How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude are great for one-off generation. Vantage is a full workspace. It connects your tools, tracks dependencies across projects, catches conflicts between products, and surfaces what needs your attention every morning. It also remembers every past decision, so a new PM can query across all projects and get cited answers in seconds.

Do I have to switch away from Notion or Linear?

No. You keep all your tools. Vantage connects to them and builds intelligence on top. When you're ready, you can push tickets to Linear or Jira. But the value starts before you create anything — just by connecting your tools and seeing what the intelligence layer surfaces.

What happens on day one?

You connect your tools — GitHub, Linear, Slack — 2 minutes each. Vantage indexes your existing data overnight. By the next morning, you see your first decision queue: what's stale, what conflicts, what changed. No manual setup. No templates to fill out.

What if I only manage one project?

Vantage works for single projects, but it shines when you manage 3–5 or more. Conflict detection, cross-project memory, and the decision queue are most valuable when you have multiple projects that need to stay in sync. If you manage one project, start with the free tier and see if the cited query engine alone saves you time.

All data encrypted in transit and at rest. We never train on your data — the AI providers we use are contractually barred from it. You can disconnect any integration or delete your account at any time. Pursuing SOC 2 Type II.

How does Vantage keep documents and tickets up to date?

When context shifts, you add the new information and Vantage rebuilds every connected deliverable. Documents, prototypes, and tickets all update. You review the changes, accept or reject each one, and approve. Nothing updates silently, and every change is traceable.

How do I get started?

Sign up free at app.vantageos.tech. Connect your tools, and generate your first grounded document within minutes. No credit card required. Upgrade when you need more projects or features.

How do I set up Sentry for error tracking?

Create a Sentry project per service, install the SDK with user context and release tracking, upload source maps for readable stack traces, configure issue grouping rules, and set up alert rules for new issues and volume spikes. Build a stability dashboard with crash-free sessions, new issues per release, and top issues by user impact. Connect Sentry to your issue tracker for one-click bug ticket creation.

What Sentry alerts should product teams set up?

Set up two primary alerts: a 'New Issue' alert that fires when a previously unseen error type appears in production (catches regressions), and a 'Volume Spike' alert when an existing error exceeds 5x its baseline frequency. Route to Slack and tag the PM on high-priority issues. Avoid per-occurrence alerts, which create alert fatigue.

How do PMs use error tracking data for prioritization?

Use the crash-free sessions metric as your North Star for stability. Rank bugs by unique affected users, not raw error count, because one user hitting an error 1000 times is different from 1000 users each hitting it once. Correlate new errors with releases to identify regressions. Present error data alongside feature requests during sprint planning to make stability-versus-features tradeoffs explicit.

How-To2026-09-0310 min read

How to Set Up Error Tracking in Sentry

Errors in production are not just engineering problems; they are product problems. Every unhandled exception is a user who did not complete what they came to do. PMs who understand their error landscape make better prioritization decisions because they can weigh new features against the cost of existing instability. Sentry is the most widely used error tracking platform, and setting it up well means you have a clear, actionable picture of your product's health.

This guide focuses on the Sentry setup that matters for product teams: grouping errors by impact rather than stack trace, configuring alerts that distinguish between noise and signal, and building dashboards that answer the PM question 'is this release stable?' rather than the engineering question 'where is the null pointer?' You will work with engineering on the SDK integration, but the configuration decisions around alert thresholds and issue prioritization are your domain.

Step-by-step guide

Create your Sentry project and install the SDK

Create a Sentry project for each deployable service (frontend, backend API, mobile app). Work with engineering to install the appropriate Sentry SDK. For frontend, the SDK captures JavaScript exceptions, network errors, and user interaction breadcrumbs. For backend, it captures unhandled exceptions and can instrument database and API call performance. Ensure the SDK is configured to send user context (user ID, email) so you can correlate errors with specific users and accounts.

