---
title: "learn: answers to the questions people ask about ai agents"
description: "a flat answer library. one page per question about ai agents, agentic ai, multi-agent systems, ai employees, and what all of it does to software jobs."
url: "https://aldena.ai/learn"
---

# questions people actually ask about ai agents

one question per page, answered in the first paragraph. no preamble, no roundups, no sales pitch. where an answer touches what we built, i say so and link the page.

- [can you build an ai agent with chatgpt?](https://aldena.ai/learn/can-you-build-an-ai-agent-with-chatgpt): yes, three ways: custom gpts for simple assistants, agent builder for visual workflows, and the agents sdk in code. each has a different ceiling.
- [can you hire ai employees?](https://aldena.ai/learn/can-you-hire-ai-employees): you can hire the software, not a person. you get a role you assign work to and pay monthly, with none of the employment law and none of the earned judgement.
- [do companies hire ai agents?](https://aldena.ai/learn/do-companies-hire-ai-agents): yes, at scale, but mostly as software subscriptions rather than headcount. support, coding, and document processing lead. most pilots stall before production.
- [does chatgpt have a coding agent?](https://aldena.ai/learn/does-chatgpt-have-a-coding-agent): yes, codex. it runs in the terminal, in the ide, and in the cloud, and it is a separate product from the code help inside a chatgpt conversation.
- [does microsoft teams have an ai agent?](https://aldena.ai/learn/does-microsoft-teams-have-an-ai-agent): yes. copilot in teams summarises meetings and chats, and copilot studio lets you publish custom agents into teams as a chat participant.
- [how can i create my own ai agent?](https://aldena.ai/learn/how-can-i-create-my-own-ai-agent): the loop is about eighty lines of code. pick a framework, give it two or three tools, add a step budget, and iterate on the tools rather than the prompt.
- [how do i become an ai software engineer?](https://aldena.ai/learn/how-do-i-become-an-ai-software-engineer): get strong at backend engineering first, then ship three real systems with retrieval, evaluation, and cost control in them. six to twelve months from there.
- [how much do ai software engineers get paid?](https://aldena.ai/learn/how-much-do-ai-software-engineers-get-paid): us bands in 2026: $130k to $180k entry, $180k to $260k mid, $250k to $400k senior, and $500k+ at frontier labs. europe runs roughly 40% lower.
- [how much does it cost to hire an ai agent?](https://aldena.ai/learn/how-much-does-it-cost-to-hire-an-ai-agent): real numbers: build-your-own runs on token cost alone, platforms sit at $20 to $250 per seat per month, and enterprise pilots are quoted at $25,000 to $75,000.
- [how to build agentic orchestration?](https://aldena.ai/learn/how-to-build-agentic-orchestration): start hierarchical with a shared state store, put a global step budget in first, and add agents one at a time only when a single one visibly fails.
- [is ai replacing software developers?](https://aldena.ai/learn/is-ai-replacing-software-developers): not replacing, reshaping. code generation is strong and the job was never mostly typing. the real damage is to entry-level hiring, which is a pipeline problem.
- [is chatgpt a multi-agent system?](https://aldena.ai/learn/is-chatgpt-a-multi-agent-system): no. chatgpt is one model with routing and tools. it borrows some multi-agent machinery internally, but you get a single agent, not a team you can arrange.
- [is chatgpt an agent or llm?](https://aldena.ai/learn/is-chatgpt-an-agent-or-llm): both, at different layers. gpt is the model. chatgpt is the product wrapped around it, and in agent mode that product behaves as an agent.
- [is chatgpt an agentic ai?](https://aldena.ai/learn/is-chatgpt-an-agentic-ai): partly. plain chat is not agentic. agent mode and deep research are, because they plan, act, and revise without a prompt per step. the same product does both.
- [is copilot a multi-agent system?](https://aldena.ai/learn/is-copilot-a-multi-agent-system): copilot itself is one agent. the multi-agent parts of microsoft's stack are copilot studio and autogen, which are separate products you configure yourself.
- [is it free to build an ai agent?](https://aldena.ai/learn/is-it-free-to-build-an-ai-agent): the frameworks are free. the models, hosting, and your time are not. a working prototype costs about $5 in tokens and two days. production is a different bill.
- [is it hard to build an ai agent?](https://aldena.ai/learn/is-it-hard-to-build-an-ai-agent): the first version is an afternoon. the version you would leave running against production data is a quarter, and the difficulty is entirely in the second half.
