot is the next low-risk step: a working piece on your real data before any large commitment.
Is the retainer mandatory?
No. It is optional and you can pause or cancel anytime. That said, for anything that depends on external sources, like scrapers, a small retainer is strongly recommended, because those sources change and an unmaintained scraper quietly breaks.
Will I be locked into your tools or platform?
No. You own the source code, the infrastructure config, and the documentation. There is no proprietary platform to keep paying for. If you ever want to take it in-house, you can.
Do you work fixed-scope or ongoing?
Both. A one-off deployment with a fixed quote, or an ongoing relationship through the Run phase. Many clients start with a fixed-scope build and move to a retainer once it is live and proving its worth.

Get a real number for your project.

Start with the audit, or just tell me what you have in mind.

Let's talk