You will get LangSmith Observability Set Up for Your LangGraph App
Project details
I set up LangSmith observability for your LangChain or LangGraph app in 3–5 days.
You get: tracing on every agent run, cost and latency monitoring, a quality dashboard, and team documentation — so you can see exactly what your AI is doing in production.
I built this exact setup at Structed AI (LangGraph agents in production). I know what matters to instrument first and what to skip.
This is the entry point. After Quick Start, teams typically move to custom evaluators and automated quality checks — but you'll have a working foundation immediately.
Introductory rate — 2 spots at $1,200. Full price $1,500.
You get: tracing on every agent run, cost and latency monitoring, a quality dashboard, and team documentation — so you can see exactly what your AI is doing in production.
I built this exact setup at Structed AI (LangGraph agents in production). I know what matters to instrument first and what to skip.
This is the entry point. After Quick Start, teams typically move to custom evaluators and automated quality checks — but you'll have a working foundation immediately.
Introductory rate — 2 spots at $1,200. Full price $1,500.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AIOpsAI Development Language
PythonAI Models
ChatGPTWhat's included $1,200
These options are included with the project scope.
$1,200
- Delivery Time 5 days
- Number of Revisions 1
- MLOps
- Model Monitoring
- Prompt Engineering
Frequently asked questions
About Denys
Fractional CTO | AI Systems Architect | Early-Stage Tech Leadership
Palm Coast, United States - 2:58 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.
LangSmith project setup & tracing integration
Configure LangSmith project, connect your codebase, and add tracing to all LangGraph/LangChain runs.
Cost, latency & quality dashboard
Set up cost per run, latency tracking, and basic quality metrics visible in a shared LangSmith dashboard.