Systems | Development | Analytics | API | Testing

Release notes are the thing that always gets written last, usually by whoever has the least context, usually the morning after ship day. Everything you need is already sitting in GitHub, it just isn't in a form anyone outside engineering can read. In this video, we use AgentSpot to build a Release Notes Workflow that reads what's been merged in GitHub, translates the changes into human-readable notes, posts them to your team's Slack channel, and keeps a running Slack canvas so every release stays in one place.

Writing tickets is the tax every PM pays. You know exactly what needs to get built, then you spend an hour turning it into properly scoped Jira issues with acceptance criteria, labels, and the right epic. AgentSpot does the writing for you. In this video, we use AgentSpot to build a Product Assistant that turns a rough feature idea into fully drafted Jira tickets, pulls in context from your existing backlog so nothing gets duplicated, and files them to the right epic ready for grooming.

AI changed the process, but not what matters. In the latest episode of The Data & AI Chief, three authors explore what it takes to lead through the AI era, from scaling innovation to building AI-ready data foundations to keeping humans at the center. This episode features: Linda Hill, Harvard Business School Professor and author of Genius at Scale, on scaling innovation and leading through uncertainty.

In this video, learn how to set up AgentSpot's self serve free tier from scratch. You'll connect the apps you already work with (Google Workspace, Slack, and more) and authenticate them in a couple of clicks. Plus, you'll build your first agent, one that catches you up on Slack threads so you don't have to. Tip: the more tools you connect, the more context your agent has, and the better it works for you.

Our own sales team was losing up to 2 hours per account just switching between tools. Here's how they got that time back. In this video, our SVP of Revenue Strategy walks through how her team built a single sales hub with AgentSpot, pulling data from ThoughtSpot, Salesforce, Gong, and external intent signals into one workflow. What you'll see: What's hot in your territory: the accounts showing real buying intent, based on search trends and ICP fit.

How does our sales and revenue operation teams use Spotter, our agentic analyst, to instantly access and analyze their data using natural language? In this video, you'll see how Spotter makes data interrogation easy and reliable. Learn how to: Explore Data Sets: Quickly understand what data you have access to, where it is pulling from, and get immediate examples of what you can ask. Get Instant Answers: Type a natural language question (like "What's the booked ACV this quarter by region?") and instantly receive easy-to-read charts and deep analyses.

Meet Winny, a GTM Intelligence agent built with AgentSpot and ThoughtSpot. See how teams can get faster answers to questions about conversion and pipeline velocity by simply asking questions in AgentSpot or Slack, with verified data pulled directly from ThoughtSpot. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

Most companies are investing in AI. Very few are seeing it reflected in their financial results. The gap comes down to three foundational decisions. In this clip from The Data & AI Chief, Raman Tallamraju from Vanguard breaks down what the companies seeing measurable AI benefits have in common.

Most organizations are moving fast on AI ambition. Fewer are moving fast on what makes that ambition possible. Before you can reimagine your business with AI at its heart, your data estate needs six things: to be well-defined, trusted, well-connected, contextualized, consumed in a multimodal way, and ready for both humans and machines at scale. Most organizations have two or three. The ones pulling ahead in AI have all six.

New hires always have questions, and waiting on a response slows people down on day one. In this video, we use AgentSpot to build an Employee Policy Helpdesk Agent that pulls from your internal knowledge base and policy pages to answer everyday HR questions accurately, without paraphrasing or guessing. It knows when to escalate to a human and deploys directly in Slack so employees get answers right where they already work.