Repetitive customer questions
Your team spends time answering the same questions, again and again.
Independent AI product studio
We build AI assistants for SMEs and business teams—answer customer questions, recommend products, and search company knowledge using your website, catalog, and documents.
Good AI starts with
a real business problem.
Built end-to-end, from the first
conversation to deployment.
01 — THE OPPORTUNITY
Start with the parts of work that repeat, slow people down, or make it hard to find the right answer.
Your team spends time answering the same questions, again and again.
Customers need help understanding which product or service fits.
Collect customer needs, budget, and intent before the first sales conversation.
Important answers are buried in websites, PDFs, SOPs, and FAQs.
02 — WHAT I BUILD
Practical tools your customers and team can actually use—built around your data, goals, and existing systems.
Help customers find the right product or service through natural conversation.
Retail · Distributors · B2B · Ecommerce
Answer repetitive customer questions using your approved business information.
Services · SaaS · Education · Support
Give your team source-backed answers from FAQs, SOPs, policies, and documents.
Operations · HR · Internal teams
Add AI capabilities to the products and workflows your team already uses.
Existing products · Custom workflows
03 — SELECTED WORK
Real, live AI products. Try them yourself and see what a focused assistant can do.

Help visitors find clinic services, locations, and doctor information from published sources, with grounded answers and a safe fallback when information is unavailable.
Public-information prototype. Confirm medical and service information through official channels.

Help shoppers shortlist laptops by needs and budget, compare options, and structure customer enquiries for sales follow-up.
Public catalog demo. Prices and stock are a snapshot, not real-time availability.
An AI chat app built with Next.js, Supabase, Drizzle, and Fastify.
Public recruiter demo. Open /demo to try the app.
Independent demos using public information. Not affiliated with Bidakara or AGRES.ID. Not client endorsements.
04 — HOW IT WORKS
A clear, collaborative path from figuring out what matters to launching a system that works.
Map the problem, customer flow, existing workflow, data, and success criteria.
Start with the useful information you already have: web, docs, catalogs, or APIs.
Build the AI workflow, interface, integrations, guardrails, and evaluation tests.
Launch as a standalone app, website assistant, dashboard, or workflow integration.
Use feedback and evaluation to refine knowledge, answers, UX, and reliability.
05 — UNDER THE HOOD
The assistant is designed around approved business information—not just generic model knowledge.
Your information stays at the center of the experience.
USEFUL ACTIONS
06 — A PLACE TO START
Project-based pricing in Indonesian rupiah. Start with a focused pilot; agree the scope and price before work begins.
A focused first assistant to prove the use case.
Includes
A sales or support assistant scoped to your business workflow.
Possible features
A tailored system integrated with your existing product or tools.
Suitable for
Project-based development, not a monthly subscription. Final scope and price are agreed before work starts. Hosting, model/API usage, maintenance, and third-party services may cost extra.
07 — A HANDS-ON PARTNER
Habib AI Labs is founder-led by Muhammad Habiibullah, an AI and full-stack engineer. You work directly with the person building your system.
↗ Full-stack engineering, not just prompts
↗ Custom systems instead of generic templates
↗ Real deployed AI projects to explore
↗ Thoughtful testing, guardrails, and handoff
08 — GOOD QUESTIONS
Not sure whether AI is the right fit? Here are a few useful things to know.
Ask a questionNo. Existing websites, FAQs, PDFs, catalogs, spreadsheets, and structured documents can often be used as starting sources.
Yes. Relevant content can be prepared and used as part of the AI knowledge base.
Yes. The assistant can be delivered as a standalone experience or integrated into your existing website, depending on the setup.
Yes, depending on the project scope and system architecture. Access and data permissions are considered during discovery.
No. AI systems are probabilistic. Good implementations use grounding, evaluation, guardrails, citations, and human escalation where necessary.
Yes. Starting with a focused pilot is usually recommended before expanding to a larger production system.
Development can be project-based. Hosting, model/API usage, maintenance, analytics, and ongoing improvement may introduce recurring costs depending on the implementation.
LET’S MAKE SOMETHING USEFUL
Tell us what your customers repeatedly ask, what your team still does manually, or what information is difficult to access.
Describe the problem.
We’ll figure out what’s worth building.