Your competitor
shipped AI.
Where's yours?
I embed with founder-led B2B SaaS and ship the AI feature into your product in 4-8 weeks - built to still be working in 6 months, with evals in CI and a handoff your own team runs.
Video Testimonial
"You were directly pointing to the issue that I experienced." - Ove André Remme, Founder, Terapivakten
The Problem
Sound familiar?
"When will you have this?" A prospect saw a competitor's AI feature and asked you on a sales call. You bought some time. It keeps coming up.
The roadmap slot keeps slipping. The AI feature has been "next quarter" for two quarters. Your devs are strong on your product, also production AI is a different discipline none of them have shipped before.
You tried, and it stalled. Someone wired up an LLM API and the demo impressed everyone. Then edge cases, weird outputs, surprise API bills - and it quietly stopped coming up in standups.
Hiring doesn't add up. A senior AI engineer runs $180k+ and takes months to find - for what's realistically 10-15 hours a week of specialist work.
You can't see adoption. Even when an AI feature ships, you can't tell who actually uses it, so the renewal conversation runs on vibes instead of numbers.
The fear underneath. An AI feature that hallucinates in front of a paying customer is worse than no AI feature at all. You're right to fear that, also it's a solvable engineering problem most vendors just skip.
If a couple of these sound familiar, let's talk.
The Difference
Why the feature still works in 6 months
Evals in CI from week one. Every failure I find becomes an automated test that reproduces it, so the pipeline catches regressions before your customers do. Also this is what lets your team change things later without breaking them.
Write-access gets earned step by step. The agent starts read-only. Its first writes go somewhere low-stakes. Anything touching money or a customer keeps a human in the loop until the numbers earn the trust to take that step away.
Cost that holds up at scale. A lot of AI features look cheap in the demo and blow up the bill at rollout. I plan for real traffic from day one - on my current client's pipeline I reworked it at 10x the scale and it came out faster and cheaper than before.
A handoff your team owns. Docs, recorded training, and the eval suite, so your team can run and extend the feature without me. When clients come back, it's for the next thing they want to build.
How It Works
Fixed scope. Three phases.
Phase 1
Design
Week 1
I read your codebase, talk to your team, and write the spec - architecture, which models, cost at your scale, and the eval plan. You get a document you could hand to any engineer, whether we keep working together or not.
Phase 2
Build & prove
Weeks 2-6
I build the feature inside your codebase, with evals running in CI and a staged rollout so it meets real users carefully. You watch it work on real traffic before it's in front of everyone.
Phase 3
Handoff
Final week
Your team gets recorded training, full docs, and the eval suite - so new engineers can watch it later. Before/after numbers so you see what changed. You keep running it without me.
The typical path
Who This Is For
This works best for:
You hit product-market fit before the AI wave.
Now your customers want AI in the product.
You need it built right, also maintained by your own team after I'm gone.
Not another vendor you're stuck depending on.
Options
What you're actually choosing between
A full-time senior AI hire. The right call at scale. At your size it's $180k+ and months of searching for what's really part-time AI work. I'm the same seniority, fractionally, starting in weeks.
A dev agency. Fine for volume builds. The senior who pitched you usually hands the work to a junior once you sign, and hourly billing quietly rewards them for taking longer. You'd work with me directly the whole time - one senior engineer, start to finish.
A cheap "AI developer". Can get you a demo, no problem. The demo is the easy part. What breaks in production is the part you're actually paying a senior for.
Your own devs. They should own this eventually, and that's the whole plan. I set up the evals, docs, and training so they can extend it on their own. I just get them there faster than they'd get there from scratch.
About
I'm Vlad, a senior AI engineer with 6+ years in IT. For 2+ of those years I was on the core team at Sellify AI - one of its first technical hires, working directly with the co-founder. Sellify is a vertical SaaS selling outcome-priced AI sales and customer-support agents to US pest control operators, some of them PCT-100 companies.
I built product features competitors announced but never managed to ship, plus the legacy-CRM integration that became Sellify's moat - the same work that closed multi-six-figure clients. Through the platform, Ninefold brought in $620k in new sales and 1,100 new accounts, HomeTeam added $1M+ in new revenue in a single month, and at Enviroguard the AI agent sold 769 accounts in a year, roughly twice the top human rep.
Sellify's founder and CEO Thomas K. Lundberg - co-owner of Fox Pest before its $350M exit to Rollins - left me a testimonial.
For the past 1.5+ years I've also been the contract senior AI engineer for a recruitment-AI SaaS, working directly with the founder. I own the agentic architecture end to end and operationalized every project with an evals system, so their internal team ships and extends it without firefighting - and without needing me.
Testimonials
What clients say
"If you would like a really responsible, serious, experienced guy, which is service minded, kind and polite... you will go for Vlad." - Ove André Remme
"Your patience... You were always communicative... You streamlined the whole process... Focused on solution rather than all the problems." - Ove André Remme
"Vlad has been incredible to work with. Very sharp and understands the intricacies and needs of our company. Have trusted him with important tasks, and he's always been able to get creative and deliver."
Source: LinkedIn"I've worked with Vlad for almost 2 years on Sellify AI and he did an outstanding job. Vlad knows his craft well and was able to handle complex engineering tasks independently. He is quick to learn new things and adapts fast when requirements change (and in startups, they almost always change). I'm glad we had him on the team!"
Source: LinkedIn"Vlad saw what I was trying to create before I'd even fully explained it. He just got it. If you're looking for someone who understands AI and applies it practically, without wasting time - he's the one."
Source: LinkedIn"Exceptional! Very happy with the result, highly recommend."
Source: Upwork"Hired Vladyslav to assist with creating and embedding a custom GPT on to our wordpress website. Easy to work with, prompt communication and skilled in his area of expertise."
Source: Upwork"Vladyslav went above and beyond!"
Source: Upwork"Looks good. Amazing work!"
Source: GitHubWriting
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FAQ
Common questions
We already have developers - why you?
We tried AI already and it stalled.
Will you have access to our whole codebase?
Which models do you use?
How much does it cost?
What do you actually hand off?
Full-time or fractional?
Get Started
Let's scope your AI feature
30-minute call. Free. You leave with an architecture, the cost at your scale, and a timeline for your specific feature - whether we work together or not.