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How to find a reference build for a customer workflow with Awesome Fde Resources

Locate a working example in the Cases section that matches a customer's AI use case.

Authorization notice. Awesome Fde Resources is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forAn FDE scoping a new AI workflow who needs a proven starting point instead of a blank repo.

The problemBuilding from scratch slows discovery and delivery when a similar system already exists.

The outcomeOne or two reference projects linked to the customer use case, with notes on what to reuse.

What you need first

  • A web browser and GitHub access
  • A target customer workflow or AI system to focus on
  • Setup for each linked tool, which the README does not describe

Steps

  1. Open the Cases and reference implementations section.
  2. Match the customer domain to an entry, such as the enterprise notebooks for marketing, pricing, supply chain, or manufacturing.
  3. Open the candidate repo and check its license and recent activity.
  4. Note which parts to reuse and which parts to rewrite.

Prompt for your agent

Read the Cases and reference implementations section of global-fde/awesome-fde-resources and pick the two entries closest to a <customer use case>. Output a table with project name, link, fit, and reuse notes. Verify the license stated in each linked project before recommending it.

Caveat. Linked projects remain under their owners' licenses, so reuse rights must be checked in each project.

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Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page