Build a Custom AI Agent Without Code: Step by Step

Somebody on your team probably already has a prompt saved in a notes file that they paste into a chat window every Monday. It works. It also lives on one laptop, and nobody else can use it.

Turning that prompt into a shared agent is the point of a no code builder. Below is the full path, step by step: the job, the form fields, the prompt, debugging and publishing. We'll say how Sanplex fits, and where it doesn't.

What is a custom AI agent without code?

It's a small AI helper you set up through forms and text boxes instead of programming. You describe the job, choose what information the user must supply, write the instructions, test it and share it. The agent then does that one job the same way each time.

• One job. "Turn a rough idea into a story" is a job. "Help with projects" isn't.

• Structured input. Form fields collect the details the agent needs, so people don't have to remember them.

• Written instructions. The prompt tells the agent its role, the steps and the shape of a good answer.

• A reviewer. A person reads the output before it's used.

• Shared access. Once published, the team uses it without touching the setup.

Agent, chatbot or workflow?

A custom agent sits between a chat and a fixed workflow. A chatbot answers whatever you ask, which is flexible but inconsistent. A workflow does the same steps every time but can't handle anything unexpected. A custom agent is a narrow assistant with a form in front of it. If you're deciding which you need, our guides on an AI agent for project management and an AI chatbot for project management explain the other two.

Step 1: pick one narrow job

The best first agent is boring. It repeats weekly, it follows a pattern and the output is easy to check. Good candidates in project work:

If you can't say how a person will check the output, the job isn't ready.

Step 2: define the form fields

This is where most builders go wrong. People skip the form and write one big prompt, then wonder why the agent keeps missing things. A form forces the user to supply what the agent needs.

• Ask only what the agent needs. Every extra field adds friction and the chance someone abandons it.

• Order fields naturally. Start with identifying details, then specifics, then optional extras.

• Mark required fields sparingly. Too many required fields frustrate people. Too few give you thin answers.

• Use choices where you can. A drop down for audience (customer, developer, manager) beats free text.

• Add a help line. A short hint under each field saves a lot of bad input.

An example form

Step 3: write the prompt

The prompt is the agent's instructions. Write it like a brief for a new colleague. Say who they are, what they're doing, what to use and what a good result looks like. Then refer to each form field by name, so the agent actually uses the information.

• Role. "You help a product owner write clear user stories."

• Task. "Write one user story from the idea provided."

• Inputs. "Use the idea, the type of user and the goal from the form."

• Format. "Use the As a, I want, so that format, then list three acceptance criteria."

• Rules. "If any detail is missing, ask one question instead of guessing."

• Limits. "Don't invent features the product doesn't have."

That last rule matters more than people expect. Left alone, an agent fills gaps with confident guesses.

Step 4: test and debug the output

Don't test with the example you used while writing the prompt. Use five real ones, including a messy one and one with missing details. Then compare what you got with what you'd have written yourself.

Change one thing at a time. If you change three, you won't know which one helped.

Step 5: publish and hand it over

• Pick the audience. Start with one team, not the whole company.

• Write a three line guide. What it's for, what to fill in, who reviews the output.

• Name an owner. Someone who looks after the prompt and reads feedback.

• Set permissions. Decide who can edit the agent and who can only use it.

• Collect feedback in week one. Short comments beat a long survey.

Security and governance basics

• Data access. Find out what the agent can read and narrow it.

• Sensitive input. Tell people not to paste passwords or personal data into free text fields.

• Review before use. Output should be checked by a person before it goes anywhere official.

• Version the prompt. Keep a note of what changed and why.

• Where it runs. Some teams need cloud, others need their own network.

How to measure success

• Time saved per use. Compare with doing the job by hand.

• Edit rate. How much reviewers change the output. Falling is good.

• Weekly users. Are people coming back, or did they try it once?

• Complaints. A short list of what annoys people tells you what to fix next.

