Stop starting from scratch with AI. I’ll build you an AI assistant that already knows your business.
Generic AI tools are powerful, but they still make you do the hard part: explain the context, open the right tools, remember what changed, and turn answers into action. I build custom AI assistants that understand your projects, work with your existing software, and help with the repetitive operating work that normally sits in your head.
First builds are usually scoped as a focused 2–4 week setup. The goal is not to automate your whole business overnight. The goal is to build one useful assistant that makes day-to-day work noticeably easier.
"Thaha quickly understood my complex needs and built a system that exceeded expectations."
— Esther Mander, VIP Pet Travel
The assistant gives you back operating bandwidth.
The real value is not the feature list. It is how running the business feels once the assistant can remember, check, draft, remind, and report for you.
How work changes after you have one.
Before: you open five systems to answer one question
After: you ask the assistant and it checks the right business context, tools, files, and records.
Before: ChatGPT needs the same background every time
After: your assistant already knows the projects, decisions, people, services, and operating rules that matter.
Before: follow-up depends on memory
After: the assistant can monitor recurring loops and remind you when something needs attention.
Before: weekly reviews start with manual data hunting
After: the assistant can check analytics, search data, tasks, or records and prepare the summary first.
Before: notes sit unused after the conversation ends
After: the assistant can turn them into actions, drafts, journal entries, content ideas, or updates.
Before: every tool is another place to check
After: your assistant becomes the front door for asking what is happening across the business.
Why not just use ChatGPT?
Powerful, but general-purpose.
Built around your business.
What you actually receive in the first 2–4 weeks.
You are not buying access to my AI. You are buying a bespoke assistant built for your business.
The first sprint is designed to make the assistant useful quickly without pretending a $2k build can automate every part of the company.
A focused assistant build with clear scope, tool access, ownership, handover, and support.
A typical first sprint includes
I use mine every day.
This offer comes from a real working assistant, not a theoretical AI demo. Mine helps me run NisaBMS, manage business memory, operate website workflows, review analytics, and turn work into useful follow-through.
Knows my business
Answers questions about projects, finds information across business records, and remembers previous conversations and decisions.
Works with my software
Checks Airtable and InfoLobby data, runs parts of the website workflow, monitors analytics, and works through approved APIs.
Works proactively
Reviews Google Analytics every Monday, finds keyword opportunities from Search Console, drafts landing page ideas, keeps a work journal, and reminds me about important tasks.
Keeps improving
Prompts, skills, notes, files, and workflows can be version-controlled and improved as the business changes.
Your assistant. Your models. Your data.
Bespoke build, not rented access
Unlike SaaS AI tools, the assistant is deployed specifically for your business and workflows.
Your model choice
Use OpenAI, Claude, Gemini, local models, or other supported providers depending on cost, quality, and preference.
Your low-cost server
The assistant can run 24/7 on your own VPS, often around the cost of a small hosting plan.
Your preferred interface
Use Telegram, WhatsApp, Slack, Discord, browser access, or another practical interface.
Your existing software
The assistant connects to approved tools and APIs instead of forcing you into a new platform.
Your version-controlled knowledge
Prompts, knowledge, files, and operating rules can live in your GitHub repository so the assistant is portable and improvable.
Built on proven open technologies.
For business owners, the product is the assistant. For technical stakeholders, the stack is intentionally practical, portable, and built from proven pieces.
The exact architecture depends on your business, tools, model preference, permissions, and budget.
Good fit if you want a practical assistant for real operating work.
Not a fit if you want AI theatre or full autopilot.
What happens after you say yes.
Discovery workshop
We map how you run the business, where work gets lost, which tools matter, and what the assistant should handle first.
Assistant scope
We choose the first operating loop and define the assistant’s access, jobs, rules, and success criteria.
Build and connect
I deploy the assistant, add business context, configure the model, connect approved tools, and set up the first routines.
Real testing
We test real questions, records, reminders, scheduled jobs, and drafts until the assistant is useful in daily work.
Handover and support
You get documentation, a handover session, and two weeks of support for fixes, adjustments, and small improvements.
Questions before building your assistant.
Is this just ChatGPT with prompts?
No. Chat may be one interface, but the value is the custom assistant setup: business context, tool access, scheduled jobs, permissions, and workflows built around your business.
Will it run my business for me?
No. It helps with day-to-day operating work, reminders, reporting, drafting, searching, and repetitive tasks. Important decisions should stay with you or your team.
What do I receive?
A deployed assistant, connected context, agreed integrations or data access, scheduled routines, documentation, handover, and support.
Do I own it?
Yes. This is a bespoke build for your business, not a subscription to my assistant. The intended setup is portable and version-controlled where practical.
Can it use my existing software?
Yes, if the software has an API or a practical integration path. Access can be read-only, approval-based, or limited to specific actions.
What can be built for $1,500–$2,000?
A focused first assistant: messaging access, business context, one or two integrations, one or two proactive routines, testing, documentation, handover, and two weeks of support.
Stop making AI start from zero every time.
Bring the tools you use, the recurring work you wish someone would keep on top of, and the places where business context gets lost. I’ll help decide what your assistant should know, what it should connect to, and what first version is worth building.