AI Agents/Sandy/LangChain Agent Development
LangChain • Sandy, UT

LangChain Agent Development — built for Sandy businesses

Not demos. Not slides. Real AI agents running in production for businesses across Salt Lake Valley.

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Production LangChain agents with memory, tools, and real-world integrations that actually ship.

In Salt Lake Valley, we're seeing AI agents deployed for customer intake, sales automation, operations, and everything in between. The businesses that figure this out now are the ones that will be impossible to compete with in three years.

Having a local partner matters for AI agent projects. We're available for on-site workshops, whiteboard sessions, and hands-on training with your team in Sandy. Not a ticket in a queue — a real partner.

What we build for Sandy langchain agent development clients

  • RAG pipelines with intelligent retrieval and re-ranking
  • Document processing and extraction agents
  • Conversational agents with persistent memory
  • API orchestration and data pipeline agents
  • Code review and generation agents

Problems we solve

  • — LangChain prototypes that don't make it to production
  • — Agents that hallucinate without proper grounding
  • — Memory and context management at scale
  • — Need engineers who know LangChain deeply

Built for Sandy businesses like these

Engineering teams adding AI to existing productsEnterprises with complex LLM pipelinesCompanies that need RAG + agent hybrid systems

Tech stack we use

LangChainLangSmithOpenAI APIAnthropic Claude APIVector databases (Pinecone, Weaviate, pgvector)

Deliverables for Sandy clients

LangChain agent build
LangSmith tracing setup
RAG pipeline if applicable
Production-ready deployment

Typical timeline: 2–8 weeks · On-site available in Sandy

How a Sandy engagement runs

01

Discovery call

We map your workflows, understand your tools, and identify the highest-ROI agent opportunity in your business.

02

Architecture design

We design the agent: inputs, outputs, integrations, error handling, and the logic that makes it reliable in production.

03

Build and integrate

We build the agent, connect it to your tools and data, and run it through real scenarios — not sanitized demos.

04

Test and harden

We stress-test edge cases, add monitoring, and make sure the agent degrades gracefully when something unexpected happens.

05

Deploy and hand off

We deploy to production, set up alerting, and train your team to manage and iterate on the agent going forward.

Questions from Sandy clients

How long does it take to build and deploy an AI agent?

Most simple agents (single workflow, clear inputs/outputs) are live in 1–2 weeks. More complex agents with multiple integrations or multi-agent architectures take 3–8 weeks. We'll give you an accurate timeline after our first call.

What happens if the agent breaks after you deliver it?

We include a 30-day stabilization period in every engagement. If something breaks, we fix it. We also set up monitoring and alerting so we catch issues before you do. Post-stabilization support retainers are also available.

What does an AI agent actually cost to run?

Most agents for small-to-mid businesses cost $50–$300/month in API and infrastructure fees depending on volume. We design for cost efficiency from the start and show you expected running costs before we build.

Do you work with small businesses or just enterprises?

Both. We've shipped agents for solo operators, 5-person startups, mid-market companies, and enterprise teams. The scope and stack differ, but the outcome — reliable automation that saves time — is the same.

What to expect

LangChain Agent Development across Salt Lake Valley

Other agents we build in Sandy

The best time to deploy an AI agent was six months ago. The second best time is now.

No commitment. We'll walk you through exactly what an agent build looks like for your specific situation.

On-site in Sandy, UT · Remote delivery everywhere else.