Agentplace

AI agent for documentation consultancy owners

Your AI handbook creation agent. Your onboarding handbook has one consistent process.

Create an AI handbook creation agent with its own web page. Give your clients a coherent handbook assembled from the client's actual policies and examples.

Your method. Their task. A result they can use.

YYour documentation consultancyRRiley's session

RILEY'S HANDBOOK CREATION SESSION

Your onboarding handbook has one consistent process

Riley's illustrative result. First week. The sequence follows the supplied onboarding checklist. IT is the named owner in every relevant section.

Access ownerEquipment allowance
CURRENT RESULTFirst week

The sequence follows the supplied onboarding checklist.

The result and its supporting details

SECTIONFirst week

Section

The sequence follows the supplied onboarding checklist.

RESOLVED CONFLICTAccess owner

Resolved conflict

IT is the named owner in every relevant section.

OPEN DECISIONEquipment allowance

Open decision

The draft leaves the policy question visible.

EXPORTVersioned handbook

Export

The accepted chapters are assembled into one document.

Refine this resultExplain the reasoningPrepare my selected version
Riley, what would you like to change?
01

Your client starts a conversation.Your client describes the task through text or voice.

02

The page becomes their result.The agent makes the whole page the current result.

Illustrative preview
Vlad Yanch

Template by Vlad Yanch

  • ~15-20 minFirst demo
  • ~2-4 hoursWorking agent
  • 1 clickPublish

Overview

An AI handbook creation agent is a customer-facing service that documentation consultancy owners can offer to an organization commissioning a handbook. It delivers a coherent handbook assembled from the client's actual policies and examples. The client opens the agent's own page and URL, supplies handbook purpose, audience, policies, procedures and unresolved decisions, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Resolve conflicting source rules before turning them into confident prose. Collect the real procedures, find contradictions and ask the client to resolve decisions the sources cannot settle. Assemble a usable document with consistent roles and cross-references. A changed policy should update dependent chapters without silently rewriting unrelated decisions. Change an approval owner and revise all dependent procedures and references. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task. The agent controls the content and components across its page so the result stays usable while the conversation continues.

Sell a handbook creation session or a documentation service package. Export the accepted handbook and unresolved decision list to the chosen workspace.

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

Handbook creation as a client service

An AI handbook creation agent is a customer-facing service that documentation consultancy owners can offer to an organization commissioning a handbook. It delivers a coherent handbook assembled from the client's actual policies and examples. The client opens the agent's own page and URL, supplies handbook purpose, audience, policies, procedures and unresolved decisions, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

Sell a handbook creation session or a documentation service package. Export the accepted handbook and unresolved decision list to the chosen workspace.

Clarify the brief

Ask about handbook purpose, audience, policies, procedures and unresolved decisions. Resolve conflicting source rules before turning them into confident prose. Keep confirmed facts separate from missing information, and use your service rules to ask only the follow-up questions that change the result.

Deliver the useful result

Collect the real procedures, find contradictions and ask the client to resolve decisions the sources cannot settle. Assemble a usable document with consistent roles and cross-references. A changed policy should update dependent chapters without silently rewriting unrelated decisions. Change an approval owner and revise all dependent procedures and references. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task.

Offer your service

Sell a handbook creation session or a documentation service package. Export the accepted handbook and unresolved decision list to the chosen workspace. Define the included work, any revision allowance and the specific continuation before clients begin. Do not invent policies, legal obligations or internal authority. Document storage and repository updates need authorized connections.

  • Your expert method
  • Text and voice
  • A personal result
  • Connected service tools

The same client session holds the brief, accepted decisions and current result. Resolve conflicting source rules before turning them into confident prose.

Why it's the best fit

Why an AI agent fits this client task

Deliver a coherent handbook assembled from the client's actual policies and examples while the client works with you online.

Resolve conflicting source rules before turning them into confident prose. A conversational service lets the client clarify the brief, inspect the current result and change a requirement in the same session. The value is the completed work and usable interface, not a chatbot that only describes what could happen.

Your AI handbook creation agent

One specialist. The whole client experience.

The extra workWith traditional tools

Websites, fixed-flow apps, and chat widgets.

01The client experience
Complete the client task

Resolve conflicting source rules before turning them into confident prose. Collect the real procedures, find contradictions and ask the client to resolve decisions the sources cannot settle. Assemble a usable document with consistent roles and cross-references. A changed policy should update dependent chapters without silently rewriting unrelated decisions.

With traditional toolsA page describing the service

A conventional service page can explain the offer and collect a request. Producing a coherent handbook assembled from the client's actual policies and examples still needs a separate service process. The client does not get that work merely by reading examples or clicking a contact button.

Revise the result in context

Change an approval owner and revise all dependent procedures and references. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task.

