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Add one AI feature or agent to your product, at a fixed price

You know where AI would save time in your product or your team’s day, but nobody has had the time to build it properly. One feature or agent is specified with you, built on the model API you choose, and tested against your own examples so you can see how well it works before anyone relies on it.

Pay $2,500 & start

$2,500 fixed price, 10 business days after the one-page spec is agreed. You pay your model provider directly for usage.

No call needed. Questions go to contact@app369.com; we reply by email, usually within one business day.

This fits when

  • Your team copies text between tools and rewrites it by hand
  • Support or sales replies follow patterns an assistant could draft
  • You need structured data pulled out of emails, PDFs or forms
  • You want an agent that can take actions through your own API, with limits
  • A demo works, but nobody has measured how often it gets things right
Offer 09

AI Feature or Agent Build

One LLM feature or agent wired into your app or internal tools, such as a reply drafter, a document extractor or an agent that calls your API, with an eval set so you can see how well it works before you ship it.

$2,500
fixed price, 10 business days

You get

  • A one-page spec you approve first: the task, inputs, outputs, the tools it may call and how success is measured
  • One feature or agent built on the Claude or Gemini API, or another model API you already use, on your own provider account
  • Tool access limited to the actions you approve, with write actions gated
  • An eval set of up to 50 cases from your examples, with a scored run before handover
  • Logging of prompts, tool calls and token cost
  • A pull request with a README and handover notes
  • One revision round

Not included

  • Training or fine-tuning models
  • A guaranteed accuracy score
  • A second feature or agent (quoted separately)
  • Model usage costs, which you pay your provider directly

Delivery

10 business days after the spec is agreed and repo access and test keys arrive.

Simon builds Workspace369’s AI features and MCP server, and has published open-source reference code for agent reliability testing.

Pay $2,500 & start

Not sure it fits? Email a question about this offer; we reply by email, usually within one business day.

How it works

  1. Step 1

    Agree the spec

    A one-page spec: the task, the inputs and outputs, the tools it may call, and how success is measured. Nothing is built until you approve it.

  2. Step 2

    Build the eval set

    Up to 50 test cases from your real examples (with personal data removed), so quality is measured, not guessed.

  3. Step 3

    Build and wire it in

    The feature or agent goes into your codebase on your provider account, with write actions gated and every prompt, tool call and token cost logged.

  4. Step 4

    Score and hand over

    A scored eval run, a pull request, a README and notes on how to extend it.

Questions before you pay

Which model do you use?
The one that fits your task and budget, usually Claude or Gemini, or a provider you already use, through your own account. The eval set lets you compare models later without rebuilding.
Can you guarantee accuracy?
No. Language models make mistakes. You get a measured score on your own examples, and risky actions are gated so a person approves them.
Will my data be used to train models?
The work runs on your own API account, so your provider’s data-use terms apply. You choose the provider and plan, and the spec lists exactly what data the feature sends.
Do I need a call before I pay?
No. The scope, price and delivery time are on this page, and everything happens in writing. If you want to talk live, calls cost $100 per 15 minutes, paid upfront.
Who owns what you deliver?
You do. The code, videos and files delivered under this offer belong to you once paid.

Ready to start?

Pay online and send what the work needs by replying to the Stripe receipt. Simon, who builds and runs the SaaS Workspace369, does the work himself.

Pay $2,500 & start

Further reading

Other fixed-price offers

Fixed scope, fixed price, paid upfront. The work happens in writing; no call needed.