Ask the question that matters
Use the answers to determine which information belongs in this client's result.
AI agent for product development consultancies
Your AI product requirements agent. A product idea made testable.
Create an AI product requirements agent with its own page and URL. Help your clients receive a product requirements document with acceptance criteria and test scenarios tied to the agreed scope through conversation.
Specification detail, clarified through conversation.
01
Your client starts a conversation.Wren clarifies who may request the export.
02
Illustrative previewThe page becomes their result.The specification adds permission and failure behavior and leaves the unanswered file-retention decision visible.
- 10 minFirst demo
- 2-3 hoursWorking agent
- 1 clickPublish
Overview
An AI product requirements agent gives your clients a product requirements document with acceptance criteria and test scenarios tied to the agreed scope. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the user problem, actors, workflow, constraints, acceptance rules, and edge cases.
Your agent uses your product discovery method, PRD structure, test scenario patterns, and PDF export process. It asks the follow-up question that changes this result. Who may request an export, and what happens if file creation fails? The page keeps the relevant evidence, choices, and result together as the client responds.
Wren's team is defining an account export feature. The agent adds failed-export and permission cases after the client clarifies who may request the file.
Offer this as a defined digital service from your business. Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.
Start free with your business idea. Our AI builder can help you explore it, answer questions, and create your agent. No technical specification needed. Sign in to continue.
What you get
AI Product requirements agent for product development consultancies
An AI product requirements agent gives your clients a product requirements document with acceptance criteria and test scenarios tied to the agreed scope. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the user problem, actors, workflow, constraints, acceptance rules, and edge cases.
Offer this as a defined digital service from your business. Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.
Deliver the document
Keep user story, acceptance criteria, failure scenarios visible alongside the explanation.
Continue the client service
Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.
- Product requirements agent
- User story
- Acceptance criteria
- Failure scenarios
- Text and voice interaction
- Your own client URL
A generated specification does not show that the feature has been implemented or tested. Keep assumptions and unanswered product decisions visible.
Why it's the best fit
Why conversation matters for this service
Who may request an export, and what happens if file creation fails? That answer changes specification detail and the result your client receives.
Your agent uses your product discovery method, PRD structure, test scenario patterns, and PDF export process. It asks the follow-up question that changes this result. Who may request an export, and what happens if file creation fails? The page keeps the relevant evidence, choices, and result together as the client responds.
 Your AI product requirements agentOne specialist. The whole client experience. | The extra workWith traditional tools Websites, fixed-flow apps, and chat widgets. |
|---|---|
| 01The client experience | |
| Understand the real request Ask about the user problem, actors, workflow, constraints, acceptance rules, and edge cases. Use the answers to determine which information belongs in this client's result. | With traditional toolsA service description A service page can describe product requirements agent. The client still needs to resolve this question before receiving a useful result. Who may request an export, and what happens if file creation fails? |
| Keep revisions consistent Wren's team is defining an account export feature. The agent adds failed-export and permission cases after the client clarifies who may request the file. The working result changes from happy-path feature brief to requirements and failure cases. | With traditional toolsA fixed form A fixed form records the initial answer. Changing specification detail requires the affected sections and supporting records to be updated together. |
| Show the work and its sources Present a product requirements document with acceptance criteria and test scenarios tied to the agreed scope. Keep user story, acceptance criteria, failure scenarios visible alongside the explanation. | With traditional toolsA separate chat widget A standalone chat can explain a topic. Delivering a product requirements document with acceptance criteria and test scenarios tied to the agreed scope also needs the source records, relevant tools, and a visible result the client can inspect. |
| 02Everything that comes with your agent | |
| Your service method Use your product discovery method, PRD structure, test scenario patterns, and PDF export process. | With traditional toolsSeparate reference documents The client or service team has to find the applicable rule and carry it into the result. |
| A useful follow-up Who may request an export, and what happens if file creation fails? Preserve the client's answer with the result. | With traditional toolsAnother message exchange The answer about specification detail may sit in a separate email or call note. |
| Connected delivery Pass the completed document and its source context through your configured delivery process. | With traditional toolsManual transfer Someone must assemble the result and its supporting detail before sharing it. |
Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.
How it works
Create your AI product requirements agent
Start with one defined client service and test the choices that change its result. Test how the client changes happy-path feature brief to requirements and failure cases. The result should preserve the supporting context when it updates.
- 01
Add your service knowledge
Provide your product discovery method, PRD structure, test scenario patterns, and PDF export process. Include a representative client input and a completed document so the expected result is clear.
- 02
Test the meaningful change
Test the change from happy-path feature brief to requirements and failure cases. Check that the affected specification detail and its explanation update consistently. A generated specification does not show that the feature has been implemented or tested. Keep assumptions and unanswered product decisions visible.