With traditional toolsA fixed form or preset workflow

A form can collect handbook purpose, audience, policies, procedures and unresolved decisions. Handling a changed requirement after the first result needs revision rules, connected state and an interface for the new version. Those parts must be designed around this specific service.

Keep the working result visible

The whole page can present a coherent handbook assembled from the client's actual policies and examples, relevant evidence and the current choice. Text or voice directs the work while the agent updates the useful components. The draft leaves the policy question visible.

With traditional toolsA separate chat widget

A chatbot can adapt its written answer. Keeping the actual document, comparison, media or service record synchronized with that conversation needs additional interface and action logic beyond a message transcript.

02Everything that comes with your agent
Use your expert method

Apply your documentation framework, approved policies, versioning rules and source hierarchy. Resolve conflicting source rules before turning them into confident prose. Your service rules determine which sources matter, what the agent may deliver and when the available evidence is insufficient.

With traditional toolsA general-purpose answer

A general assistant needs the client to provide the relevant method, source access and delivery rules. Without that setup it cannot reproduce the defined service just by recognizing the topic.

Work through text or voice

Clients can explain handbook purpose, audience, policies, procedures and unresolved decisions in natural language and clarify the parts that affect the result. The agent can adapt its explanation to their language while preserving the same agreed task and visible outcome.

With traditional toolsSeparate conversational and visual flows

A separate phone call, form and application can each help the client. Keeping their facts and decisions synchronized needs a deliberate connection between those experiences.

Deliver the selected service action

Sell a handbook creation session or a documentation service package. Export the accepted handbook and unresolved decision list to the chosen workspace. Do not invent policies, legal obligations or internal authority. Document storage and repository updates need authorized connections.

With traditional toolsA result copied between tools

Documents, email and specialist tools can deliver this work with the right setup. Maintaining the accepted version and action status across them is additional work the operator must coordinate.

Continue the same client session

Keep the selected brief, source references and accepted decisions available within the configured client session. Change an approval owner and revise all dependent procedures and references. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task. Returning clients can inspect the current version rather than compare disconnected answers.

With traditional toolsA fresh request without the prior decisions

A new contact form or unconnected chat can require the client to supply the same information again. Continuity depends on a shared record and the correct access rules, not on a personalized greeting.

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

How to create your AI handbook creation agent

Define the service, test a complete client request and publish its page. The times shown are planning estimates. Materials, tool access and testing determine the real setup effort.

  1. 01

    Add your service method and examples

    Provide your documentation framework, approved policies, versioning rules and source hierarchy. Specify the inputs needed for a coherent handbook assembled from the client's actual policies and examples, including handbook purpose, audience, policies, procedures and unresolved decisions. Add a successful example and a request that lacks necessary evidence so the agent can distinguish a usable result from an unsupported one.

  2. 02

    Test the result and a real revision

    In this fictional example, Riley uses the service with a defined brief. First week. The sequence follows the supplied onboarding checklist. IT is the named owner in every relevant section. Check the first result against the supplied facts. Then test this revision. Change an approval owner and revise all dependent procedures and references. Verify that the affected output changes while accepted details remain intact. Do not invent policies, legal obligations or internal authority. Document storage and repository updates need authorized connections.

  3. 03

    Connect delivery and publish

    Publish the agent's page and share its URL with clients. Sell a handbook creation session or a documentation service package. Export the accepted handbook and unresolved decision list to the chosen workspace. Configure only the source, payment and delivery connections needed for that offer. Test success, missing access and a failed external action so the page never claims a result that the connected system did not return.

Made for your kind of business

For documentation consultancy owners

Documentation consultancy owners

Sell a handbook creation session or a documentation service package. You define the expertise and standards behind the offer while clients can obtain a coherent handbook assembled from the client's actual policies and examples directly through your agent.

Service delivery managers

Use your documentation framework, approved policies, versioning rules and source hierarchy to make the delivered work inspectable and consistent. Resolve conflicting source rules before turning them into confident prose. Keep the team focused on exceptions and additional work rather than reconstructing the brief from disconnected messages.

Digital service founders

Build an offer around a coherent handbook assembled from the client's actual policies and examples. Start with one complete task and a defined customer group, then configure the evidence and tools that make that offer real. Do not invent policies, legal obligations or internal authority. Document storage and repository updates need authorized connections.

Start with your specialtyDocumentation consultancy ownersHandbook creationClient-facing digital services

Your service, your starting point

Your knowledge and the tools this service needs

The original task includes tools such as PostgreSQL, OpenAI, GitHub, Email, Slack. Choose and configure the providers required for your offer. These names describe connection options, not a claim that every integration or older model version is included or currently available. Choose the relevant apps below and connect the accounts your agent should use.

