You will get Production-Grade LangSmith Observability for Your AI Agents
Project details
Full production-grade observability for your LangChain or LangGraph agents — built in 7–10 days.
Beyond basic tracing: custom evaluators tuned to your domain, online evaluations that run automatically on every production trace, alert rules for latency spikes and cost anomalies, and a prompt versioning workflow your team can actually use.
I built this exact system at Structed AI — running in production with real domain experts reviewing outputs. Every configuration decision comes from production experience, not documentation.
This is what you need before scaling or before things start breaking silently.
Beyond basic tracing: custom evaluators tuned to your domain, online evaluations that run automatically on every production trace, alert rules for latency spikes and cost anomalies, and a prompt versioning workflow your team can actually use.
I built this exact system at Structed AI — running in production with real domain experts reviewing outputs. Every configuration decision comes from production experience, not documentation.
This is what you need before scaling or before things start breaking silently.
AI Algorithms
Large Language ModelAI Applications
AIOpsAI Development Language
PythonAI Models
ChatGPTWhat's included $4,500
These options are included with the project scope.
$4,500
- Delivery Time 10 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 - 2:32 am 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.
Tracing + custom evaluator setup
Integrate LangSmith tracing and build domain-specific evaluators for accuracy, relevance, and safety.
Prompt versioning & team onboarding
Set up Prompt Hub workflow and run a 2-hour team onboarding workshop with written documentation.