— CTO @ Prezentor · AI engineer Remote · Worldwide 20+ yrs shipping SaaS · Sales enablement

For builders who'd rather ship than learn the whole field

AI that gets
shipped ,
not just talked
about.

I'm Michael Shvets — CTO at Prezentor and a 20-year software engineer, putting AI into a sales-enablement SaaS that ships to real customers every day. I also take on a handful of solo founders and small teams to design, build, and quietly maintain LLM-powered products that actually pay for themselves.

Book a 15-min call → See recent work

~24h reply · No sales call to get a price

linear-resolve CRM-412

fetchLinear MCP
risk ×4api·rls·hotpath·deploy
approval gate← waiting on you
implementworktree
verifypytest·mypy·ruff·tsc
review ×3codex·opencode·gemini
merge → deploy → QA

Six human gates. Nothing merges or ships unseen.

— 01 / Services

What I actually do for you.

Four ways to work together. All of them start with a 15-minute call to confirm we're a fit — and to tell you honestly if we're not.

Strategy calls

One-hour deep dives. You bring the messy problem; I bring a battle-tested map and a written follow-up.

1 hrAsync recapStack-agnostic

Hands-on build

I work inside your repo across a few weeks — async, around a full-time role — and ship the AI feature your team can maintain after I leave.

3–8 wksAsyncCode + docs

Custom agents

Support agents, data extractors, ticket-to-PR dev pipelines. Scoped tightly, human-gated at every risky step, evaluated honestly, deployed to your stack.

Fixed priceEvals includedHuman-gated

Team training

A two-day intensive that turns your engineers into LLM-fluent operators. Less theory, more reps.

On-site2 daysCurriculum included

— 02 / Process

Boring, on purpose.

AI work fails the same way every time: ambiguous scope, no evals, vendor lock-in nobody noticed. This is the antidote.

Discovery call

Fifteen minutes. We figure out if the problem you described is actually the problem you have.

Week 0 · Free

Written proposal

A one-page scope: what we ship, what we don't, the price, and the risks I see. No surprises.

Week 0–1

Build sprint

I'm in your Slack and your repo, working in focused blocks around a full-time role. Progress notes every few days, end-of-week demos. You stay in the loop without managing me.

Week 1–8

Handover

Documented code, an eval harness your team can run, and a 30-day follow-up so it doesn't rot the moment I leave.

Final week + 30d

— 03 / Selected work

Things I've shipped recently.

Names removed because most clients prefer it that way. Happy to share references on the call.

Series A · Fintech

Cut their LLM bill by 71% without losing accuracy.

A growth-stage fintech was bleeding $18k/month on a single GPT-4 endpoint. We rebuilt the eval harness, routed 80% of traffic to smaller models, and kept the top-line accuracy within 1.5 points.

−71%

monthly spend

1.5pt

accuracy delta

3 wks

to ship

Small SaaS · Product validation

Killed the features customers wouldn't use — before a line of code.

A small SaaS was shipping on gut feel: fat roadmaps, lukewarm uptake. I set up an agentic validation loop that stress-tests every feature idea from multiple angles — user, market, build cost — before anyone opens an editor. They now ship thinner slices that customers actually adopt.

−37%

scope shipped

+62%

adoption rate

pre-code

validation gate

10-person team · Health

Built an agent that closed 4 hires worth of work.

A clinical-ops team was drowning in intake forms. We deployed a focused agent with strict evals and a human-in-the-loop checkpoint. It now handles 70% of intake autonomously.

70%

auto-handled

4 FTEs

of work absorbed

6 wks

incl. evals

B2B CRM · Eng automation

Turned Linear tickets into reviewed, deployed PRs — hands on the wheel.

A CRM team wanted AI to clear their backlog without it going rogue. I built a 13-phase pipeline on Claude Code: parallel risk analysis, three independent AI reviewers cross-checking every change, and six human approval gates so nothing merges or ships without a sign-off.

7→25

tickets / week

human gates

3×

AI cross-review

— 04 / Engagements

Three ways in.

Plain prices, no sales calls to find them. Discounts available for pre-revenue founders and non-profits — just ask.

The call

from $450

A focused hour for one specific decision. Best when you know what you're stuck on.

60-minute strategy call
Written recap within 48 hours
Two weeks of async follow-up
No prep deck required

Book a call →

Most picked

The build

from $12k

A fixed-scope sprint to ship one well-defined AI feature, end to end, with your team alongside.

3–8 week async sprint
Production code in your repo
Eval harness + docs handover
Weekly demos & async standups
30-day post-launch support

Start a project →

The retainer

from $6k

A few hours every week for teams that need senior AI judgment on tap without hiring full-time.

~8 hours/week, async-first
Slack + 1:1 each week
Code review on AI surfaces
Roadmap & hiring guidance
Month-to-month, cancel anytime

Inquire →

— 05 / FAQ

Questions people ask.

Didn't see yours? Send a one-line email. I read everything and reply within a day.

Who is this actually for?

Solo developers, founders, and small teams (think 2–20 people) who want to ship something real with LLMs without learning the whole field first. If you're a 500-person enterprise looking for a procurement-friendly vendor, I'm probably not your person.

What if my problem isn't really an AI problem?

Half the time it isn't. That's the kind of thing we figure out on the discovery call. If a Postgres query and a cron job will solve it, I'll tell you and refund your call fee.

Do you write code, or just advise?

Both. Strategy calls are advisory. Build engagements mean I'm in your repo writing TypeScript or Python alongside your team. I have strong opinions about boring code.

What models and stacks do you work with?

Mostly Claude, GPT, and open-weight models via vLLM or Bedrock. Comfortable with LangChain when it's the right answer and comfortable ripping it out when it isn't. I avoid frameworks that hide the prompts from you.

Can you sign an NDA?

Yes, before the discovery call. Standard mutual NDA, takes about an hour to turn around.

What if it doesn't work out?

Build engagements are milestone-based and you can stop after any milestone. The retainer is month-to-month. The strategy call has a no-questions refund.

AI that gets shipped , not just talked about.