Start with my expertise

PostgreSQL

Keep the agreed service record. Requires a compatible API or MCP connection and the relevant account access.

GitHub

Supply the specialist source or action. Connect the relevant account and choose which records and actions the agent can use.

Box

Read the client's authorized source documents. Connect the relevant account and choose which records and actions the agent can use.

Google Drive

Use approved references and document templates. Connect the relevant account and choose which records and actions the agent can use.

PandaDoc

Prepare the client's selected document. Connect the relevant account and choose which records and actions the agent can use.

Docusign

Send an approved document for signature. Connect the relevant account and choose which records and actions the agent can use.

Integrations

Tools your AI handbook creation 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.

  • PostgreSQLKeep the agreed service recordCustom API
  • GitHubSupply the specialist source or action
  • BoxRead the client's authorized source documents
  • Google DriveUse approved references and document templates
  • PandaDocPrepare the client's selected document
  • DocusignSend an approved document for signature
Agentplace
Your AI
handbook creation agent

Your expertise.
Their personal result.
One connected service.

Start with your materials. Add the connections your client service needs.

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. Tools marked Custom API need a separate compatible API or MCP connection.

Browse the integration catalog

Connected agents

Connect to your ChatGPT or Claude agents

Your AI handbook creation agent stays with the client. It can pass a defined part of the work to your separately connected ChatGPT or Claude agents and bring their result back into the same service session. Your client does not need to manage those internal tools.

A supporting agent can check the accepted result against your documentation framework, approved policies, versioning rules and source hierarchy and return discrepancies with evidence. Your public agent keeps the client brief and current result in view.

Your clients Riley

Your onboarding handbook has one consistent process

The sequence follows the supplied onboarding checklist.
Agentplace
Your AI
handbook creation agent

Your expertise.
Their personal result.
One connected service.

Your back-office agents
ChatGPT
Claude
  • Check the result against your service method
  • Inspect source support for section
  • Prepare the selected delivery record
The client talks with your public AI agent. Connected supporting agents receive a defined task and return their work to that experience.

A few things to know

AI handbook creation agent FAQ

What is an AI agent for handbook creation?

An AI handbook creation agent is a customer-facing service that documentation consultancy owners can offer to an organization commissioning a handbook. It delivers a coherent handbook assembled from the client's actual policies and examples. The client opens the agent's own page and URL, supplies handbook purpose, audience, policies, procedures and unresolved decisions, and works through the task by text or voice. With Agentplace, you supply the expertise and configure the tools behind this service.

What does the client receive from this handbook creation agent?

A coherent handbook assembled from the client's actual policies and examples. Collect the real procedures, find contradictions and ask the client to resolve decisions the sources cannot settle. Assemble a usable document with consistent roles and cross-references. A changed policy should update dependent chapters without silently rewriting unrelated decisions. The current result is presented through the agent's own interface, so the client can inspect it and ask for changes instead of treating a message thread as the final deliverable.

How does this differ from a website with a chatbot?

Resolve conflicting source rules before turning them into confident prose. Collect the real procedures, find contradictions and ask the client to resolve decisions the sources cannot settle. Assemble a usable document with consistent roles and cross-references. A changed policy should update dependent chapters without silently rewriting unrelated decisions. The agent performs the configured service and updates the result on its whole page. A separate chat widget can answer questions, but connecting those answers to the active service record, visual result and tools takes additional implementation.

What knowledge and connections should I provide?

Provide your documentation framework, approved policies, versioning rules and source hierarchy, together with examples covering handbook purpose, audience, policies, procedures and unresolved decisions. The original task includes tools such as PostgreSQL, OpenAI, GitHub, Email, Slack. Choose and configure the providers required for your offer. These names describe connection options, not a claim that every integration or older model version is included or currently available. Do not invent policies, legal obligations or internal authority. Document storage and repository updates need authorized connections.

Can a client change the brief after the first result?

Change an approval owner and revise all dependent procedures and references. The agent revises the affected result and keeps accepted details in context instead of making the client restart the entire task. The agent explains the implications and keeps the accepted version distinct from a proposed revision.

Can I charge for this service?

Sell a handbook creation session or a documentation service package. Export the accepted handbook and unresolved decision list to the chosen workspace. Explain the service scope and configure the relevant payment or delivery provider before offering it to clients. Payment for the agent's work is distinct from third-party usage costs or a separate purchase.

Is this preview a live service?

No. It is a static fictional example. Client names, records, source observations and results shown in the preview are illustrative. Create your own agent, provide your knowledge and configure the required tools to offer this service.

What platform does the AI handbook creation 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.

Turn your expertise into a service clients can use

Your AI handbook creation agent.
Ready for the first client.

Create an AI handbook creation agent with its own web page. Give your clients a coherent handbook assembled from the client's actual policies and examples.

Create my AI agent