Beamer

Product announcements managed through conversation

Your AI agent integrates with Beamer to publish changelog entries, retrieve post engagement, and manage announcement categories. When product teams need to communicate updates or analyze announcement performance, the agent handles Beamer operations through natural language.

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Changelog operations your agent handles

From post counting to engagement tracking, these Beamer actions manage your product announcements when teams need user communication.

Count Posts

Product manager reviews announcement frequency. Your AI agent calls Beamer's count posts endpoint with date and category filters, retrieves total post counts matching criteria, and summarizes publishing activity.

Get Feed Content

Team reviews recent announcements. Your AI agent calls Beamer's get feed endpoint, retrieves posts with titles, content, and publish dates, and presents the changelog for review.

Retrieve Notifications

User checks for unread updates. Your AI agent calls Beamer's notifications endpoint with user context, retrieves unread announcements, and optionally marks them as read.

Get Post Comments

Product reviews user feedback on updates. Your AI agent calls Beamer's comments endpoint with post ID, retrieves user reactions and comments, and summarizes sentiment on announcements.

Track Post Reactions

Marketing measures announcement reception. Your AI agent calls Beamer's reactions endpoint with post ID, retrieves positive, neutral, and negative reactions, and calculates engagement metrics.

Access Category Info

Team organizes posts by type. Your AI agent calls Beamer's category endpoint, retrieves available categories like New, Fix, and Improvement, and helps classify announcements appropriately.

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Use Cases

Product communication in action

Real scenarios where AI publishes announcements, tracks engagement, and manages changelogs through Beamer's notification platform.

Release Announcement Publishing

Engineering ships a new feature and product needs to announce it. Your AI Agent receives feature details, calls Beamer's API to create the changelog post with appropriate category, and publishes the update to users. Announcement that required dashboard login happens through quick conversational request.

Quarterly Engagement Report

Product prepares executive summary of user communication. Your AI Agent calls Beamer's count posts and reactions endpoints with quarterly date filters, aggregates engagement metrics across announcements, and summarizes which updates resonated most. Reporting that required manual data compilation happens through natural language query.

User Feedback Collection

Product manager reviews reception of controversial feature change. Your AI Agent calls Beamer's comments and reactions endpoints for the announcement post, retrieves user feedback and sentiment distribution, and highlights key concerns. Feedback review that required dashboard navigation delivers through conversation.

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FAQs

Frequently Asked Questions

How does the AI agent publish changelog posts?

The agent calls Beamer's API with post title, content, and category. Posts can publish immediately or schedule for later. The announcement appears in your Beamer widget for users to discover.

Can the agent filter posts by category or date?

Yes. Count posts and get feed endpoints accept category, dateFrom, and dateTo parameters. The agent retrieves announcements matching specific criteria for focused analysis.

What Beamer API credentials does Tars need?

Tars requires your Beamer API key from your account settings. The key provides access to posts, notifications, categories, and engagement data based on your Beamer plan.

Does Tars store changelog data from Beamer?

No. Tars queries Beamer's API in real-time during conversations. Post content, reactions, and comments are fetched live. All announcement data remains in Beamer's infrastructure.

What engagement metrics does Beamer track?

Beamer tracks views, clicks, reactions (positive, neutral, negative), and comments. The agent retrieves these metrics per post or aggregated across date ranges.

Can the agent segment announcements by user type?

Yes. Beamer supports user segmentation. The agent can filter notifications by user attributes and retrieve engagement data for specific user segments on Pro plan and above.

How is this different from Beamer's dashboard?

The dashboard requires login and manual navigation. Tars enables changelog publishing, engagement queries, and feedback review through Slack or Teams without context switching.

Can the agent manage multiple Beamer products?

The agent works with one Beamer API key per configuration. For multiple products, configure separate integrations with each product's API key.

