Agent development
AI agent development with tools, memory and guardrails.
MyKoala builds AI agents that can use tools, follow business rules, call APIs, work with knowledge sources, create tasks and escalate work to a human when confidence is low.
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Agent development is product development
Agent development is product development
The model is only one component. The real work is the product shell around it: interfaces, permissions, memory, tool calls, test examples, logging and safe fallback behavior.
Tools make agents useful
Agents can be connected to email, CRMs, calendars, databases, spreadsheets, Slack, Stripe, Twilio, Resend, Supabase, Vercel functions and custom APIs. Each tool gets a clear permission boundary.
Rollout starts narrow
The first version should solve one task well. Once logs prove quality, the agent can take on more actions, more data and more autonomous steps without guessing blindly.
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What you actually get
- Agent architecture and task boundaries
- Model and tool-selection plan
- Prompt, memory and context design
- API integration and function-calling layer
- Evaluation examples and edge-case test set
- Operator dashboard, logs and approval workflow
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How the work runs
Define the agent role, data sources and allowed actions.
Build a prototype against real business examples.
Add tools, logs, permissions and review states.
Run test cases for accuracy, refusals and escalation.
Launch with monitoring and improve from real transcripts.
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Questions people actually ask
What makes agent development different from chatbot development?
Agent development includes tool use, workflow logic, memory, permissions and escalation. A chatbot usually only answers or drafts.
Which AI models can you use?
Projects can use OpenAI, Claude, Gemini or other model providers depending on the task, latency, cost, data and tooling needs.
Can an AI agent call my API?
Yes. If your system has an API or webhook, an agent can be designed to call approved endpoints under clear rules.
Do you build the backend too?
Yes. MyKoala can build the backend, database, API routes, logs and dashboards around the agent.
Build an agent system
Describe the bottleneck and I will map the first useful system. One reply, from the person who does the work — usually within a day. Engagements run as fixed-scope sprints, project builds or monthly retainers — indicative pricing is public on the work page.