BLOCKCHAIN & AI

ChatGPT Applications Development

Build ChatGPT-powered applications that help people find information, draft content and complete defined tasks, with clear boundaries around knowledge, data and actions.

Overview

A useful conversational application needs more than a chat box and a model connection. We define what the assistant should help with, which sources it can use and when it should ask for clarification or hand over to a person. The experience is shaped around real tasks rather than open-ended conversation for its own sake.

For organisation-specific knowledge, we can connect approved content through retrieval workflows rather than assume the model already knows your business. Permissions, source freshness and answer evaluation are part of that design. Generated responses can still be incorrect, so applications should communicate limitations and reserve consequential decisions for appropriately authorised people.

What We Build

Internal knowledge assistants

Create searchable conversational interfaces over approved documents, with source references and access checks that reflect the permissions of the person asking the question.

Customer support copilots

Develop tools that suggest responses, retrieve policies and summarise cases for support teams, with escalation routes and review controls before messages are sent.

Task-focused conversational tools

Build guided drafting and workflow assistants that gather required inputs, produce structured outputs and request approval before permitted actions update connected business systems.

Key Features

Grounded response workflows

Retrieve relevant material, include useful citations and define fallback responses when evidence is missing, conflicting or outside the assistant’s agreed subject area.

Controlled tool access

Expose narrowly scoped functions rather than unrestricted system access, validating arguments and separating a model’s suggestion from permission to execute an action.

Conversation evaluation

Test real questions, misleading prompts and difficult follow-ups, monitoring answer usefulness, inappropriate disclosure, latency and running costs as the application evolves.

Our Process

1. Discovery

   Identify user groups, common questions, approved sources and prohibited actions, including which outcomes require human responsibility rather than automated judgement.

2. Design

   Map dialogue flows, retrieval architecture and handover behaviour, with source permissions, retention requirements and failure messages agreed early.

3. Development

   Implement model connections, document ingestion and product interfaces, adding tool integrations only where access and approval rules are defined.

4. Testing & Security Audit

   Evaluate grounded answers, prompt-injection scenarios, access boundaries and provider failures using representative tasks and documented acceptance criteria.

5. Launch & Support

   Release to a defined audience, review feedback and maintain source content, prompts and evaluations as requirements or model behaviour change.

Tech Stack

• OpenAI API
• Python
• FastAPI
• React
• PostgreSQL
• pgvector
• TypeScript

Frequently Asked Questions

Is this the same as a custom GPT inside ChatGPT?

Not necessarily. This service can deliver a standalone application using OpenAI APIs, with its own interface, authentication and integrations rather than relying on the ChatGPT product interface.

Can the assistant answer from our documents?

Yes, where content can be processed lawfully and access rules are clear. Retrieval can supply relevant passages, but citations and evaluation remain important because incorrect answers are still possible.

Will our information be used to train models?

Provider terms and account settings must be checked for the selected service. We document intended data handling and retention instead of assuming all products follow identical policies.

Can the assistant act inside our software?

Yes, within explicitly approved integrations. Sensitive actions should require validation and, where appropriate, human confirmation; a conversational request alone should not bypass business permissions.