Our latest updates

Agent-ready workspace databases

UpdateMate now has workspace databases built for agents.

You can create structured SQL databases, inspect tables, ask questions through database chat, and let agents use the data as part of their workflows.

Databases include table previews, expandable rows, custom query views, descriptions, and snapshots before larger changes.

That means agents can work from live structured data instead of fragile spreadsheets or one-off exports.

Share richer documents and reports

UpdateMate documents are easier to share and read.

Agents can create documents and reports that include richer formatting, tables, charts, and HTML output.

Shared documents can be opened through a dedicated link, making it simpler to send agent results to teammates, stakeholders, or customers without copying everything into Slack or email.

This makes UpdateMate a better place for recurring reports, summaries, and longer analysis outputs.

Chats are now a workspace-wide command center

Chats are now a first-class workspace area in UpdateMate.

You can use workspace chat to ask questions across your agents, logs, documents, connectors, databases, groups, and users.

Chats can also stay attached to specific agents or databases, so the conversation keeps its context while you refine a process, debug a run, or inspect data.

Unread states and status updates make it easier to see when something needs your attention.

Add attachments to chat

You can now add attachments to chat messages.

This makes it easier to give agents the context they need without pasting long text or manually moving data around.

Attach files when you want an agent to review source material, use a document as context, or build a workflow around the data you already have.

Attachments make chat a better starting point for real work, not just short instructions.

Agents can work with browser-based tools

Agents can now work with more of the tools your business actually uses.

We added browser tooling and password connector support so agents can interact with systems that are harder to reach through a simple API key or OAuth flow.

This opens the door for workflows where agents need to read pages, navigate browser-based tools, or use authenticated systems as part of a process.

It makes UpdateMate useful for more internal operations work, especially when the tools involved were not built for automation.

A better connector experience

We have rebuilt the connector experience.

Connectors now have a dedicated page, clearer setup flows, better error messages, and support for more authentication types.

You can set up API key connectors, OAuth connectors, Intercom, Google services, and password-based connectors, then reuse them across agents.

Credentials stay stored securely and out of agent code and logs, while agents get the access they need to finish real work.

Clearer logs for every agent run

Agent logs are now much easier to read.

Logs show each run as a timeline with steps, live progress, generated documents, errors, and summaries of what happened.

Errors can include expandable details and a path back to the agent chat, so you can ask the agent to explain or fix the problem.

Logs also support markdown and richer output, which makes long-running or complex agents easier to monitor and debug.

Sign in with Google

You can now use Google Sign-In with UpdateMate.

This makes login and signup faster for teams that already use Google Workspace.

We also improved the authentication flow with clearer password and magic-link options, so it is easier to choose how you want to access your workspace.

Less account friction means you can get to building agents faster.

A new inbox for agent activity

UpdateMate now has an inbox for agent activity.

The inbox helps you see which conversations need attention, when an agent is thinking, and when something has failed.

Unread counters and real-time status updates make it easier to keep up with the work your agents are doing.

When an agent run fails, the inbox can bring that back to the right user so it does not disappear silently in the background.

More reliable long-running agents

We have made agent runs more reliable.

Long-running agent work now survives more backend restarts, stuck statuses are handled better, and agents can be stopped when they are taking too long or heading in the wrong direction.

When something fails, UpdateMate records the error in the log and gives you a path back to the agent chat so you can fix and rerun it.

This makes scheduled and background agents safer to use for real operational work.

Better agent building through chat

Agent building through chat is now much stronger.

You can ask what an agent does, request changes, add error handling, refine outputs, and keep iterating until the workflow behaves the way you want.

Under the hood, UpdateMate is better at planning changes, editing agent code safely, checking its work, and updating the agent description so it stays self-documenting.

This makes agents easier to maintain as your process changes.

Authenticated feed and PWA support

We added an authenticated feed view and PWA support.

This makes it easier to access agent outputs and document updates from inside the app, including on mobile.

The feed can be opened in the app layout, and mobile navigation has been improved so documents and updates are easier to review.

It is a small step toward making UpdateMate feel more like a daily operating layer for your business.

Organize agents into groups

You can now organize agents into groups.

