Custom GPT and AI Assistant Development

What is a custom GPT or assistant in this context?

It's a conversational solution configured with instructions, knowledge, flows, limits and specific objectives to support a business task.

What cases is it useful for?

Sales support, internal support, document advisory, training, proposal generation, policy queries, client intake and process support.

What's the difference between a simple GPT and a professional one?

A professional one requires an instruction architecture, a document base, testing, response limits, quality criteria, security and maintenance.

Can it connect to company documents?

Yes, as long as the scope, permissions and document source are defined. For advanced needs it can evolve toward RAG or integrations.

Can it connect to APIs or external tools?

Yes, if the platform allows it and there's technical feasibility. Integrations are quoted and documented separately.

What does jsadsAI deliver?

Assistant design, the master prompt, instructions, knowledge structure, use cases, testing, a usage guide and improvement recommendations.

What does the client need to provide?

The assistant's goal, source documents, FAQs, desired tone, restrictions, examples of good answers, and validation owners.

How is it controlled so it doesn't make up answers?

With instructions, verifiable sources, scope limits, uncertainty messages, testing and review of critical cases.

Can it be used to sell more?

Yes. It can qualify leads, explain services, answer objections, prepare proposals and speed up sales support.

Does it require maintenance?

Yes. Every serious assistant needs to update knowledge, review answers, measure usage and adjust instructions based on results.