What kinds of AI features do you build?
Typical work includes support chatbots, internal assistants, document question-and-answer, content drafts, and workflow steps that call a model API.
Services
AI Agents and LLM Integration
We add chatbots, assistants, and workflow automation to products you already run, with human handoff where a model should not act alone.
Core Capabilities
The work included in this service, from the first release through the updates that follow.
OpenAI integration
AI chatbots
AI assistants
Workflow automation
AI content generation
Document processing
AI-powered applications
Our Tech Stack
Tools we use on this type of project. The exact set depends on what you already run.
- OpenAI APIs
- LLM tool calling
- Node.js
- Next.js
- Firebase
- Document pipelines
Development Process
A short sequence we follow so scope, build, and launch stay visible.
Step 1
Use-case fit
We pick tasks a model can do reliably and mark the ones that still need a person to approve.
Step 2
Context and tools
The assistant gets only the documents, APIs, and actions it should see, with limits written down.
Step 3
Product integration
The feature is built into the web or mobile flow people already use, not as a separate demo.
Step 4
Review and cost control
We add logging, human handoff, and usage visibility so quality and spend stay observable after launch.
Frequently Asked Questions
Can AI be added to an existing product?
Yes. We integrate model APIs into the app and backend you already have, instead of asking you to adopt a separate AI product.
How do you keep automated actions in check?
High-impact actions can require human approval. We also log prompts and outcomes so you can see what the system did.
How do we start an AI project?
Book a free consultation and describe the workflow you want to change. We will say whether a model is a good fit and what the first version should include.
Start a ai solutions project
Tell us about your users, timeline, and constraints. We will reply with a practical scope and the next step.