One journey from request to result
Clients describe what they need, explore a result, and ask for changes in the same experience. Your agent carries the details into the tools you connect, reducing repeated forms and manual handoffs.
AI agent comparison
Agentplace vs
Gumloop
Overview
Create an AI agent that works like a smart website with Agentplace. Customers can describe a need and refine a visual result directly with your agent. Gumloop provides shared agents that work across company systems and produce artifacts, making the choice depend on who uses and directs the experience.
By Vlad Yanch · Agentplace
Updated
Agentplace customer experience benefits
A personal experience
for every customer.
Your AI agent connects conversation, visual results, and actions throughout the customer’s task. Give it your business knowledge and rules so customers can explore, choose, buy, and get things done directly with it.
A personal experience on the whole page
Your agent adapts the questions, content, recommendations, and interface to each client. A new preference can change the plan, estimate, or options on the page as the conversation develops.
Text, voice, and UI working together
Clients can type, speak, and interact with the result on screen. These are different ways to work with the same agent. Connect phone and messaging channels to serve clients in more places.
Speak your client’s language
Your agent can respond in the client’s language and adapt its explanations and page content. It works through unclear requests and typos, helping more people use your service in their own words.
Pick up where each client left off
Keep preferences, decisions, and results in the client session so returning clients can continue their work. Configure reminders and follow-ups through connected channels to keep the next step moving.
Deliver your service around the clock
Let clients receive a plan, preliminary quote, lesson, or document even outside office hours. Charge for the work your agent delivers, or connect booking and team handoffs to your existing service.
The model at the center of the application
How an Agentplace
AI agent works.
The AI model directs the whole customer experience. It understands requests, decides what content and UI components to show, and uses connected tools to act. Your business knowledge, rules, and the customer’s current task guide those decisions.
Customer input Text, voice,
Text, voice,
and page interactions.
Customers type, speak, or make a choice on the page. Phone and messaging can also reach the agent through channels you connect.
Your Agentplace AI agentOne model coordinates
the next step.
It combines the request with saved context and your rules, then chooses what to ask, show, or do.
Business knowledgeSession memoryYour rules and tools
Coordinated output Dynamic UI,
Dynamic UI,
replies, and actions.
The agent updates the page, responds through the active channel, and uses your connected tools for tasks such as booking, payments, or CRM updates.
Personalization reaches the whole page.
A changed request can change the questions, recommendations, language, and visual result together. The agent selects the UI around what this customer needs now.
Text, voice, and UI share context.
Customers can switch input modes within the same web session without starting over. Other connected channels can continue the task when linked to that customer’s session.
The agent can keep work moving.
It saves progress, waits for connected tools, and resumes when an update arrives. A person joins when input, approval, or an exception requires their attention.
Why this changes the customer experience
A fixed website with a separate chatbot does not automatically coordinate its page, conversation, and business actions. That requires a shared decision layer and context. In Agentplace, the AI agent connects them from the start, so a customer’s request can change the experience itself.
Feature comparison
Agentplace vs Gumloop
features and customer experience.
Compare the client journey, the result, and the work needed to connect them.
| What matters |  AI agent for your clients | GumloopCompany agent workspace |
|---|---|---|
| What your client receives | An AI agent that delivers your service directly. Clients can receive and refine a trip plan, preliminary quote, lesson, document, or another personal result during their visit. | Offered Agents can prepare proposals, research, reports, and interactive artifacts. Your team decides how that work becomes a client service. [1][2] |
| The page is the response | Personalization covers the whole experience. The agent chooses and updates the questions, content, recommendations, and UI as the client changes their request. | Offered Publish dashboards, forms, and apps, including on a company domain. An artifact and its originating agent have separate access permissions. [2][3] |
| Text, voice, and visual interaction | Clients type, speak, or use the UI to direct the same agent. It responds in their language, asks useful questions, and turns unclear requests into a concrete next step. | Depends on the setup Agent chat supports follow-up work. Sharing an artifact alone does not grant the viewer access to its agent conversation. [2][3] |
| Your expertise and their context | Your knowledge and service rules guide each response. The client session retains preferences, decisions, and results so returning clients can continue the work. | Offered Company Brain brings business knowledge into agents. Shared knowledge, skills, and connected systems provide context for the work. [1] |
| Carry the work into your tools | Carry client details into connected payments, calendars, and CRM tools. Your team or other agents can continue with that context. Configure the channels and follow-ups your service needs. | Offered Connected applications and MCP tools let agents act across business systems. Interactive artifacts use the viewer's connected accounts. [3][2] |
| A service you can sell | Describe your business task, preview your agent, and publish its link. Offer the work it delivers as a paid digital service or include it in your existing offer. | Configure or build Shared agents and published artifacts provide distribution options. Design the access and delivery experience around the clients you intend to serve. [2][3] |
Our assessment compares the documented product experience with the service you want to offer. A different focus does not mean a capability is impossible. Connected tools and custom development can change the setup.