Build, buy or generate?

How Sanplex fits

Sanplex is a full lifecycle project management tool and a Jira alternative for Agile, Waterfall and CMMI teams, built by EasySoft INC. Scrum, Kanban, stories, tasks, bugs, test case management, documents, product planning and reports all live in the one tool.

Sanplex Agent is the built in AI assistant. It writes story descriptions, creates bug reports from keywords and turns stories into test cases, and it's available in the Standard and Premium plans. Sanplex also documents General Agents. The General Agents guide is the place to check the exact steps and which plans include them.

On price, Sanplex Free 4.0 is free forever for unlimited users. Standard is $49.9 per user per year and Premium is $69.9 per user per year. The pricing page has the details, and plans change, so check the pricing page before you decide.

You can run Sanplex in the cloud or on your own servers. The on-premises option can sit on an internal network isolated from the internet.

Where Sanplex does not fit

This article describes the general way to build a no code agent. We haven't listed every Sanplex agent setting here, so use the guide for the exact steps. Agent features sit in paid plans, not Sanplex Free 4.0. And if you want agents that act across many tools outside your project work, a dedicated agent platform may suit you better.

A worked example

This is an illustration, not a case study. A product owner wants every story to start in the same shape.

• Requirements. One job: turn a rough idea into a story with three acceptance criteria. One reviewer: the product owner.

• Build. Five form fields, a role, a format and two rules: ask when unsure, don't invent.

• Test. Five real ideas, one of them deliberately vague. She notes where the agent guesses and tightens the rules.

• Deploy. She publishes it to the product team with a three line guide.

• Maintain. Each month she looks at edits and feedback, then updates the prompt and notes the change.

Common mistakes to avoid

• Building a do everything agent. Narrow beats broad.

• Skipping the form. A long prompt with no fields gets thin input.

• Testing on one example. Use five, including a bad one.

• No reviewer. The agent drafts. A person decides.

• Never updating the prompt. Needs change, so should the instructions.

Checklist before you publish

• One clear job written in a sentence

• Form fields with hints and sensible required settings

• A prompt that names every field

• Five real tests passed

• A named reviewer and an owner

• A short user guide

• A date to review feedback

Try it on one job

Pick the one task your team repeats most, then see how the tool supports it. You can start with Sanplex Free 4.0 to set up your project, then check the guide for agent options. The whole product is at sanplex.com.

Frequently asked questions

Can you build an AI agent without code?

Yes. No code builders let you describe the job, define form fields, write instructions, test and publish an agent through forms and text boxes.

How do I build a custom AI agent without code?

Pick one narrow job, define the form fields, write a prompt that uses them, test on five real examples and publish it to one team first.

What are form fields in an AI agent?

They're the inputs a user fills in before the agent runs, such as an idea, an audience or a deadline. They make sure the agent gets consistent, structured information.

How do I debug an AI agent's output?

Test with several real examples, compare with what you'd have written, and change one thing at a time. Common fixes are naming each field in the prompt and adding rules against guessing.

What makes a good agent prompt?

A clear role, one task, named inputs, a format example, rules for missing details and a limit on invention. Write it like a brief for a new colleague.

How many agents should a team build?

Start with one. Add more only when the first one saves time and has an owner.

Is a no code AI agent safe for company data?

It can be, if you control what it can read, tell people what not to enter and review the output. Check where the tool runs and who can edit it.

How much does Sanplex cost?

Sanplex Free 4.0 is free forever for unlimited users. Standard is $49.9 per user per year and Premium is $69.9 per user per year. Check the pricing page, since plans change.

Does Sanplex have agents?

Sanplex Agent, the AI assistant, writes story descriptions, creates bug reports from keywords and turns stories into test cases, and is available in Standard and Premium. The General Agents guide covers the rest.

Keep reading

• AI agent for project management

• General Agents guide

• AI user story generator

• Sanplex pricing

• AI bug report generator