E-Commerce Agent Layer Build
Budget: $5,000 – $10,000 USD
I’m building WiintaOS, a text-first operating system where autonomous agents handle every step of online shopping. The immediate milestone is the agent layer itself. I need it to:
• Parse conversational input to understand buyer intent
• Compare catalog items, surface relevant alternatives, and craft clear recommendations in natural language
• Orchestrate checkout flows by triggering the right merchant APIs once a user decides to buy
The catalog it works against will arrive as clean, structured data, so concentrate on ingesting JSON/CSV feeds quickly and mapping attributes for search, ranking, and price comparison. A minimal dark-mode playground must run the agent in real time so I can test queries end-to-end and iterate on tone or prompts without redeploying.
Once the core layer is stable, we’ll expand into merchant dashboards (catalogue, campaign, tone controls) and deeper simulation tooling, so design the codebase with extensions in mind.
If you have shipped production-grade LLM pipelines, product-matching engines, or one-shot checkout integrations, let’s talk.
• Parse conversational input to understand buyer intent
• Compare catalog items, surface relevant alternatives, and craft clear recommendations in natural language
• Orchestrate checkout flows by triggering the right merchant APIs once a user decides to buy
The catalog it works against will arrive as clean, structured data, so concentrate on ingesting JSON/CSV feeds quickly and mapping attributes for search, ranking, and price comparison. A minimal dark-mode playground must run the agent in real time so I can test queries end-to-end and iterate on tone or prompts without redeploying.
Once the core layer is stable, we’ll expand into merchant dashboards (catalogue, campaign, tone controls) and deeper simulation tooling, so design the codebase with extensions in mind.
If you have shipped production-grade LLM pipelines, product-matching engines, or one-shot checkout integrations, let’s talk.