How Agentplace differs from Gumloop
Let customers change the result directly.
With Agentplace, your customer can discuss the event and revise the menu without asking your team to relay each change. The agent keeps the dishes, quantities, and preliminary price together on its page and asks for a choice when the budget cannot cover every preference. Gumloop can create interactive artifacts and use company knowledge to do substantial work. Its artifact and agent permissions are separate. Agentplace is the fit when the customer should conduct the whole planning session directly with your agent.
See the agent experienceA customer task in Agentplace and Gumloop
Help an event organizer revise the whole menu.
A caterer wants customers to explore dishes, portions, and price together before asking the team to confirm an event.
The initial request
Plan a buffet for 40 guests with a $2,000 food budget.
Then the customer changes the request
We now have 55 guests and most prefer vegetarian food. Keep the budget and make the buffet feel generous.
The menu adapts to the new event.
Your agent asks about the event and builds a proposal from your menu, portion rules, and prices. For the larger group, it clarifies priorities and proposes substitutions. Dishes, quantities, and the preliminary total change together on the page. If the constraints conflict, it explains the tradeoff and asks the organizer to choose. They can discuss options by voice or text without reentering the event details. Send the selected menu and agreed budget into your connected booking or team workflow.
See the illustrative templateHow the service
would work.
A Gumloop agent could use your menu data to prepare a proposal and publish an interactive artifact. For the organizer to change the guest list directly, configure both artifact and agent access and how the conversation refreshes the menu. Otherwise, your team would take the request and generate the revision.
This scenario describes an implementation choice, not a performance benchmark.
Recommended uses and business fit
When to choose
Agentplace or Gumloop.
When the agent delivers your client experience.
Customers should supply their own changes and receive the revised result in the same agent session, using your knowledge and rules.
When Gumloop fits your business.
Your team wants to delegate work to shared agents, use connected company data, and publish or share the artifacts those agents create.
Gumloop combines company knowledge, agent conversations, connected tools, and reusable skills. Its agents can create reports, dashboards, forms, and apps. Shared artifacts can also use a company domain, so this comparison goes beyond whether either product can display a web page.
- Teams sharing agents across sales, support, and operations
- Businesses turning connected company data into reusable tools
- Operators who need both agent conversations and published artifacts
Pricing and setup requirements
Agentplace and Gumloop
costs to consider.
Account for client access, usage, connected tools, and the work needed to keep the experience useful.
Start free.
Grow with usage.
Create and publish your first AI agent on the free plan. Paid plans add capacity. Scope payment processing, phone access, and any external services separately for your offer.
View current Agentplace pricing ↗Compare the current Gumloop plan with the complete client journey. Artifact data scripts consume viewer credits, so include the viewer experience in a pilot.
- Agent and tool usage
- Viewer accounts and artifact execution
- Time to configure client access and revisions
Frequently asked questions
Questions about
Agentplace vs Gumloop.
What is Agentplace?
Agentplace lets you create a customer-facing AI agent with its own page and URL. Clients talk to it by text or voice. Using your expertise and service rules, it delivers a personal result and updates the page as their request changes.
Can Gumloop publish an app on my domain?
Yes. Its August 2026 release notes describe company domains for shared dashboards, forms, and apps. Compare the actual client interaction and access rules, rather than assuming Gumloop only provides a workflow canvas.
Does a shared artifact include its Gumloop agent?
Artifact access does not automatically grant agent access. For client revisions, check both permissions and how the conversation connects to the published result.
Why choose Agentplace rather than share an AI-generated proposal?
A proposal is a useful output. Agentplace also gives the customer the agent that produced the working result, so they can keep shaping it. An organizer changes the guest list, discusses tradeoffs, and sees the menu and price adapt before sending the agreed event to your team.
Can I charge clients for the service?
Yes. You can offer planning, guided assessment, lessons, or other work delivered by your AI agent as a paid digital service. Configure the payment tools and access rules for your offer. You can also include the agent in an existing service or connect an advisor call and team handoff.
Sources and comparison method
Official sources
for this comparison.
Published by Agentplace. Our service criteria come from the template examples below. Competitor facts come from their official materials. Fit recommendations are our editorial assessment.
- Gumloop product overview
Company agents, shared knowledge, connected tools, and skills.
- Gumloop agent artifacts
Interactive outputs, access rules, persistent files, and viewer credits.
- Gumloop release notes
Company domains, MCP tools, and agent conversation updates.
- Gumloop pricing
Current plans for evaluating expected usage.
Your expertise can do more.
Create an AI agent
your clients can use.
Describe the service. Give your agent your knowledge and rules. Publish it and share the link.
Create my AI agent
Create my AI agent