Make Scenario Trigger
Send chosen app events into a Make scenario through a configurable webhook.
What it adds
A per-workspace webhook destination pointing at a Make scenario, with event and field selection, delivery logs, and a pause on repeated failure.
What your agent is told to do
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What your agent is told to do
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Reuse the shared outbound delivery pipeline described in the Zapier Trigger Webhook brief. That brief owns queueing, signing, retry policy, and auto-disable; this one owns the Make-specific destination, its configuration screen, and the field selection.
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Let the user choose both the event types and which fields of each event are included, and default the field set to the minimum rather than the whole record.
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Encrypt the stored webhook URL at rest and mask it in the interface after it is saved, revealing it only on an explicit action by someone who may edit the integration.
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Give every delivery attempt a row in a log the user can read: when it was sent, the response status, whether it will be retried, and the payload that was sent with secrets redacted.
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Do not let the user edit an active field selection in a way that silently changes the shape of an already-running scenario. Version the payload shape and surface the version in both the payload and the settings screen.
Edge cases it handles
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Edge cases it handles
8- A webhook URL is a bearer credential in disguise — anyone holding it can feed the scenario. Store it encrypted, never log it in plain text, never include it in error reports, and require HTTPS with an externally resolvable host.
- A scenario built against a fixed payload breaks the moment a field is added or renamed. Let the user pick the event types and fields explicitly, keep the shape versioned, and treat an unselected field as absent rather than null.
- Retries will deliver the same event twice, and Make will run the scenario twice. Include a delivery identifier that is stable across attempts so the scenario can discard a repeat instead of duplicating the work downstream.
- Users cannot debug what they cannot see. Provide a delivery log with attempt history and response status, plus a manual test action that sends a clearly marked sample so a new scenario can be validated before real events flow.
- An endpoint that keeps failing will otherwise accumulate a growing backlog of doomed retries. Pause delivery for that integration after a sustained run of failures, hold or discard the backlog by a stated rule, and notify the owner rather than failing silently.
- Make will rate limit a scenario that is fed too fast. Respect any throttling response, back off with jitter, and cap concurrent deliveries per integration.
- When Make itself is down, the user should see the integration marked as degraded with the last successful delivery time, not an app that appears broken or an action that refuses to complete.
- Delivery logs contain payloads, and payloads contain customer data. Apply a retention limit, redact fields marked sensitive, and scope log visibility to the workspace that owns the integration.
Definition of done
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Definition of done
9- A workspace can configure a Make destination, select event types, and select payload fields.
- Stored webhook URLs are encrypted at rest and masked in the interface.
- Each delivery carries a stable identifier that is unchanged across retries.
- A readable delivery log records every attempt with its response status and outcome.
- A test action sends a clearly marked sample without entering the production event history.
- Sustained failures pause the integration and notify its owner.
- The delivery pipeline is shared with the other outbound webhook integrations rather than duplicated.
- The feature matches the existing design system.
- No existing functionality is broken.
Related features
Contentful Entry Sync
Contentful Entry Sync
Create and update Contentful entries against the connected space, environment, and locale.
What it does
A sync that writes app records into Contentful entries using the connected space's content model and locale configuration.
How it works
- 1 Have the operator select the space, the environment, and the default locale during connection, and store all three, because writing production content into a sandbox environment is an easy and expensive mistake.
- 2 Fetch the content model at connection time and again before each sync run, map app fields to entry fields by their stable identifiers, and validate the value type against the model before attempting the write.
- 3 Write every localized field under an explicit locale rather than relying on whatever the space treats as default, and state clearly which locales the app owns and which it leaves to editors.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/contentful-entry-sync
Typesense Index Sync
Typesense Index Sync
Keep a search index in step with your records so results stay current and correctly scoped.
What it does
A one-way sync from the app's records into a Typesense collection, with server-enforced tenant filtering and a rebuild path.
How it works
- 1 Identify every model users search today and declare the indexed shape explicitly: the fields people type into, the fields they filter and sort on, and nothing more. Treat a missing or newly added field as absent rather than letting the document fail validation.
- 2 Reuse the app's existing background-job system to push creates, updates, and deletes. Do not index inside the request cycle; a slow or unreachable search service must never make a save fail or hang.
- 3 Build the tenant, workspace, and permission filter on the server at query time and attach it to every search. Do not accept a filter, collection name, or scope value from a client-supplied parameter, because anything the browser can set the browser can change.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/typesense-index-sync
Mapbox Geocoding
Mapbox Geocoding
Convert typed locations into coordinates and structured addresses the app can use.
What it does
Forward and reverse geocoding with confirmed matches, controlled result bias, and coordinate precision rules.
How it works
- 1 Separate the two directions explicitly: text to coordinates for entry and search, coordinates to address for a dropped pin or a device location. They take different inputs, carry different confidence, and fail differently.
- 2 Present ambiguous matches as a list the user confirms. Silently taking the first result is how a record ends up in the wrong country with nobody noticing for months.
- 3 Bias results toward a location only when the app genuinely knows one, such as a workspace address or the map viewport the user is already looking at.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/mapbox-geocoding
How it works
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Copy the link
Grab the Markdown instruction URL for this feature.
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Give it to your AI
Paste it into Claude Code, Cursor, v0, Lovable — whatever you build with.
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It inspects, then implements
Your agent reads your existing app first, then adds the feature to fit it.
Works with your stack
These instructions are written to adapt. They tell the agent to detect your framework, match your existing design system, and reuse what you already have — rather than assuming a particular stack.
Need it tighter than that? Customize the feature and tell it exactly what you're running.