We build production AI agents that plan, use tools, remember context and orchestrate with others — not single-shot LLM calls. LangGraph for stateful orchestration, structured memory, tool-use with retries, and eval suites. You get an agent that completes multi-step tasks reliably.
What is AI agent development? AI agent development is the engineering of autonomous software agents that use a language model to plan, call tools and complete multi-step tasks with guardrails. ClickTake delivers AI agent development for UK teams, shipping agents that call your internal APIs with schema-validated tool calls and labelled evals on every release.
Every engagement ships with these deliverables baked in — not bolted on later.
Stateful agent graphs with branching, retries and human-in-loop checkpoints — not a single prompt that hopes for the best.
Agents decompose goals into steps, choose tools per step, and revise the plan when a step fails — observable reasoning, not a black box.
Short-term working memory and long-term vector memory — agents remember context across sessions, not just within one.
Specialist agents (researcher, coder, reviewer) orchestrated by a planner — each with its own tools, prompts and eval sets.
Every agent change runs against a labelled task suite — success rate, tool-call accuracy and cost measured on every release.
Every agent run is traced end-to-end with LangSmith or Langfuse — you see which step cost what, and where the failure was.
The production stack we ship for ai agent development.
Senior engineers (8+ yrs avg) own every engagement. CI/CD from day one, observability baked in, and a p99 120ms performance budget enforced in CI.
A tailored 4-step process for ai agent development.
We map the task, the tools the agent can call, the success criteria and the failure modes — documented before any code.
We build the LangGraph state machine, wire tools with retries and validation, and add short-term and long-term memory.
We build a labelled task eval set, add guardrails (PII, topic, output schema) and run regression tests on every change.
We ship with LangSmith/Langfuse tracing, cost monitoring, human-in-loop checkpoints, and a runbook for agent failures.
Common questions — answered the way you'd ask them out loud.
These are the spoken questions this page answers for Siri, Google Assistant and Alexa:
Expertise · Authoritativeness · Trustworthiness
Other ai & automation services that pair well with AI Agent Development.
Book a free 30-minute consultation. A senior engineer reviews your brief within 4 hours and brings a draft architecture — fixed-scope PoC in 6 weeks.