Agent vs chatbot
A chatbot primarily answers prompts. An AI agent takes a goal, plans steps, calls tools, and returns outcomes.
| Capability | Chatbot | AI Agent |
|---|---|---|
| Prompt response | Yes | Yes |
| Tool use | Limited | Core behavior |
| Multi-step execution | Minimal | Built-in |
| Persistent task context | Limited | Strong |
| Operational autonomy | Low | High |
The four production agent patterns
Tool-use agent
Best fit for most first deployments. The model calls APIs and internal tools to complete defined workflows.
Multi-agent orchestration
An orchestrator delegates work to specialist agents for research, analysis, and execution.
RAG plus agent
Retrieval provides current domain knowledge while the agent executes tasks with controlled tool access.
Fully autonomous
Planner, executor, and evaluator loops run with strict guardrails and escalation gates.
Our stack
- Model APIs: Claude API, Google ADK, OpenAI
- Agent frameworks: LangChain, CrewAI, custom orchestration runtime
- Data and retrieval: vector stores, Postgres, document pipelines
- Production controls: policy layer, logging, evaluation harnesses, budget limits
Use cases
- Customer support agent with retrieval + ticket actions
- Data analysis agent for weekly account and risk summaries
- Workflow agent for CRM and operations automations
- Research agent for market scanning and structured briefs
Nepal story
Codse Tech builds from Nepal, where search interest for "AI agent development" has accelerated rapidly. The team applies that momentum to practical systems engineering: measurable outcomes, controlled rollout, and operational reliability.
FAQ
What is AI agent development?+
AI agent development builds systems that can plan tasks, use tools, and execute actions toward business goals with measurable reliability.
What's the difference between an AI agent and a chatbot?+
A chatbot responds to prompts. An agent executes multistep goals with tool use, memory, and policy controls.
How much does it cost to build an AI agent?+
Cost depends on scope, integrations, and compliance constraints. Most teams start with fixed discovery and delivery sprints.
What is agentic AI?+
Agentic AI refers to systems that can reason through goals, choose actions, and complete work with tools and context.
Which AI agent framework should I use?+
Choose based on team maturity, tooling needs, observability, and the level of control required in production.