D · Digital Products
AI Assets & Agents
AI assets you can put into production: agents, custom GPTs, prompt libraries, fine-tuned models, knowledge bases and content pipelines, each with its license and compatibility listed. Good listings name the underlying model and provider, the data used, what the buyer must host or pay for, and how output quality was evaluated; weak ones describe outcomes without showing any of that.
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Buyer guide
- Identify the base model, provider and API keys the asset depends on, and who pays the ongoing usage costs.
- Check the license of the asset and of any base model weights or datasets it was built on.
- Ask for sample inputs and outputs, or an evaluation method, rather than relying on descriptions of results.
- Confirm where data flows at runtime and that no personal data is bundled with the asset.
- Review the handover: code, configs, prompts, documentation and any hosting you must take over.
What to compare
- 01Base model and provider dependency
- 02License of asset and underlying weights
- 03Self-hosted vs hosted delivery
- 04Evaluation method and sample outputs
- 05Ongoing API and hosting costs
- 06Data sources and privacy handling
Use cases
- Automating research, reporting or content operations
- Adding a support or lead-qualification assistant
- Scaling creative and copy production with review steps
- Grounding an assistant in internal documentation
FAQ
Does buying an AI asset include the model it runs on?
Usually not. Most agents, GPTs and pipelines call a third-party model through your own account, so provider terms and usage costs stay with you; the Node Passport states which model and provider are required.
How can I judge output quality before buying?
Ask for representative sample outputs on inputs you choose, or for the evaluation set the seller used. Output quality varies with prompts, data and model version, so no listing can promise a specific result.
When should I hire AI development instead of buying an asset?
Buy an asset when your use case matches what it already does; commission development when you need custom integrations, private data handling or behavior the asset does not cover.