ThinkDeck is an AI agent development company that builds custom agents which read your systems, take actions, and close the loop: qualifying leads, resolving support requests, reconciling data, running research. Every agent ships with an evaluation set, guardrails, and monitoring, so it keeps working after launch day.
Research every inbound lead, score it against your ideal customer profile, update the CRM, and reply or book a call within minutes.
Sit behind your support chatbot and resolve requests end to end: plan changes, refunds, resets, order updates, with human approval where it matters.
Reconcile invoices, move data between tools, generate reports, and flag anything that doesn't add up.
Track competitors, markets, and sources on a schedule and deliver summaries your team actually reads.
Screen applications against a rubric, schedule interviews, and provision accounts across your tools when someone joins.
When a process genuinely splits into parts, a planner agent coordinates specialist agents, with full tracing across every step.
We pick the workflow with the clearest payoff and define what 'done' means in a way software can check.
Every system the agent touches gets the narrowest permission that works, with approval on irreversible actions.
Real examples with known correct outcomes, so every change is measured instead of guessed.
We wire the agent loop, run the evals, read the traces, and fix the failures that repeat.
The agent proposes, your team approves. We measure task success, time saved, and cost per task.
Tracing, cost alerts, and regular eval runs keep the agent reliable as your data and models change.
We build and operate our own AI products, including AiKey, an LLM gateway for routing, budgets, and observability. We use the same tooling on client agents.
A focused agent typically reaches production in 3–6 weeks. No six-week discovery phase.
Evaluation and guardrails are part of the build, not an upsell. That's what makes an agent safe to connect to real systems.
It designs, builds, and runs AI agents for your business: choosing the workflow, integrating your tools, writing the agent logic, testing it against real examples, adding guardrails, deploying it, and monitoring it after launch.
Focused agents typically cost $3,000–$10,000, production business agents $10,000–$40,000, and multi-agent systems more. See our full AI agent development cost breakdown. We give a fixed price after scoping.
Most single-workflow agents reach production in 3–6 weeks, including evaluation and a shadow launch. Larger multi-agent systems usually take 8–12 weeks or more.
If the value is in the answer, a chatbot. If it's in the completed task, an agent. Many teams use both. Read AI agent vs chatbot for a quick test.
We're model-agnostic. We use Claude, GPT, Gemini, and open-weight models, with frameworks such as LangGraph, the OpenAI Agents SDK, and the Claude Agent SDK, chosen to fit your stack.
Yes, when it's designed for it: narrow permissions, approval steps for irreversible actions, spending limits, audit logs, and a rollout that starts in shadow mode.
A practical guide to AI agent development: how agents work, the architecture behind them, the tools we use, and the step-by-step process to production.
How much does AI agent development cost? Typical 2026 price ranges, what drives the budget, ongoing running costs, and how to keep spend under control.
Learn how to build an AI agent step by step: scoping, tools, the agent loop, guardrails, evaluation and deployment, with a worked lead-qualification example.
Need a conversational front door for your agents? We also build AI chatbots trained on your docs.