How to add Tools to your AI Agent

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Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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TARS is an essential tool within our lead gen strategy. I started to use it a couple years ago, and the platform evolved to focus on results. You can integrate your Google Analytics, Facebook Pixel, and AdWords conversion tag to track results and measure your campaign. You can also integrate with Zapier, which opens a lot of possibilities. Compared with static landing pages, we have seen an increase in conversions and more engagement.
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“Very professional and cooperative”
Building an automated chat that our customers actually used and reduced calls amount.
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“Flexibility and good service”
Tars platform is very flexible, so you can do pretty much any flux you desire. Also integrates with any third party through APIs with a very simple and easy-to-use interface. Also tars team is great! Always at disposal and brings suggestions and solutions for any issue encountered during the process of building the chatbot.
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“We're saving an average of 4,000+ calls a month.”
Implementing an Agent revolutionized our customer service channels and our service to Indiana business owners. We're saving an average of 4,000+ calls a month and can now provide 24x7x365 customer service️ along with our business services.
Lindsey Roark Mayes
Ex-Director of SOS IT (State of Indiana)
“Cutting down on staff needing to email back.”
Since our launch of Tars Agents, we've had more than 5k interactions with them from individuals on the website. We saw prospects interacting with the Agent regarding application timelines, tuition, curriculum, and other items that may come through an email. This provides another avenue of access to our team while cutting down on staff needing to email back.
Levi Eastwood
Marketing Director of UCI Merage School
“Powerful tool - and there's so much more still to explore!”
I love the flexibility of the TARS chatbot design tool. The ability to drop in a new gambit and easily de-link and re-link gambits before and after it saves HOURS of time lost if I had to regenerate from scratch. TARS stands out for its flexibility, consistent performance, and outstanding support.
Aaron Rittmaster
Founder
“I like the product.”
Takes those boring forms and allows you to make the collecting of customer information enjoyable for the user. It has a lot of value and I see the company constantly working on improving it.
Pierre Rattini
Director of Marketing
“Very responsive and supportive Team”
I love how supportive and responsive the team members are. The chatbots are not difficult to build once you have an idea of what you are doing, and this is so based on the backend work Tars has completed. Also, they are flexible to the clients' requests.
Keisha Cameron
Product Manager
“Easy for cooperation and open to agreement.”
One of the biggest qualities of TARS is their ability to truly understand their clients' needs. They took the time to thoroughly assess our requirements, offering valuable insights and recommendations that we hadn't even considered. This level of personalized attention made a significant difference in the success of our project.
Milica Petrovic
Customer Care Project Associate
“Great service”
The guys at Tars are so passionate about bots and maximum engagement. Tars is overall a great product with really nice people there to help me engage and automate conversations I would have otherwise missed.
Nigel Gosling
Health Coach
“Best in class for lead generation”
TARS is an essential tool within our lead gen strategy. I started to use it a couple years ago, and the platform evolved to focus on results. You can integrate your Google Analytics, Facebook Pixel, and AdWords conversion tag to track results and measure your campaign. You can also integrate with Zapier, which opens a lot of possibilities. Compared with static landing pages, we have seen an increase in conversions and more engagement.
Leonardo Wolff
Founder
“Very professional and cooperative”
Building an automated chat that our customers actually used and reduced calls amount.
Maryam Alhaddad
Customer Journey Designer
“Flexibility and good service”
Tars platform is very flexible, so you can do pretty much any flux you desire. Also integrates with any third party through APIs with a very simple and easy-to-use interface. Also tars team is great! Always at disposal and brings suggestions and solutions for any issue encountered during the process of building the chatbot.
Lucas Von Lachmann
Process Manager
“Deserved The title of the Best Chatbot of the Year”
If you are building chatbots, you cannot go wrong with TARS. I have been with this company since their beginning. Seen how they have grown. I have tested a lot of bots, but this one is still the best out there. We use WhatsApp a lot for our business. And what I like best is that I can have 1 chatbot for website and for my WhatsApp. I especially appreciate their support team as well. Whenever I am stuck, they quickly reply to my questions.
MJ Felix
Chairman
“Advanced integration, easy to use, and very customizable.”
This chatbot does everything from AI integration to complete customization and is excellent for lead conversion in most industries. I think the pre-formatted templates are an excellent boost to get started quickly. The team is also excellent.
Rachel Rowling
Chief Operating Officer
“The chatbot implementation has exceeded expectations!”
The implementation has delivered 24/7 customer support and is proving its value by reducing Contact center calls by around 5% in just four months of operation. Beyond enhancing the e-care experience, the chatbot is driving impressive business results, achieving a remarkable 20% month-on-month growth.
Victor Pereira
Customer Care and CX Manager

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At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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Email - sales@hellotars.com

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Email - sales@hellotars.com

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