Groups make it easier to keep agents separated by team, process, or area of work, like Sales, Marketing, Support, Finance, or Operations.

The sidebar supports collapsible groups and drag-and-drop organization, so your workspace stays manageable as you add more agents.

This is especially useful once agents become part of day-to-day operations across multiple teams.

Documents can include charts and structured reports

Agents can now create richer documents.

Documents can include structured reports, tables, and charts, making them more useful for dashboards, weekly updates, customer analysis, and internal summaries.

You can open documents from agent runs and share the output when teammates need to review what an agent produced.

This turns agents from simple chat responders into tools that can create reusable business artifacts.

Run agents on a schedule

Agents can now run automatically on a schedule.

You can run agents manually, or schedule them to run every minute, every hour, every day, every weekday, on specific days, or on monthly schedules.

This is what makes agents useful for recurring work like daily checks, weekly reports, data cleanup, monitoring, and operational handoffs.

Instead of remembering to run a process, you can let the agent run it for you.

Live status for long running reports

Sometimes loading and analyzing data can take some time.

But we humans are rarely patient when it comes to waiting.

We've added a live status for long-running reports so they are easier to follow.

This way, you can always see how far we are in the analysis.

ShopifyQL Integration

We just added support for ShopifyQL 🥳

ShopifyQL is a SQL-like query language for easily getting any kind of analysis and stats from your Shopify store.

Our integration allows you to create several metrics available to your AI Agents for analysis.

A metric can be a single number like yesterday's conversion rate or a table like total revenue over the last 12 months or last week's top sellers.

Only your imagination and ShopifyQL skills are the limit.

GPT-4o-mini now avaliable in our free plan

We have just added OpenAI's model gpt-4o-mini to our free plan.

Previously, only gpt-3.5-turbo was available for free users, but with its context window being only 16k tokens, many real-world use cases were not possible to test out simply due to them requiring more data to be analyzed by the model.

A context window is how much data a model can work on at once. The larger the context window, the more data a model can analyze.

Tokens are how generative AI breaks down data - for text data, a token is roughly a short word, e.g., "the", "from", etc. How exactly tokens are computed varies from model to model.

The benefits of gpt-4o-mini

• With a context window of 128k, it can analyze just as big data loads as the flagship model gpt-4o, giving you a more accurate experience when testing your AI agents.
• Being part of the gpt-4-class of models, it is significantly smarter than gpt-3.5-turbo.
• It is a highly efficient model requiring very little compute, allowing you to run even more tests on your free plan.

So while gpt-4o-mini is not as smart as gpt-4o, it gives you a more accurate view of what your AI Agents can do for you while testing.

Try the new model right now.

HubSpot support conversations

Now you can get your AI Agents connected to all your support conversations in HubSpot with a single click.

This means that you can now get a full 360° view of what your customers are saying in both sales and support.

We have connected some of the most powerful support insights here.

Quick start with our most popular agents

Building an AI Agent from scratch can be a tall order—especially when we're at the cutting edge of human capabilities. Many of our customers are first movers, if not the very first, to use AI Agents to solve real problems.

But sometimes, it's nice to just get going instead of being first at everything 😅

So, we've created some great templates to start from when creating a new agent, based on what has been most popular among our customers.

One-click AI Agent Templates:

• Won deals analysis: Why do customers choose us? Analyze your won deals in your CRM to learn what makes your customers choose you.
• Lost deals analysis: Why do customers not choose us? Analyze your lost deals in your CRM to learn from your mistakes.
• Why do customers need support?: Why do customers reach out for support, and what should you fix to reduce your support load?
• Why do customers request refunds? Refunds directly impact your bottom line. Analyze why your customers request them to minimize your losses.
• C-level direct customer feedback: Always be aligned with your customers. Get weekly updates on what customers love about you and what you should change immediately.
• Team praise: Go home on a high note with a praise bot that shares your customers' best praise with your team at the end of the day.

You can also (as always) just build your own from scratch.

These are just the first ones to start out with. We will add more as we learn with you.

Filter Hubspot deals by real activity

Some of your most valuable data is the conversations your sales reps have with customers.

