AI Agent Development for the Work Nobody Has Time For
The next layer of automation isn't a feature — it's a workforce. We build AI agents that triage inboxes, run operations, enrich leads, answer questions over your documents, and take real action across the tools you already use. Pilot-first. Production-grade. Honest about what should and shouldn't be an agent.
Why Most Agent Projects Fail
Agent demos are easy. Production agents are not. The gap is use case selection, real tool integration, structured guardrails, cost control, and monitoring you can actually trust. We treat agent development the way we treat MVPs: scope tight, build durable, measure honestly. The goal isn't an AI transformation — it's one agent in production that pays for itself, and a clear read on what to automate next.
Use Case Selection
Most workflows are not good agent candidates. The wrong first agent burns budget and trust. We name what to automate — and what not to.
Real Tool Integration
An agent is only as useful as what it can actually touch. We wire agents into your real CRM, inbox, docs, and APIs — not toy demos.
Guardrails & Cost Control
Without structured prompts, validation, monitoring, and cost ceilings, agents go off the rails. We build production-grade controls from day one.
Our AI Agent Development Process
Use Case Discovery
We audit your operations to find workflows that are high-frequency, pattern-rich, tool-bound, and measurable. Not everything should be an agent.
Pilot Scope & Architecture
We design a focused agent pilot — one workflow end to end — with clear inputs, tool integrations, decision logic, cost ceilings, and human checkpoints.
Build, Integrate & Train
We wire the agent into your real systems, tune prompts on real data, build guardrails, and load context — often via retrieval over your knowledge base.
Launch, Measure, Expand
The agent goes live with monitoring. We track what it did, what it skipped, what it cost. Once the pilot proves out, we scale to additional workflows.
Types of Agents We Build
Executive Assistant Agents
Inbox triage, calendar coordination, meeting prep briefs, follow-up drafting, contact research. The work that drains a leader's day.
Operations Agents
Cross-tool workflow automation, data hygiene, recurring reporting, vendor and invoice processing, status update aggregation across systems.
Sales & Marketing Agents
Lead research and enrichment, outbound drafting, CRM data quality, content draft generation, and campaign performance summaries.
Internal Knowledge Agents
Retrieval-augmented agents that answer questions over your documents, Notion, Drive, codebase, or internal wiki — done right.
Customer-Facing Agents
Support triage, intake, scheduling, onboarding, and first-line responses with clear handoff paths to human team members.
The Agent Pilot
A 4–6 week packaged engagement: one focused agent, built end to end, with monitoring and 30 days of post-launch tuning. Pilots start at $15,000.
Frequently Asked Questions
What's the difference between an AI agent and an automation like Zapier?
Zapier follows fixed rules. An AI agent reasons over inputs, decides what to do, and adapts to messy real-world data. They're complementary — agents often call automation tools as part of their workflow.
How is this different from your AI Product Development service?
AI Product Development puts AI inside the software you ship to your customers. AI Agent Development puts AI to work inside your business operations. Different buyer, different outcome.
What's a good first agent to build?
Usually one that's high-frequency, pattern-rich, and tool-bound — sales lead enrichment, inbox triage, recurring reporting. We help you pick during the pilot scoping.
Will an agent replace my team?
Almost never. Well-scoped agents take the busywork off your team's plate so they can focus on judgment-heavy work. We design with human-in-the-loop checkpoints from the start.
How do you control AI costs?
We model expected token usage during scoping, set hard cost ceilings, log every call, and use caching and smaller models where possible. You see usage data, not surprise bills.
What tools and platforms do you use?
We are platform-agnostic. Common building blocks include OpenAI and Anthropic Claude for LLMs, custom orchestration in Python/TypeScript or LangGraph, n8n and Make for workflow integration, and Pinecone or Supabase pgvector for memory and retrieval.
How long does an agent pilot take?
A focused agent pilot typically launches within 4–6 weeks. Full multi-agent rollouts run 8–14 weeks depending on integration depth.
How much does AI agent development cost?
Agent Pilots range $15,000–$25,000. Full agent rollouts typically range $35,000–$90,000 depending on workflow complexity, integrations, and ongoing usage volume.
Built in Kansas City. Trusted by clients nationwide.
918 Studio is headquartered at 43 Kansas Ave., Kansas City, KS 66105. We partner with founders, startups, and businesses across the United States. Our remote-first workflow allows us to collaborate seamlessly across time zones, move quickly, and deliver consistently.
Whether you're local to the Kansas City area or building from New York, Austin, Denver, or anywhere else, we function as a true extension of your team with structured communication, defined sprints, and transparent progress.
Ready to Put an Agent to Work?
If you're searching for an AI agent development agency that ships pilots that actually run in production, we're ready to help. Book a call and let's pick the right first agent for your business.
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