Create a Sentry project per service (web, API, mobile)
Install the SDK with user context configuration
Verify errors are flowing by triggering a test exception

Configure release tracking and source maps

Set up Sentry Release tracking by including the version or commit SHA in the SDK configuration. Upload source maps (for frontend) so error stack traces show original code, not minified bundles. Release tracking allows you to see exactly which release introduced a new error and how errors trend across releases. This is the feature that transforms Sentry from a raw error log into a release health tool.

Configure the SDK to send the release version with every event
Add source map upload to your build pipeline
Verify that error stack traces show original source code in Sentry

Set up issue grouping and prioritization

Sentry automatically groups similar errors into Issues. Review the default grouping and adjust fingerprinting rules if similar errors are being split into separate issues or different errors are being merged. Set up Sentry's Issue Priority feature to automatically rank issues by a combination of frequency, user impact, and recency. This prevents the common problem where the PM prioritizes a loud but low-impact error over a quiet but high-impact one.

Review default issue grouping for accuracy
Adjust fingerprinting rules for errors that are incorrectly grouped
Enable auto-priority based on frequency and user impact

Configure alert rules for product-relevant signals

Create alert rules that notify the right people at the right time. Set up a 'New Issue' alert that fires when a previously unseen error type appears in production (this catches regressions from new releases). Set up a 'Volume Spike' alert for when an existing error's frequency exceeds 5x its baseline. Avoid alerting on every individual error occurrence. Route alerts to a dedicated Slack channel and tag the PM on high-priority issues.

Create a 'New Issue in Production' alert rule
Create a 'Volume Spike' alert with a 5x baseline threshold
Route alerts to Slack with PM notification on high-priority issues

Build a Product Stability dashboard

Create a Sentry Discover dashboard with four queries. First, a crash-free sessions percentage over the last 7 days (this is your North Star stability metric). Second, a timeseries of new issues introduced per release. Third, a table of the top 10 most impactful issues ranked by unique user count. Fourth, an error rate breakdown by page or route so you know which parts of your product are least stable. Pin this dashboard and review it weekly.

Add a crash-free sessions widget as the primary stability metric
Add a new issues per release timeseries
Add a top 10 issues table ranked by affected user count
Add an error rate breakdown by page/route

Integrate Sentry with your issue tracker

Connect Sentry to your project management tool (Jira, Linear, Asana) so issues can be converted to bug tickets with one click. When a Sentry issue becomes a ticket, the ticket should include the error message, affected user count, first and last occurrence, and a link back to the Sentry issue for debugging. This integration ensures error context flows into your sprint planning without manual copy-pasting.

Common mistakes

Alerting on every error occurrence

If you get a notification for every single error, you will mute the channel within a week. Alert on new issue types and volume spikes, not individual events. The goal is to surface signals, not to create a firehose of notifications that trains the team to ignore alerts.

Not connecting errors to users

An error that affects one user per day is different from an error that affects your largest customer on every login. Without user context in the SDK, all errors look equal. Configure the SDK to send user ID and relevant attributes so you can prioritize by user impact, not just error count.

Ignoring the crash-free sessions metric

Teams fixate on individual errors while missing the forest for the trees. The crash-free sessions percentage tells you what percentage of user sessions complete without encountering an error. A drop from 99.5% to 98% means you doubled the number of users experiencing errors. This is the metric that should trigger prioritization discussions.

Tips

Use Sentry's Session Replay feature (if available for your plan) to see exactly what the user was doing when the error occurred, replacing the need for reproduction steps

Tag errors with the feature flag state at the time of the error so you can quickly identify whether a flag rollout introduced new errors

Set a team SLO for crash-free sessions (e.g., 99.5%) and display it on your team's dashboard to make stability a shared responsibility

Create a monthly 'Bug Bash' ritual where the team triages the top 20 unresolved Sentry issues and creates tickets for the most impactful ones

How Vantage helps

Vantage integrates with your monitoring stack so that when you start a project or write a PRD, you can query error data from your production environment. If you are writing a specification to redesign the checkout flow and it has a 3% error rate, Vantage surfaces that context so your PRD addresses the existing stability issues alongside the new functionality.