Will AI workflows actually work reliably in production?

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.

What does TechKis do?

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

How do you price projects?

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.

Is TechKis a new company?

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.

Do you have client case studies yet?

Not under the TechKis name yet — we're a new studio looking for the founding clients we'll write our first case studies with. Our founders bring senior engineering experience from prior roles at product startups, which is the credibility we lead with today.

How does an engagement start?

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.

Do you work with existing in-house teams?

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.

What is the typical project timeline?

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

Do you offer ongoing support after launch?

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

Insights

Field reports from the TechKis team.

Engineering notes, architecture deep-dives and honest takes on what we’re learning while shipping AI-first software.

Top highlights

22 May 20268 min read·Google I/OGeminiAI Engineering
Google I/O 2026 — what stood out to our team
Our take on the Google I/O 2026 announcements that actually matter for shipping AI-first software in production — Gemini, Android, web platform and developer tooling.
Read post

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1 post

22 May 20268 min read·Google I/OGeminiAI Engineering
Google I/O 2026 — what stood out to our team
Our take on the Google I/O 2026 announcements that actually matter for shipping AI-first software in production — Gemini, Android, web platform and developer tooling.
Read post

Field reports from the TechKis team.

Top highlights

Google I/O 2026 — what stood out to our team

All posts

Google I/O 2026 — what stood out to our team