How ChatGPT and Other AI Assistants Can Create Agentplace Builder Links Automatically

Most AI assistants stop at advice.

They tell you what kind of agent to build, maybe write a prompt, maybe suggest a workflow, and then leave you to copy everything into another tool by hand.

Agentplace supports a simpler pattern: an assistant can generate a direct link that opens the Builder with the instruction already attached.

That means ChatGPT, Claude, or any other capable assistant can do more than explain what to build. It can hand you a one-click URL that starts the build flow in Agentplace immediately.

The core idea

Agentplace’s Builder accepts an instruction query parameter on the dashboard URL:

https://agentplace.io/admin/dashboard?create_new=true&instruction=...

If the instruction is URL-encoded, Agentplace can read it, create a new blank agent, and send that instruction into the Builder flow automatically.

In practice, this means an external assistant can generate a link like:

https://agentplace.io/admin/dashboard?create_new=true&instruction=Build%20a%20research%20agent%20that%20summarizes%20articles%20and%20extracts%20claims%20into%20a%20structured%20table.

When you open it, Agentplace can start from that request instead of making you paste it manually.

Why this matters

This turns a general-purpose AI assistant into an Agentplace entry point.

Instead of saying:

“Here is a prompt you can copy into Agentplace.”

the assistant can say:

“Open this link to build it in Agentplace.”

That small change matters because it removes friction at the exact moment when a user is ready to act.

It also creates a clean handoff between a “super assistant” and a dedicated builder workflow:

• the assistant helps formulate the task;
• Agentplace handles the actual build flow;
• the user lands directly in the product with the right starting instruction.

How the flow works in Agentplace

The pattern is straightforward:

1. An assistant generates a link to /admin/dashboard.
2. The link includes create_new=true.
3. The link also includes a URL-encoded instruction value.
4. Agentplace reads that value on load.
5. The app creates a new blank agent.
6. The Builder sends the instruction automatically.

So the assistant is not calling a private API or doing anything exotic. It is simply constructing the right URL for the existing Builder flow.

What an assistant should generate

The safest pattern is:

https://agentplace.io/admin/dashboard?create_new=true&instruction={URL_ENCODED_INSTRUCTION}

Where {URL_ENCODED_INSTRUCTION} is the exact build request, encoded for use in a URL.

For example, an assistant might turn this plain-language request:

Create a competitive research agent that compares three companies, extracts claims from their websites, groups the findings into themes, and returns a memo with open questions and hypotheses.

into this link:

https://agentplace.io/admin/dashboard?create_new=true&instruction=Create%20a%20competitive%20research%20agent%20that%20compares%20three%20companies%2C%20extracts%20claims%20from%20their%20websites%2C%20groups%20the%20findings%20into%20themes%2C%20and%20returns%20a%20memo%20with%20open%20questions%20and%20hypotheses.

Good use cases

This works especially well when the external assistant is helping the user define the task, but Agentplace is the better place to build and iterate the actual agent.

Examples:

• research agents;
• support agents with integrations;
• sales follow-up agents;
• internal knowledge assistants;
• structured analysis agents;
• workflow-specific assistants with custom UI or triggers.

An assistant can ask the user a few clarifying questions, synthesize the intent, and then output a ready-to-open Agentplace link.

A good prompt format for external assistants

If you want ChatGPT or another assistant to produce high-quality Agentplace links, ask it to do two things:

1. write the instruction in plain language for the Builder;
2. output a final Agentplace URL with the instruction URL-encoded.

For example:

Help me define an agent idea. When you have enough detail, generate an Agentplace Builder link using:
https://agentplace.io/admin/dashboard?create_new=true&instruction={url_encoded_instruction}
Return both the plain instruction and the final link.

That gives you something useful even before the user signs into Agentplace.

This is more than a convenience feature

It creates a practical bridge between general assistants and specialized agent-building software.

A super assistant can:

• refine the user’s idea;
• choose the right scope;
• write a strong initial instruction;
• generate the Agentplace link;
• hand the user into a builder designed to continue from there.

That is a much better workflow than leaving the user with a wall of text and a vague “now go build it.”

The bigger implication

As AI assistants become better at task formulation, more products should accept structured handoff links like this.

Agentplace already fits that pattern well because the Builder starts from an instruction anyway. A URL parameter is a natural way to pass that starting context in.

So if you’re building with ChatGPT, Claude, or another assistant, you do not have to stop at “here’s an idea.” You can let the assistant generate a working Agentplace Builder link and move straight into execution.

Try it

Open Agentplace with a URL in this format:

https://agentplace.io/admin/dashboard?create_new=true&instruction=Build%20an%20AI%20research%20agent%20that%20summarizes%20sources%2C%20extracts%20claims%2C%20scores%20confidence%2C%20and%20returns%20a%20memo%20with%20hypotheses.

Then replace the encoded instruction with whatever workflow you want to build next.