Question 1

What's an example of a full-stack AI product you've built?

Accepted Answer

BotWhisperer (https://botwhisperer.in) - a SaaS platform where businesses create custom RAG-enabled chatbots. I designed, built, and deployed the full stack, including a custom retrieval pipeline, Pinecone, Next.js, and LLM API integration.

Question 2

Do you handle design as well?

Accepted Answer

I ship clean, functional UI using Tailwind and modern component libraries. For brand-heavy design, I collaborate with designers or can recommend partners.

Question 3

How long does it take to build an AI SaaS MVP?

Accepted Answer

A focused MVP with core AI feature, auth, and billing typically takes 6–10 weeks on average. Simpler single-feature products can ship in 4–6 weeks on average. Timeline depends on AI complexity and integration requirements.

Question 4

Do you handle DevOps and deployment?

Accepted Answer

Yes. Every project includes CI/CD, staging environments, monitoring, and production deployment on GCP, AWS, Azure, or your existing infrastructure. I set up error tracking, logging, and uptime alerts before handoff.

Question 5

Can you work alongside our existing engineering team?

Accepted Answer

Yes. I integrate via PRs to your repo, weekly meetings, and shared Slack channels for async communication. I document architecture decisions so your team can maintain and extend the system after I roll off.

Question 6

Do you build multi-tenant SaaS with auth and billing?

Accepted Answer

Yes. I've built multi-tenant AI SaaS with auth, billing, admin dashboards, and per-tenant data isolation - the full stack needed to launch and monetize.

Question 7

How much does this cost for a startup?

Accepted Answer

I offer two options: hourly work at $40 - $65/hr depending on the complexity of your requirements, or a custom fixed-price quote after a free discovery call. The quote option is best when you have a defined scope and want a single number upfront.

Question 8

Do you sign NDAs and work with confidential data?

Accepted Answer

Yes. I routinely sign NDAs before reviewing proprietary code or data. Your documents, API keys, and business logic stay confidential. I can work within your existing security policies and VPC if required.

Question 9

How do we communicate during the project?

Accepted Answer

Weekly video demos plus async updates on Slack or email. You see working software every week, not status reports. I'm responsive across time zones - I've delivered for clients in 15+ countries.

Question 10

What is your payment structure?

Accepted Answer

For custom quotes: typically 30% upfront, 40% at midpoint, 30% on delivery. Hourly work is billed weekly or biweekly based on hours logged. Payments via bank transfer, PayPal, or platform escrow (Upwork/Fiverr) if you prefer.

Question 11

Do you provide post-launch support?

Accepted Answer

Yes. Every project includes a handoff period with documentation and knowledge transfer. Optional maintenance retainers cover bug fixes, model updates, and feature iterations after launch.

Question 12

Why hire a freelance AI engineer vs an agency?

Accepted Answer

You work directly with the person building your system - no account managers or junior devs passed off as seniors. Faster iteration, lower overhead, and 6+ years of hands-on production AI experience including published research.

Full-Stack AI Products

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Pricing

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Full-Stack AI - common questions