- 03
Publish your client agent
Publish the agent at its own URL and share it with clients who need a product requirements document with acceptance criteria and test scenarios tied to the agreed scope. Configure Document export and the delivery or follow-up connections that belong to your service.
Made for your kind of business
Built for product development consultancies
Product development consultancies
Offer a product requirements document with acceptance criteria and test scenarios tied to the agreed scope without rebuilding the same explanation for each client.
Client service leads
Resolve specification detail with the client and carry the source details into the existing service process.
Start with your specialtyProduct development consultanciesClient service teams
Your service, your starting point
Your method and source material
The service starts with your product discovery method, PRD structure, test scenario patterns, and PDF export process. Choose the relevant apps below and connect the accounts your agent should use.
Create my AI agentGitHub
Read permitted code and project issues. Connect the relevant account and choose which records and actions the agent can use.
Figma
Review shared interface designs and comments. Connect the relevant account and choose which records and actions the agent can use.
Asana
Create agreed project tasks for your team. Connect the relevant account and choose which records and actions the agent can use.
Notion
Use the client's requirements and documentation. Connect the relevant account and choose which records and actions the agent can use.
Calendly
Schedule a project scoping review. Connect the relevant account and choose which records and actions the agent can use.
Gmail
Deliver the agreed project plan. Connect the relevant account and choose which records and actions the agent can use.
Integrations
Tools your AI product requirements agent can connect
Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.
- GitHubRead permitted code and project issues
- FigmaReview shared interface designs and comments
- AsanaCreate agreed project tasks for your team
- NotionUse the client's requirements and documentation
- CalendlySchedule a project scoping review
- GmailDeliver the agreed project plan
Your AI
product requirements agent
product requirements agent
Your expertise.
Their personal result.
One connected service.
Go further with 1,000+ integrations.
Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.
Available connections depend on the app's API and your account permissions.
Browse the integration catalogConnected agents
Connect to your ChatGPT or Claude agents
The client works with your Agentplace product requirements agent. If you already use other agents or automations, connect only the supporting tasks that belong to this service.
A configured supporting workflow can read the agreed product scope, then map acceptance and failure scenarios. It returns its output to the client-facing agent for the same service.
Your clients Wren
Scope that a team can test
Retention of generated files remains an open product decision. Your AI
product requirements agent
product requirements agent
Your expertise.
Their personal result.
One connected service.
Your back-office agents
ChatGPT
Claude
- Read the agreed product scope
- Map acceptance and failure scenarios
- Return the PRD and test cases
A few things to know
AI Product requirements agent FAQ
What is an AI agent for product requirements?
An AI product requirements agent gives your clients a product requirements document with acceptance criteria and test scenarios tied to the agreed scope. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the user problem, actors, workflow, constraints, acceptance rules, and edge cases.
What does the client receive?
A product requirements document with acceptance criteria and test scenarios tied to the agreed scope. Wren clarifies who may request the export. The specification adds permission and failure behavior and leaves the unanswered file-retention decision visible. The preview is a fictional example.
What should I provide before launch?
Provide your product discovery method, PRD structure, test scenario patterns, and PDF export process. Define the expected inputs, the result format, and the questions that require more information. Test the service with happy-path feature brief and requirements and failure cases so the changed requirement is reflected throughout the result.
How does this differ from a form or chat widget?
Your agent uses your product discovery method, PRD structure, test scenario patterns, and PDF export process. It asks the follow-up question that changes this result. Who may request an export, and what happens if file creation fails? The page keeps the relevant evidence, choices, and result together as the client responds. The AI agent controls the whole result page, so the current document, supporting detail, and next question remain visible together.
Which tools can my AI agent connect?
GitHub can read permitted code and project issues. Figma can review shared interface designs and comments. Asana can create agreed project tasks for your team. These are examples from Composio's catalog of over 1,000 integrations. Choose the relevant apps and account permissions for your service. Clients keep working with your AI agent on its own page.
What should this service not claim?
A generated specification does not show that the feature has been implemented or tested. Keep assumptions and unanswered product decisions visible.
Can this support my existing business model?
Offer this as a defined digital service from your business. Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.
Is the preview live?
No. The preview illustrates Wren's fictional experience. Your working agent needs your materials and the connections you choose. The displayed launch times are planning estimates for a demo and a configured service, not a delivery guarantee.
What platform does the AI Product requirements agent run on?
It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.
AI product requirements agent
Create your AI product requirements agent.
A product idea made testable.
Help clients receive a product requirements document with acceptance criteria and test scenarios tied to the agreed scope using your method and chosen tools.
Create my AI agent
Create my AI agent