Gongqixin’s official website has set up an entrance to AI large model project development, introducing directions such as knowledge base Q&A, intelligent customer service and business tool connections. Before consulting, clarify the problem you want to solve, the available data and the scope of operation, which will help to discuss applicable solutions.

Service direction

Can discuss enterprise knowledge base, search enhanced question and answer, agent orchestration, model access and business tool integration. The project first needs to clearly define what type of work problem it will solve, and which data and operations are authorized for use.

Business boundary

Knowledge questions and answers and execution of business actions should be designed separately. Data sources, user permissions and tool parameters need to be checked, and model output cannot be directly regarded as final facts or real execution results.

Effectiveness evaluation

You can check answers, references and operating behaviors through business samples, and record the differences after changes to the model or data. AI capabilities should be verified around specific scenarios, and uniform effects that apply to all problems should not be promoted.

Scenario Check

When consulting on AI projects, you can prepare typical questions you want to answer, usable materials, and business tools that are allowed to be called. Whether the information is complete and whether the permissions are clear often affects the solution discussion more than the complexity of the demonstration interface.

Specific verification methods

Prepare typical questions and check whether there is allowed data; business tools describe readability and executability; samples include scenarios with insufficient data; clear confirmation rules when actions such as order modification are involved, and effect discussions are based on checkable results, rather than just evaluating whether the demo interface is beautiful.

The AI ​​project starts with data, permissions and business processes. Typical questions can be communicated by phone or email, and subsequent discussions on retrieval, answers, and tool connection scope will be based on samples to avoid taking the demonstration effect as a complete business guarantee.