- [what 3 jobs will not be replaced by ai?](https://aldena.ai/learn/what-3-jobs-will-not-be-replaced-by-ai): skilled trades, hands-on healthcare, and roles carrying legal accountability. each survives for a different reason, and the reasons beat the list.
- [what are agentic ai companies?](https://aldena.ai/learn/what-are-agentic-ai-companies): companies whose product is an agent that acts rather than answers. the category has four layers: model labs, frameworks, platforms, and applications.
- [what are ai employees?](https://aldena.ai/learn/what-are-ai-employees): an ai employee is an agent packaged as a role rather than a tool: a job title, a standing queue of work, durable memory, and a monthly cost line.
- [what are ai workers?](https://aldena.ai/learn/what-are-ai-workers): ai workers are software agents that carry out assigned work end to end. the term also covers cloudflare workers ai and the humans who label training data.
- [what are enterprise ai agents?](https://aldena.ai/learn/what-are-enterprise-ai-agents): agents built for company deployment rather than personal use. the difference is not intelligence, it is identity, permissions, audit, isolation, procurement.
- [what are the 7 types of ai agents?](https://aldena.ai/learn/what-are-the-7-types-of-ai-agents): the textbook list is five. the seven you see online adds hierarchical and multi-agent systems. here is each type, in plain language, and what it is used for.
- [what are the ai coding agents?](https://aldena.ai/learn/what-are-the-ai-coding-agents): claude code, openai codex, github copilot agent, cursor, devin, and the open-source ones. sorted by whether they work beside you or run on their own.
- [what are the top 10 agentic frameworks?](https://aldena.ai/learn/what-are-the-top-10-agentic-frameworks): langgraph, crewai, autogen, the openai and anthropic agent sdks, llamaindex, smolagents, pydanticai, semantic kernel, and mastra. sorted by what each is for.
- [what are the top 5 ai assistants?](https://aldena.ai/learn/what-are-the-top-5-ai-assistants): chatgpt, claude, gemini, microsoft copilot, and perplexity. each is genuinely best at something different, and the split is clean enough to be useful.
- [what does an ai software engineer do?](https://aldena.ai/learn/what-does-an-ai-software-engineer-do): builds software that uses models: retrieval, evaluation, inference plumbing, and agent loops. mostly ordinary engineering with two unusual problems attached.
- [what is a $900000 ai job?](https://aldena.ai/learn/what-is-a-900000-ai-job): the $900,000 ai job is a real but rare pay band: senior research and infrastructure roles at frontier labs, where most of the number is equity, not salary.
- [what is a multi-agent system?](https://aldena.ai/learn/what-is-a-multi-agent-system): several autonomous agents sharing an environment and coordinating toward a goal. the term is 40 years old and predates language models by decades.
- [what is agentic ai?](https://aldena.ai/learn/what-is-agentic-ai): agentic ai is a model that plans, calls tools, checks results, and keeps going until a goal is met. the difference from a chatbot is the loop, not the model.
- [what is agentic orchestration?](https://aldena.ai/learn/what-is-agentic-orchestration): coordinating several agents toward a goal without scripting the steps. the orchestrator assigns work, routes results, and decides when the whole thing is done.
- [what is ai staff?](https://aldena.ai/learn/what-is-ai-staff): software agents filling staff roles rather than acting as tools. the phrase also means human ai teams and ai staffing agencies, worth untangling first.
- [what is an agent swarm?](https://aldena.ai/learn/what-is-an-agent-swarm): many simple agents producing useful behaviour through local rules and no central controller. in llm practice it usually means several agents with handoffs.
- [what is an ai agent marketplace?](https://aldena.ai/learn/what-is-an-ai-agent-marketplace): a catalog where you browse and install prebuilt agents or agent skills. four kinds exist, and only one solves the problem buyers think it solves.
- [what is an ai software developer?](https://aldena.ai/learn/what-is-an-ai-software-developer): two meanings: a human who builds software with models in it, or an agent that writes and ships code. context decides which, and the two are usually conflated.
- [what is an ai teammate?](https://aldena.ai/learn/what-is-an-ai-teammate): an agent positioned as a colleague rather than a tool: it sits in your channels, holds context about the work, and takes assignments instead of prompts.
- [what is an example of a multi-agent system?](https://aldena.ai/learn/what-is-an-example-of-a-multi-agent-system): concrete examples, from traffic lights and warehouse robots to a software team of planner, engineers, and reviewer working one codebase together.
