Question 1

Will AI workflows actually work reliably in production?

Accepted Answer

Yes, with the right approach: tight scope, evals before launch, human-in-the-loop on anything irreversible, fallbacks for model failures, and observability so you see drift before customers do. That's the bar we hold ourselves to.

Question 2

What does TechKis do?

Accepted Answer

We build end-to-end platforms and implement AI in your workflows.

Question 3

How do you price projects?

Accepted Answer

We tailor pricing to scope on a 30-minute discovery call rather than publishing rate cards online. Send us the brief and we'll come back with a written, fixed-or-time-boxed proposal within 48 hours — including a founder-friendly offer for our first 2–3 founding clients.

Question 4

Is TechKis a new company?

Accepted Answer

Yes — we're a brand-new studio actively looking for our first founding clients. Our founders are senior engineers who've been building with LLMs since GPT-3, with prior experience at product startups. We're offering founder-friendly terms on our first 2–3 engagements while we build our portfolio — happy to discuss details on a scoping call.

Question 5

Do you have client case studies yet?

Accepted Answer

Yes — our first founding client is Puratan Ayurveda, an Ayurvedic e-commerce brand we took from marketplace-only to a fully owned online store. We're actively booking our next 1–2 founding clients.

Question 6

How does an engagement start?

Accepted Answer

We hop on a 30-minute scoping call, then send a written proposal with scope, milestones, deliverables, evaluation plan and a fixed or time-boxed estimate within 48 hours.

Question 7

Do you work with existing in-house teams?

Accepted Answer

Absolutely. We plug into your Git, Slack, Linear/Jira and CI workflows, pair with your engineers, and try to leave them more capable than we found them — especially on AI tooling and evals.

Question 8

What is the typical project timeline?

Accepted Answer

Most engagements run 4–12 weeks. We work in weekly sprints with a public changelog so you always know where things stand.

Question 9

Do you offer ongoing support after launch?

Accepted Answer

Yes — flat-rate monthly retainers for maintenance, eval monitoring, model upgrades and incremental feature work once the initial delivery is live.

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