AI creates the first journey.
Automations keep it up to date.
Custory turns your product context into a structured journey, then keeps it connected to new signals from your stack.
Allowing the team to catch friction early and act with the full context.
Turn product context into a living journey
Custory starts from what your team already has — your website, docs, repo, feedback, then turns it into a structured journey your team can refine, connect, and keep current.
AI that drafts structure and works in context
Custory AI turns your website, repo, docs, and workspace context into a usable journey draft your team can refine, extend, and keep current without rebuilding from scratch.
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Automations that turn signals into action
Custory automations connect signals from tools like PostHog, Stripe, GitHub, and Slack to the journey steps they affect, so your team can catch friction early, open the right follow-up work, and keep the journey current as the product changes.
Don't let key signals die in dashboards
Without automation, a PostHog drop stays in a dashboard until someone notices it, discusses it, writes a ticket, and maps it back to the journey. That loop is slow and often breaks. Custory closes it automatically.
Automation templates
Start from proven workflows for signal monitoring, journey updates, team summaries, and follow-up work, then adjust the trigger, integrations, and actions to fit how your team operates.
Active team member for Slack
Regularly reviews one journey and nudges the team with next steps.
Weekly journey pulse for Slack
Turns weekly journey movement into a team-ready update.
Daily focus check for Slack
Prompts the team to confirm today's journey-aware priority.
PostHog event drift to Slack
Updates journey evidence when a key product event moves.
GitHub merged PR journey refresh to Slack
Reflect shipped product changes in the journey and prompt validation.
See all templates
Frequently asked questions
How does Custory AI help the team move faster?
AI helps in two ways: it builds your first journey draft from your product material so you start with context, not a blank canvas. But more importantly, automations turn AI into operational leverage—they keep the journey current automatically, pull signals from your stack, and kick off follow-up work without manual policing. That is where you see the biggest speed increase: less manual upkeep, more captured signals, faster prioritization.
What can automations actually do?
Automations can pull data from analytics or billing tools, create journey items on the right step where the problem actually lives, open issues in issue tracking or code systems, and send Slack messages — all from a single workflow triggered on a schedule or by an event. The power is that the signal, the decision, and the execution all stay connected.
What data sources can automations read from?
PostHog for event volume, funnel data, and user behavior. Stripe for payment failures, refunds, and subscription activity. GitHub for PR and deployment events. More sources are being added continuously.
Can I use the AI from Slack without opening the app?
Yes. Connect the Custory bot to Slack or Discord and @mention it in any channel or thread. It uses the same context and tool access as the in-app assistant, so you can ask questions, create items, and trigger updates without leaving the conversation.
How does the MCP server work with coding tools?
Connect Custory as an MCP server inside Claude, Cursor, or any compatible AI environment. The agent can then read your journey, inspect items, and create or update records as part of implementation workflows — keeping the journey in sync with what gets shipped.
Do I need to build automations from scratch?
No. Custory includes purpose-built presets for common scenarios like funnel drops, payment failure spikes, and Slack summary digests. You pick a trigger, configure the data source and actions, and the automation handles the rest.