- [what is an example of ai orchestration?](https://aldena.ai/learn/what-is-an-example-of-ai-orchestration): three worked examples: a support ticket routed and resolved, a document pipeline, and a feature shipped by a planner, two engineers, and a reviewer.
- [what is orchestration in ai?](https://aldena.ai/learn/what-is-orchestration-in-ai): the layer that decides what runs, in what order, with what data, and what happens when a step fails. it covers three things people use the same word for.
- [what is the 30% rule for ai?](https://aldena.ai/learn/what-is-the-30-percent-rule-for-ai): there is no single 30% rule. the phrase covers three claims: an automation ceiling, a productivity gain, and a hallucination budget. only one is useful.
- [what is the ai workforce?](https://aldena.ai/learn/what-is-the-ai-workforce): the ai workforce is the set of software agents a company staffs like headcount: named roles, assigned work, a reporting line, and a bill you can attribute.
- [what is the best multi-agent system?](https://aldena.ai/learn/what-is-the-best-multi-agent-system): depends on whether you want a framework to build with or a platform to run. langgraph and crewai lead on frameworks. platforms differ on memory and gates.
- [what is the difference between crewai and agent swarm?](https://aldena.ai/learn/what-is-the-difference-between-crewai-and-agent-swarm): crewai is a framework with roles, tasks, and a process. swarm is a pattern, and also an openai library, where agents hand off to each other with no coordinator.
- [what is the difference between workflow and agentic orchestration?](https://aldena.ai/learn/what-is-the-difference-between-workflow-and-agentic-orchestration): a workflow decides the path in advance. agentic orchestration decides it at runtime. one is cheaper and debuggable, the other handles branches nobody listed.
- [what jobs are in danger due to ai?](https://aldena.ai/learn/what-jobs-are-in-danger-due-to-ai): screen work that produces a document and needs no signature. entry-level rungs are going first, which is a bigger problem than whole occupations disappearing.
- [what workers is ai replacing?](https://aldena.ai/learn/what-workers-is-ai-replacing): so far: data entry, basic translation, first-draft copy, tier-one support, and junior document review. mostly tasks rather than people, and mostly entry level.
- [which 5 jobs will survive ai?](https://aldena.ai/learn/which-5-jobs-will-survive-ai): no list of five is authoritative. the roles that hold up share three traits: physical presence, legal accountability, or a relationship built into the work.
- [which ai agent platform is best for enterprises?](https://aldena.ai/learn/which-ai-agent-platform-is-best-for-enterprises): depends which constraint binds. incumbent suites win on procurement, specialists win on outcome, and build-your-own wins only when the agent is your product.
- [which is the best agentic ai?](https://aldena.ai/learn/which-is-the-best-agentic-ai): there is no single best. the answer splits four ways by what you are automating: coding, customer operations, enterprise workflow, or a whole team.
- [which is the best ai agent?](https://aldena.ai/learn/which-is-the-best-ai-agent): no agent wins every job. sorted by what you need done: coding, browsing, research, support, and running a team. plus the test that beats every leaderboard.
- [which is the best ai employee?](https://aldena.ai/learn/which-is-the-best-ai-employee): depends on the role you are filling. vendors sell canned personas that work solo. the honest test is a fortnight of real work with the completion rate recorded.
- [who are the big 4 ai agents?](https://aldena.ai/learn/who-are-the-big-4-ai-agents): there is no official big 4 of ai agents. the phrase borrows from consulting. here is what searchers usually mean and which platforms belong in the comparison.
- [who are the major developers of ai?](https://aldena.ai/learn/who-are-the-major-developers-of-ai): openai, anthropic, google deepmind, meta, microsoft, nvidia, mistral, alibaba, and deepseek. sorted by whether they build models, hardware, or both.
- [who is leading in agentic ai?](https://aldena.ai/learn/who-is-leading-in-agentic-ai): three separate races: anthropic and openai lead on capability, microsoft and salesforce on distribution, and the application layer is wide open.

## want the product, not the definition?

these pages explain the category. the feature pages explain what aldena does inside it: isolated rooms, agent memory, an org chart that delegates, and approval gates.

- [what aldena does](https://aldena.ai/features)