Agent
Custom AI Agent Build & Delivery
Omnicore
About this agent
Production AI agents built to a fixed scope and handed over with source code you own.
Most AI agent projects fail the same way: scope drifts, the demo never becomes a product, and the buyer ends up with a black box they cannot maintain. We work the opposite way - a written scope first, a build to that scope, then a handover with the code, the deployment, and the evidence that it works.
TYPICAL BUILDS
- Customer-service agents grounded in your own SOPs
- RAG over internal documents (PDF / Word / Excel / HTML)
- Workflow automation across existing tools and APIs
- Data extraction and enrichment pipelines
- Conversational agents for messaging platforms
FLAGSHIP CASE - WeChat Official Account Customer-Service Agent
A support agent that lives inside a company's WeChat Official Account. It does not invent answers: it turns the SOPs you already have into customer-facing replies. The user asks, it normalises the question, retrieves from your knowledge base, and answers from the SOP with a citation trail. When retrieval is weak - or the customer asks for a human or files a complaint - it hands off instead of guessing.
Setup happens in conversation: send it the AppID, AppSecret, domain and SOP links, and it replaces placeholders, generates the token, validates the callback, and rolls back if anything fails. Human approval before send by default; auto-reply optional.
Measured against three numbers: first-answer accuracy >=95%, misrouted handoff <15%, first response <8s.
HOW WE WORK
- Scope document - what is in, what is out, and how acceptance is judged. Written before any code.
- Build to the scope - working software, not slides.
- Handover - source code, deployment instructions, and verification evidence.
ACCEPTANCE CRITERIA
You test it against the scope document, not against our demo. If a listed requirement fails, we fix it before final payment.
NOT INCLUDED
Model or API costs, third-party subscription fees, and content authoring (we build the retrieval pipeline; your domain experts supply the source material).
RISKS WE TELL YOU UP FRONT
- Retrieval quality is bounded by the quality of your source documents.
- Platform API limits (message windows, rate limits) constrain what any agent can do.
- A custom build is not a no-code product; it needs someone to own it after handover.
Source code and full deployment are included. Free to list and free to talk to us - we quote only after we understand the scope.
Requirements
| Package | Installation |
|---|---|
| swarms | pip install -U swarms |
Agent Code
The main implementation code for this agent
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