You will get an AI build vs buy assessment with a cost model at your volume
Rising Talent
Project details
Most AI platform decisions are made on a feature matrix and regretted on the invoice.
This assessment compares three architectural approaches, build in-house, buy off-the-shelf, or run a hybrid, on the things that actually drive the bill: where orchestration runs, who owns the state, and how each vendor meters usage. Then it prices all three at your expected volume, so you can see exactly where the cheapest option stops being the cheapest.
You get a recommendation with its conditions attached: what would have to change for a different answer to win. Not a vendor shortlist, and not a slide deck.
I run product at a B2B SaaS company and build AI workflows daily. A full version of this analysis is in my Upwork portfolio. It is self-initiated on public data, so nothing in it belongs to a client.
This assessment compares three architectural approaches, build in-house, buy off-the-shelf, or run a hybrid, on the things that actually drive the bill: where orchestration runs, who owns the state, and how each vendor meters usage. Then it prices all three at your expected volume, so you can see exactly where the cheapest option stops being the cheapest.
You get a recommendation with its conditions attached: what would have to change for a different answer to win. Not a vendor shortlist, and not a slide deck.
I run product at a B2B SaaS company and build AI workflows daily. A full version of this analysis is in my Upwork portfolio. It is self-initiated on public data, so nothing in it belongs to a client.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AIOps, Conversational AIAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$249
|
Standard
$449
|
Advanced
$749
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100Frequently asked questions
About Artem
Product Strategist | B2B SaaS, AI & Automation | YC W21 Founder
Bratislava, Slovakia - 11:57 am local time
I help early-stage and scaling startups turn messy market signals into a product direction someone can actually execute - a roadmap, a spec, a decision.
10+ years in product, currently Head of Product at a Swiss B2B SaaS company.
What I do for clients:
- Market & competitive research - structured and decision-ready, not a 40-slide data dump. You get a recommendation and the reasoning behind it.
- MVP scoping - PRD, user flows, acceptance criteria, clickable prototype. Written so engineers stop asking clarifying questions.
- Fundraising materials - pitch deck, narrative, financial model, data room. I've raised pre-seed and seed myself and ran investor relations for a fund.
- AI & workflow automation - I find where your process leaks time and rebuild it. On my last engagement an AI assistant owned eight of the twenty-three tasks on the delivery plan, with named outputs and a human review step.
Strongest in: B2B SaaS, fintech and trading platforms, martech, and AI workflow automation.
I was a business analyst before I was a product manager, which is why my documentation survives contact with a dev team. BSc in Computer Networks & Telecommunications.
Based in Bratislava (CET) - solid overlap with both EU and US East Coast. English fluent, Russian and Ukrainian native.
If you're not sure what you need yet, message me with the problem rather than the deliverable. Half my value is figuring out which document you actually need.
Steps for completing your project
After purchasing the project, send requirements so Artem can start the project.
Delivery time starts when Artem receives requirements from you.
Artem works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff: I map your use case to the archetypes
I place your workload against the three architectural patterns and come back with the questions that actually change the cost, usually about volume and data residency.
Cost model built at your numbers
I model per-seat, per-run and per-token pricing side by side at your expected volume, including the points where the cheapest option flips to a different one.