Capabilities
One system that connects your repos, errors, analytics, tickets, and team conversations.
"Do we have SSO?" "What's causing the checkout error spike?" "How is onboarding adoption trending?" Type a question. Glue pulls from your code, error logs, analytics, and tickets to answer in 8 seconds. No engineers interrupted.
Today you check Sentry for errors, PostHog for usage, Jira for tickets, Slack for context, and GitHub for code. None of them talk to each other. Glue connects them. Error spikes map to features. Usage trends tie to workflows. You see the full picture for the first time.
Drop a ticket into Glue. It tells you which modules are affected, which files need changes, what could break, and gives you a step-by-step execution plan — all grounded in your real architecture.
70% of project failures trace to requirements. Not bad engineers — bad specs. Glue generates specs from your actual architecture, with exact files, existing patterns, and risks flagged before anyone estimates.
"Alert me when error rates spike on checkout." "Draft a ticket when adoption drops below threshold." "Post a weekly product health report to Slack." Describe what you want in plain English. Glue builds the workflow and runs it automatically.
The numbers
wasted per $1B invested
Failed projects start with decisions made without full product visibility.
PMI
of failures → requirements
Specs written without code and data context are the root cause.
Fohlio 2024
per dev on understanding toil
Time spent context-switching between fragmented tools.
Stripe
of PM time firefighting
More than half of PM hours chasing information, not making decisions.
Pragmatic Institute
lost per interruption
Each PM question triggers a 23-minute focus reset for the engineer.
Gloria Mark, UC Irvine
of projects exceed budget
Root cause: no one could see the full product picture.
McKinsey
Details
Code-grounded, data-backed — not guesses from someone's memory.
Plain English questions, plain English answers with source references.
Answers draw from code, Sentry errors, PostHog analytics, and Jira tickets — connected.
Sentry errors automatically mapped to the features and modules they affect.
PostHog analytics tied to actual product workflows, not just page views.
Live connections, not stale spreadsheets. The picture updates as your product does.
AI classifies, deduplicates, and prioritizes — up to 20 tickets at once.
See exactly which features and modules a ticket touches before committing.
Step-by-step implementation plans with files, dependencies, and risks.
Specs name the exact files, follow your team's patterns, flag dependencies.
Hidden dependencies surfaced before the sprint, not during.
Because they come from the actual codebase, not a PM's best guess.
Describe the goal. Glue figures out the workflow, data sources, and triggers.
Agents pull from code, errors, analytics, and tickets — then act on Slack, Jira, or email.
Review agent drafts before they fire, or let trusted agents run autonomously.
