You will get an AI product audit with a 30/60/90 day execution plan
Project details
You want a critical read on your AI product, not a friendly review. Where it's working, where it's weak, what's at risk, and what to ship in the next 30, 60, and 90 days.
What you get:
• Audit scored against a 10-dimension rubric covering eval coverage, cost, latency, retention, and risk
• Prioritized risk register with owners and severity
• 30/60/90 day execution plan with success metrics
• Walkthrough with leadership and engineering so the plan has shared ownership
Background: 15 years in product, including a $200M Microsoft partnership at SAS, a $400M cross-sell program at Nike, and a $5.1B Samsung launch with GDPR compliance. Five product lines currently in active development on Claude Code, RAG, and multi-LLM orchestration.
Diagnostic covers a single product or feature. Audit + Plan adds the 30/60/90 day execution plan. Audit + Plan + Coaching adds 4 weeks of weekly working sessions while the team executes.
What you get:
• Audit scored against a 10-dimension rubric covering eval coverage, cost, latency, retention, and risk
• Prioritized risk register with owners and severity
• 30/60/90 day execution plan with success metrics
• Walkthrough with leadership and engineering so the plan has shared ownership
Background: 15 years in product, including a $200M Microsoft partnership at SAS, a $400M cross-sell program at Nike, and a $5.1B Samsung launch with GDPR compliance. Five product lines currently in active development on Claude Code, RAG, and multi-LLM orchestration.
Diagnostic covers a single product or feature. Audit + Plan adds the 30/60/90 day execution plan. Audit + Plan + Coaching adds 4 weeks of weekly working sessions while the team executes.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
Conversational AIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$2,200
|
Standard
$5,800
|
Advanced
$12,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 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 | - | - | - |
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VG
Vladimir G.
Apr 1, 2026
Claude Code for Climate Justice Intelligence Platform
Working with Alex was an amazing experience. He has an incredible ability to take raw concepts and convert them into fully functional products incredibly fast. He doesn't just help you to solve a problem; he executes with an entrepreneurial mindset. Beyond his speed and technical skill, he is a genuinely passionate teacher. He took the time to break down complex AI concepts so I understood exactly what was being built.
AK
Alexander K.
Mar 2, 2026
Product strategy for the AI dev tool
I had a great experience working with Alexander M. on the product strategy for our new AI dev tool. He brought a deep understanding of the AI landscape and developer needs, which translated into a highly valuable and well-thought-out strategy. His communication was excellent throughout the project, and he delivered everything right on schedule. I would absolutely hire him again for future strategic work.
About Alexander
AI Product Manager | Agentic AI, Claude Code, RAG, LLM Strategy
100%
Job Success
Chapel Hill, United States - 9:02 pm local time
Most senior PMs don't ship code. Most AI builders haven't run product at scale. Bringing both means I write specs engineers actually ship, pressure-test architectures before contracts close, and price AI products against real unit economics, not vendor decks.
What I take on:
• Agentic AI product strategy and roadmap (multi-agent orchestration, RAG, evals, model selection)
• Technical PM coaching and frameworks for AI/SaaS teams
• Prototype-to-production handoff with Claude Code, including spec writing and architecture review
• GDPR, Trust & Safety, and data privacy for AI products
Selected results:
• SAS: Secured a $200M Microsoft partnership by identifying an ML product opportunity on Azure/Fabric. Shaped multi-tenant SaaS strategy for 5,000+ enterprise customers projected to cut costs 30% ($1M+ per customer annually).
• Nike: Launched partner account linking on Dick's Sporting Goods (160M+ Nike Members). Online cross-sales up 20%, generating $400M projected annual revenue.
• Samsung: Led GDPR compliance for the new EMEA e-commerce platform, enabling $5.1B in first 6 months across 7 markets while avoiding up to $9B in potential fines.
• TIBCO: Delivered TIBCO Spotfire Cloud, the company's first SaaS platform. Reached 100K MAU and $20M ARR in 2 years. The architecture became the template adopted across 7 TIBCO product lines.
Based in Chapel Hill, NC. Available 30+ hours/week. Currently founder of Integrity Evolution, an AI product lab shipping agentic platforms across knowledge capture, enterprise AI agents, and consumer storytelling.
Steps for completing your project
After purchasing the project, send requirements so Alexander can start the project.
Delivery time starts when Alexander receives requirements from you.
Alexander works on your project following the steps below.
Revisions may occur after the delivery date.
Phase 1: Audit (Days 1-10)
Review the AI product end to end. Score against a 10-dimension rubric covering eval coverage, cost, latency, retention, and risk. Output a gap analysis and prioritized risk register.
Phase 2: 30/60/90 plan (Days 11-21)
Draft a 30/60/90 day execution plan with owners, dependencies, and success metrics. Iterate with you and engineering leadership.