You will get a Gap Analysis and Roadmap for Your LLM Observability Stack
Project details
Most teams building on LangChain or LangGraph don't know what they're missing in observability — until something breaks in production and they can't explain why.
This audit gives you a clear picture before that happens.
I review your current stack, identify the gaps, and tell you exactly what to set up — LangSmith, Langfuse, Arize, or something else — based on your actual architecture and budget.
Deliverables: gap analysis, tool selection recommendation, written observability roadmap (10–15 pages), and a 45-minute review call.
No implementation — just a clear plan you can act on immediately.
I've run this exact setup at Structed.ai (LangGraph in production). I know what matters and what's noise.
This audit gives you a clear picture before that happens.
I review your current stack, identify the gaps, and tell you exactly what to set up — LangSmith, Langfuse, Arize, or something else — based on your actual architecture and budget.
Deliverables: gap analysis, tool selection recommendation, written observability roadmap (10–15 pages), and a 45-minute review call.
No implementation — just a clear plan you can act on immediately.
I've run this exact setup at Structed.ai (LangGraph in production). I know what matters and what's noise.
AI Algorithms
Large Language ModelAI Applications
AIOpsAI Models
GPT-4What's included $2,500
These options are included with the project scope.
$2,500
- Delivery Time 5 days
- Number of Revisions 0
- MLOps
- Model Monitoring
Frequently asked questions
About Denys
Fractional CTO | AI Systems Architect | Early-Stage Tech Leadership
Palm Coast, United States - 6:32 pm local time
Available for:
- Fractional CTO (paid retainer, 1–2 startups at a time)
- Technical co-founder / CTO partnership (equity-based, right early-stage product)
What I bring:
- Technical architecture decisions (not just code review)
- AI integration strategy - LangGraph, RAG, LangSmith, agent pipelines, production AI systems
- Engineering team building - first hires, onboarding, defining standards
- Roadmap from prototype to production (I've been on both sides of that gap)
LLM Observability & LangSmith:
If your LangChain/LangGraph agents are in production (or heading there), I set up proper observability: tracing, evaluations, cost monitoring, and alert rules. I run this exact setup at Structed.ai. Available as a standalone engagement (1 week, $1,500–3,500) or as part of a broader CTO engagement.
My background:
- Structed.ai (current): Co-founder & CTO, building an AI Discovery Agent from zero - NestJS, FastAPI/LangGraph, PostgreSQL, Docker
- BigPanda: backend platform connecting 200+ enterprise monitoring tools (Datadog, ServiceNow, PagerDuty), 40+ microservices, real-time incident correlation at scale
- Autodesk: modernization of checkout & billing platform - revenue-critical infrastructure serving millions of subscribers globally
I work with founders who need someone to answer: "Is our architecture right for where we're going?" and "Who's going to make the technical calls while we're figuring this out?"
Entry points:
- Tech Snapshot (2 days, $500–800) - quick written verdict on your stack
- Architecture Audit (2 weeks, $2,500–5,000) - full report + 90-day roadmap
Ongoing: Monthly Advisor retainer for continued CTO-level guidance.
Who this works for: Pre-seed / seed stage, B2B SaaS or AI product, non-technical CEO, 1–5 engineers.
Send me a message with where you are technically and where you need to get to.
Steps for completing your project
After purchasing the project, send requirements so Denys can start the project.
Delivery time starts when Denys receives requirements from you.
Denys works on your project following the steps below.
Revisions may occur after the delivery date.
Stack review
Review your codebase, agent architecture, and any existing observability setup to map the current state.
Gap analysis
Identify what is missing: tracing, cost monitoring, evaluations, alerting. Prioritize by business impact.