AI app development
A complete AI product, not a prompt wrapped in a page.
I build AI applications and agent workflows that use your data, call real business tools and show their work. Each build includes the product, secure backend, human controls, evaluation and operating view needed to use it beyond a demo.
AI app development combines a usable customer or team interface with secure data, model calls, business tools, evaluations and human controls. Good AI products do one valuable job reliably, log what happened and escalate uncertainty instead of pretending every answer is correct.
Understand
The app receives a clear request and the relevant business context.
Retrieve
It finds approved information rather than relying on memory alone.
Act
A bounded agent can call permitted tools to complete the task.
Check
Rules and evaluations test the result before it is trusted.
Escalate
Uncertain or sensitive work goes to a person.
This is for you if
- ·You have a repetitive decision or information workflow that AI could compress
- ·A chatbot demo exists but cannot safely act in your real systems
- ·Your product needs search, extraction, support, qualification or an internal copilot
What we build together
- ·Use-case and risk definition tied to one measurable outcome
- ·Customer or internal interface, authentication and data layer
- ·Model workflow with tools, retrieval, guardrails and escalation
- ·Evaluation examples and regression checks
- ·Usage, cost and failure monitoring
- ·A production release your team owns
An AI application that performs a real job and can be measured, reviewed and improved.
The Launch Readiness Scan combines deterministic checks with a bounded AI read. KomelKaur.com's assistant uses approved public knowledge and safe actions without access to private client data.
Prove the workflow first.
- · One use case
- · Approved data
- · Read-only tools
- · Evaluation set
- · Human review
Expand from evidence.
- · Write actions
- · More data sources
- · More agent roles
- · Higher automation
- · Advanced monitoring
Common questions
How much does an AI app cost to build?+
Cost depends more on data, integrations, testing and failure risk than on the model itself. I scope one production use case first and price the build around that.
What is the difference between an AI app and a chatbot?+
A chatbot returns text. An AI app combines the model with your data, user accounts, tools, workflow, controls and a measurable business outcome.
Can an AI agent update our CRM or book appointments?+
Yes, but write access should be bounded. I start with approved actions, clear logs and human confirmation where a mistake would be expensive or sensitive.
Which model will the app use?+
That depends on the job, privacy needs, quality and operating cost. The system should keep the model choice replaceable rather than making the whole product depend on one provider.