Agent.ai Has Moved On: A 30-Day Checklist to Rebuild Your Workflows

If you used agent.ai to run research, prospecting, content, or reporting tasks, you have probably noticed that the platform no longer works the way it did. The agents you relied on may be hard or impossible to reach, and the workflows built around them are either paused or quietly failing. The good news is that most of the thinking behind those workflows can be recovered, and a focused month is usually enough to get the important ones running again. The risk is waiting, because the details you need to rebuild fade quickly, and some steps, like reconnecting tools, take longer than they look. This 30-day checklist breaks an agent.ai migration into four short phases so you can rebuild in order of business impact rather than all at once.

What Changed for Agent.ai Users

Agent.ai started as an open network where people could discover, run, and share AI agents. The situation today looks very different, and understanding what actually changed helps you decide what to save, what to rebuild, and where to rebuild it. Here is what can be confirmed about where things stand.

Where the Agent.ai Address Leads Now

Agent.ai launched at INBOUND 2024, and CX Today at the time was a professional network for AI agents. Today, the agent.ai address leads to BuilderPack, a HubSpot Labs toolkit that adds AI actions to HubSpot's Agent Builder. For users, that means the open agent network they knew is no longer the destination, and workflows that depended on it need a new home.

Why HubSpot's New Agent Tools Are Not a Direct Replacement

HubSpot launched Agent Hub and Agent Builder in public beta in July 2026 as a place to build and manage agents inside a HubSpot account. That works well for HubSpot customers, but it is not an open network. According to the HubSpot Knowledge Base, its Agent Marketplace only lists HubSpot's pre-built agents, and custom agents built in Agent Builder cannot be listed there.

Who Is Affected and What Is at Stake

The user base was large. Groath reports that agent.ai had around 2 million users as of INBOUND 2025, with about 26,000 people building their own agents and roughly 1,800 agents published for community use. That covers two groups: people who ran other creators' agents in daily work, and creators whose published agents reached users through the network.

Why a 30-Day Plan Beats Waiting It Out

It is tempting to wait and see whether things come back or to rebuild everything in one weekend. Neither approach works well. A short, structured plan gives you time to save what matters, pick a platform carefully, and rebuild in the right order, without letting critical workflows stay offline for months.

What Moves Easily and What Has to Be Rebuilt

Not everything in an agent workflow is equally portable. StackOne notes that prompts, node configuration, branching logic, and retry settings can usually be exported or re-expressed elsewhere. What does not move is anything tied to the old platform itself, such as app connections authorized against its accounts and the permission rules that decided what an agent could read or write.

The Hidden Delay: Reconnecting Integrations and Permissions

Rebuilding the workflow logic is the fast part. The slow part is reconnecting the tools it depends on. StackOne puts it plainly: a team can port a workflow graph in an afternoon and still wait six weeks for the grants behind it. If your workflows touch company systems that need security review, start those requests early in your 30 days.

The Cost of Leaving Workflows Paused

Every paused workflow turns back into manual work, and manual work tends to become the new default if it lasts long enough. Stalled AI projects rarely restart on their own: Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, citing costs, unclear value, and weak risk controls. A dated plan keeps your migration from becoming one of them.

Days 1 to 7: Inventory and Triage

The first week is about capturing what you had before the details fade. You are not rebuilding anything yet. The goal is a complete list of the agents and workflows you relied on, the materials you need to recreate them, and a clear order for rebuilding them.

List Every Agent and Workflow You Relied On

Write down every agent you used, whether you built it or ran someone else's, and the workflow it supported. For each one, note what triggered it, what inputs it needed, which tools it connected to, what it produced, and who used the output. A shared spreadsheet is enough. Include agents you used only occasionally, since those are the easiest to forget.

Save Prompts, Instructions, and Example Outputs

Collect everything you can still access: prompts, instructions, input templates, and above all real examples of good outputs. Examples become your test cases later. Digital Applied points out that instructions and tool definitions can usually be recreated, while credentials and permissions always have to be reconnected from scratch, so record which accounts each workflow used.