So we have added features to fine tune the data your agents work for.

Filter deals based on activity

• Get deals with calls made within the last 1, 2, 3, 5, 7, 14 and 30 days.
• Get deals with emails made within the last 1, 2, 3, 5, 7, 14 and 30 days.
• Get deals with meetings made within the last 1, 2, 3, 5, 7, 14 and 30 days.
• Get deals with notes made within the last 1, 2, 3, 5, 7, 14 and 30 days.
• Get deals with tasks made within the last 1, 2, 3, 5, 7, 14 and 30 days.

You can also choose to include all or none of the above and filter out deals with no activity meeting that filter.

This allows you to get good data for analytics of calls, emails and other conversations on a daily, weekly or monthly basis.

Filter deals based on pipelines

You can also filter deals on deal stages across all of your pipelines.

This allows you to eg take all won deals in different pipelines and analyse why customers bought from you.

Claude 3.5 Sonnet now avaliable

We have added Anthropics Claude 3.5 Sonnet model to UpdateMate.ai

Claude 3.5 Sonnet is a great model for working on code and structured data.

It comes with a 200k context window so it can be a great replacement for OpenAIs GPT-4o or GPT-4-Turbo models (that only have 128k context window) without sacrificing quality.

Share your updates with the world

We just made any update from UpdateMate.ai shareble with everyone.

Share with anyone ad-hoc

Any update can now be shared with a shareable link by just clicking the share button at the top right.

Easier to share big report in Slack or e-mail

Sometimes a long report can be hard to read in slack or email. It just gets overwhelming.

Now you can choose if a Agent should send everything directly or if the update should be shared with a link and then only a small summary in the email or Slack message.

Trigger AI Agents with webhooks

One thing is getting AI Agents to keep you updated on a weekly or a daily basis - another thing is getting them to help you in real time.

What is webhooks?

Webhooks is how different web applications talk to each other.

Eg a support system can send be set up to send a message to a webhook in another system each time a user sends a new message in chat.

Webhooks is how different applications send messages to each other.

AI Agntes can both receive and send webhooks

AI Agents in UpdateMate can now both receive and send messages with webhooks.

• AI Agents can be triggered to run by selecting their "schedudle" to be webhook. That gives you a unique webhook URL for that agent you can insert into whatever platform you want to.
• AI Agents can send their outout to any webhook and you can ask the AI agent for format its resonse as you like being it plain text, JSON, XML etc.

This way agents can act as middleware that allows you to analyse data in real-time as it happens.

Get alerted in real-time

The most common usecase is real-time alert. When X happens alert Y.

This could be an alert when customers are really angry in support that gets triggered and send a ping to a slack channel so everyone can be ready to help them.

HubSpot integration

We just added HubSpot to our list of official integration.

This enables you to export your deals from HubSpot with a few clicks.

Features

• Export deals by pipeline and stage.
• Export custom deal properties.
• Export deal calls.
• Export deal emails.
• Export deal notes.
• Export deal meeting notes.
• Export deal tasks.

GPT-4o-mini now avaliable

We have added OpenAIs GPT-40-mini model to UpdateMate.ai

GPT-40-mini is OpenAIs successor to GPT-3.5-turbo and the scaled down model of their flagship model GPT-4o-mini.

It comes with a 128k context window so it can be a great replacement for GPT-3.5-turbo that only had a 16k context window.

Also it comes with much improved language and reasoning features and at the lowest price we have seen for a LLM to date.

ProductBoard integration avaliable

You can now pull all your product feedback from ProductBoard directly into your AI agents.

Use this to keep your team up to date with product requests or map requests against support queries to identify what goes unreported.

Google Gemini models avaliable

You can now use Googles Gemini Flash and Pro models in your AI agents.

Why more models do you ask? Well where Gemini models really shine is their 1 million token context window!

That is 8x more than any of OpenAIs model.

These models are great for analysing huge amounts of customer conversations.

Hello, World

We are UpdateMate.AI - a platform for getting AI Agents to do your reporting for you.

Our goal is to remove the most boring part of work - reporting and at the same time give people better insights into their business and customers.

Lets go!