WHAT THIS IS
AI agents are software systems that take a goal, break it into steps, call external tools (APIs, databases, services) in sequence, and deliver a completed result. Unlike chatbots that generate text responses, agents take actions: they book meetings, update CRM records, send emails, process documents, and orchestrate multi-system workflows.
What an AI Agent Actually Does
An AI agent follows a four-phase execution loop. First, it parses the incoming task and identifies constraints. Second, it generates a structured plan as a sequence of steps. Third, it executes each step by calling the appropriate tool and passing results forward. Fourth, it compiles the outputs into a final deliverable. If an intermediate step fails or returns unexpected data, the agent re-plans and retries.
The key differentiator is tool calling. The agent is given a registry of available tools, each with a defined input schema and output format. When the agent decides to use a tool, it emits structured JSON specifying which tool to invoke and what arguments to pass. The runtime executes the call and returns the result. This is what separates an agent from a prompt wrapper.
How We Build Agents
Every agent starts with a defined scope: what task it handles, what tools it needs, what output it produces, and what guardrails constrain it. We build agents on Cloudflare Workers, which gives them edge-deployed execution (sub-50ms cold start), native Workers AI bindings (no external API keys for inference), and durable state via D1 and KV.
For multi-agent systems, we use orchestration patterns where a coordinator agent dispatches subtasks to specialized agents. Each agent has its own tool registry, system prompt, and output schema. The coordinator collects results, handles failures, and assembles the final output. This is how you handle complex workflows that span multiple domains: scheduling, CRM, email, and content generation in a single execution.
Agent Types We Build
- Task agents: Single-purpose agents that handle one workflow end to end (e.g., lead qualification, invoice processing, appointment scheduling).
- Orchestrator agents: Coordinators that break complex requests into subtasks and dispatch them to specialized agents.
- Monitoring agents: Always-on agents that watch data streams, detect anomalies, and trigger responses automatically.
- Integration agents: Agents that bridge systems, keeping data synchronized across CRM, email, calendar, and internal tools.
What the Client Gets
A deployed, running agent with a defined API surface. Each agent comes with structured logging, error handling, retry logic, and a test suite. We provide documentation of the agent's tool registry, execution flow, and expected inputs/outputs. The agent runs on Cloudflare Workers with no server management required.
For ongoing work, agents integrate with monitoring dashboards that show execution counts, success rates, average latency, and error breakdowns.
See Agents in Action
These demos show real agent behavior: tool selection, multi-step execution, and structured output.