Rank Workflows by Business Impact

Sort your list into three groups: workflows that directly affect revenue or customers, workflows that save meaningful time each week, and nice-to-have automations. Rebuild in that order. Most people find that a handful of workflows carried most of the value, and focusing on those first gets you back to normal much faster than rebuilding the whole catalog.

Days 8 to 14: Choose Your New Platform

With your inventory in hand, the second week is about picking where to rebuild. The right platform depends on what you ran on agent.ai, but a few criteria matter for almost everyone. Choosing carefully now saves you from repeating this migration later.

Must-Have Criteria for a Replacement

Look for a platform that lets you build agents without heavy engineering, connects to the tools on your list, and offers ready-made agents for tasks you do not want to rebuild yourself. If you published agents, confirm that custom agents can be listed publicly. StackOne also suggests asking where integration grants live and whether logs stay accessible if the platform changes.

Pricing Questions to Settle Before You Commit

Pricing is where many agent platforms create surprises. G2 found that 33% of recent AI agent builder reviews mention pricing as a dislike, often because costs are unpredictable, and Zylo reports that 78% of IT leaders faced unexpected charges tied to consumption-based or AI pricing. Ask what one run costs, whether credits expire, and whether there is a subscription.

Run a Small Pilot Before Moving Everything

Before committing, rebuild one small workflow on your shortlisted platform and run it against the examples you saved in week one. A pilot tells you more than any feature page: how long the rebuild took, whether the outputs match your standard, and what a run actually costs. If the pilot goes well, you have your platform. If it does not, you have lost days, not weeks.

Days 15 to 24: Rebuild and Reconnect

The third phase is the actual rebuild. Work down your ranked list, starting with the workflow that matters most, and resist the urge to redesign everything along the way. The aim is to restore what worked first and improve it later.

Rebuild Your Highest-Impact Workflow First

Start with the top workflow from your triage list and rebuild it as close to the original as possible, using your saved prompts and instructions. Once it works, move to the next one. Keeping the first rebuilds faithful to the originals makes it easier to compare results and spot problems, since you are changing the platform, not the process.

Reconnect Tools and Re-Grant Permissions

For each rebuilt workflow, reconnect the tools it depends on and grant only the permissions it actually needs. Digital Applied recommends verifying each tool connection by checking names, inputs, and expected results, rather than assuming a connection works because it was accepted. Any request that needs approval from IT should already be in motion from week one.

Test Against Your Saved Example Outputs

Run each rebuilt workflow on real inputs and compare the results with the example outputs you saved. Adjust prompts and settings until the quality matches or beats what you had before. Digital Applied suggests confirming each migration with one bounded test before trusting it with ongoing work, which is a sensible rule for every workflow on your list.

Days 25 to 30: Switch Over and Stabilize

The final phase turns your rebuilt workflows into your new normal. It is about closing loose ends, making sure nothing runs twice or gets missed, and setting up a simple routine so the new setup stays healthy after the migration is over.

Reconcile Pending and Scheduled Work

Check whether any work was in progress or scheduled when your old workflows stopped. Digital Applied advises reconciling pending actions and completed external actions against the systems they touched before enabling a new agent, so you do not send the same email twice or skip a report. Then set your new schedules and confirm each workflow has a single owner.

Document the New Setup

Write a short record for each workflow: what it does, which agent runs it, what it connects to, who owns it, and what a good output looks like. This takes an hour and saves days if you ever need to adjust, hand over, or move a workflow again. It also makes it much easier for teammates to trust and use the new setup.

Set a Review Point for Month Two

Put a review on the calendar about 30 days after switch-over. Check which workflows are running reliably, what they cost, and which remaining items from your inventory are worth rebuilding. Many teams find this is also the right moment to improve workflows they rebuilt faithfully in the rush, now that the basics are stable.

Rebuilding Your Agent.ai Workflows on Caywork

Caywork is an open AI agent marketplace where people can run ready-made agents, build their own, and publish them for others to use. For former agent.ai users, it covers both sides of what the network offered: a place to find agents for daily work and a place for creators to keep publishing. Here is how it fits the checklist above.

