AI Smart Defaults
Suggest sensible starting values for a form instead of leaving every field blank.
What it adds
Pre-filled but fully editable default values on the app's forms, derived from the current user, workspace, and related records.
What your agent is told to do
5
What your agent is told to do
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Identify the forms where users repeatedly type the same value, then assemble the context that would predict it: the acting user's recent entries, the workspace's conventions, and the parent record the form was opened from.
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Render every suggestion as a normal editable field value that is visibly marked as suggested, and clear that marking the moment the user edits it. Never write a suggested value into a record the user has not submitted.
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Build the deterministic default first and keep it in place. The model layer only overrides it when it returns a well-formed value the field would accept and its own stated confidence clears a threshold you configure.
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Give the user a way to see why a value was suggested in plain language, and a single control that clears all suggestions on the form back to the deterministic defaults.
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Do not learn from the user's corrections by silently feeding their edits back as training or long-term memory. Correction data is only reused where the user has agreed to it, and never across tenant boundaries.
Edge cases it handles
8
Edge cases it handles
8- A suggestion is a default, not a decision. If the user submits without looking, they must still get a value they could have arrived at themselves, so a suggestion must never populate a field with legal, financial, or destructive consequences.
- The context assembled for one workspace must never include another tenant's records. Scope every lookup to the acting user's permissions before the request is composed, not after the response comes back.
- Sensitive attributes about a person must not be part of the context or the reasoning, even when they correlate well with the right answer. Exclude them at the point the context is built.
- A surprising suggestion with no explanation reads as a bug. If the app cannot say in one sentence where a value came from, do not show it as a suggestion.
- When the model is slow, unavailable, or returns something the field cannot parse, the form must render immediately with deterministic defaults rather than blocking on the suggestion.
- A suggestion that arrives after the user has already started typing in that field must be discarded, not applied over their input.
- Suggestions must respect field-level validation and permissions. A value the user is not allowed to set must never be offered.
- Cap the spend: a form opened repeatedly in a loop must not issue a request every time. Reuse a recent result for the same context and enforce a per-workspace ceiling on suggestion calls.
Definition of done
8
Definition of done
8- Every suggested value is editable, visibly marked as a suggestion, and unmarked once edited.
- Deterministic defaults render immediately and remain in place when the model is slow, unavailable, or returns unusable output.
- No suggestion is derived from another tenant's data or from sensitive personal attributes.
- Each suggestion can be explained in one sentence in the interface.
- Nothing is written to a record until the user submits the form.
- Suggestion calls are rate limited and capped per workspace, with reuse of recent results for identical context.
- The feature matches the existing design system.
- No existing functionality is broken.
Related features
AI Ticket Routing
AI Ticket Routing
Send each support request to the queue that can actually resolve it.
What it does
Automatic assignment of an inbound support request to one of the currently configured queues, teams, or specialists, with a recorded reason and a fallback.
How it works
- 1 Read the destination list from the app's live configuration at the moment of routing, and constrain the decision to that set. A destination that is disabled, deleted, or out of hours is not a valid choice.
- 2 Pass the current ownership rules and destination descriptions in with each request rather than relying on anything the model may have absorbed earlier, so a change to team ownership takes effect on the next ticket.
- 3 Record the chosen destination, the confidence, and a one-line reason on the ticket, and give agents a reassign control that logs the correction alongside the original decision.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-ticket-routing
AI Support Triage
AI Support Triage
Summarise each incoming support request and estimate how urgent it really is.
What it does
An automatic summary, urgency estimate, and likely problem area attached to every inbound support request, with the evidence behind each.
How it works
- 1 Run triage as a background job on arrival, using the app's existing queue and retry behaviour. The ticket must be visible and workable in its raw form the moment it lands, whether or not triage has finished.
- 2 Produce three separate outputs — a short summary, an urgency level, and a likely problem area — and store each with the quoted source statements from the ticket that support it, so a human can check the reasoning.
- 3 Define urgency in terms of business impact: who is blocked, how many, whether money or data is at risk. Compute it from what the ticket describes, not from how the writer sounds.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-support-triage
AI Chat Attachments
AI Chat Attachments
Attach files to a conversation and let the assistant use what it is allowed to read.
What it does
File upload on an AI conversation, with parsing, retrieval of relevant sections, and per-conversation access scoping.
How it works
- 1 Reuse the app's existing upload, storage, and virus-scanning path rather than adding a second one, and declare an explicit list of accepted file types and a size ceiling per file and per conversation.
- 2 Parse each attachment into text and structure in a background job, store the result, and show the attachment as pending until parsing succeeds so the user is never told the assistant has read something it has not.
- 3 Retrieve and send only the sections relevant to the current question. Sending whole documents on every turn burns the context window and the budget for no gain.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-chat-attachments
How it works
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1
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.