What Caywork Offers Former Agent.ai Users

According to Caywork Creator, agents are built in a visual interface with triggers, agent cores, pre-built tools, and logic nodes, with no coding required, and the platform provides more than 20 AI models and over 70 integrated tools without needing your own API keys. On Caywork Pricing, credit packs are one-time purchases at $0.05 per credit, with no subscription and no expiry.

If You Published Agents, You Can Earn Here Too

Creators who lost their audience on agent.ai can publish on Caywork for free and set their own usage fee. For each run, action costs are covered first, Caywork takes a 25% platform fee on the remainder, and the creator keeps the rest. Published agents appear in the same marketplace where users already browse, so rebuilt agents can start reaching people again.

Start Your Rebuild on Caywork

The pilot step in week two is the easiest place to start. New Caywork accounts receive 50 free credits with no card required, which is enough to rebuild one small workflow, test it against your saved examples, and see what a run costs before you move anything else.

Start your agent.ai migration with 50 free credits on Caywork: rebuild one workflow, test it, and move the rest when you are ready. <br>

Frequently Asked Questions About Agent.ai Migration and Caywork

The questions below cover what former agent.ai users ask most often when planning a migration. They focus on what can be recovered, how long the process takes, and how Caywork fits in. For the latest platform details, Caywork's pricing and creator pages are the most up-to-date references. <br> 1. Has Agent.ai Shut Down?

The agent.ai address now leads to BuilderPack, a HubSpot Labs toolkit for HubSpot's Agent Builder, and HubSpot's Agent Marketplace does not list custom agents. Whatever the formal status, if you can no longer reach the agents and workflows you relied on, the practical step is the same: save what you can and plan a migration. <br> 2. Can I Export My Agents From Agent.ai? Save anything you can still access, especially prompts, instructions, and example outputs. Workflow logic and prompts can usually be recreated on a new platform, but credentials and tool permissions never transfer and always have to be reconnected. That is why the checklist starts with an inventory instead of an export. <br> 3. How Long Does an Agent.ai Migration Take? Rebuilding the logic of a single workflow can take an afternoon, while reconnecting company tools that need security approval can take several weeks. A 30-day plan works well for most individuals and small teams, as long as approval requests start in the first week and workflows are rebuilt in order of impact. <br> 4. Can I Rebuild My Agent.ai Workflows on Caywork? Yes. Caywork's visual builder, pre-built tools, and supported AI models let you recreate most agent workflows without code, using the prompts and examples you saved. You can also check the Caywork marketplace for ready-made agents that already cover some of your tasks, which can shorten your rebuild list. <br> 5. What Does It Cost to Try Caywork?

Nothing to start. New accounts get 50 free credits with no card required. After that, credit packs cost $0.05 per credit at every pack size, with no subscription and no expiry. The cost of each run depends on the agent's usage fee, which its creator sets, so check that before running an agent at scale.

Final Thoughts

Losing a platform you relied on is disruptive, but it is also a chance to rebuild your most valuable workflows more deliberately than the first time. A clear 30-day plan, starting with an inventory and a small pilot, gets the essentials running again without a rushed, all-at-once move. Caywork gives former agent.ai users a place to do exactly that: an open marketplace of ready-made agents, a no-code builder for rebuilding your own, free publishing with a 75% creator share after action costs, and 50 free credits to test it all. If your workflows need a new home, start your rebuild on Caywork.

References

• BuilderPack, "AI Actions for HubSpot Agent Builder"

• Caywork, "AI Agent Marketplace"

• Caywork Creator, "Build an Agent. Get Paid When It Runs."

• Caywork Pricing, "Simple, Transparent Pricing"

• CX Today, "HubSpot Introduces Agent.AI: The Only Network of AI Agents"

• Digital Applied, "Moving an AI Agent: Which Session Data Can You Export?"

• G2, "What Buyers Really Think About AI Agent Builders"

• Gartner, "Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027"

• Groath, "The AI Agent Marketplace in 2026: When to Buy, When to Publish, and When to Ignore It"

• HubSpot, "Meet Agent Hub and Agent Builder"

• HubSpot Knowledge Base, "Install Agents From the Agent Marketplace"

• StackOne, "AI Agent Builder Sunset: What IT Teams Must Rebuild"

• Zylo, "Zylo's 2026 SaaS Management Index"