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Make the AI a proposer, not the authority that operates your home. Let it identify an intent and suggest a bounded action; have Home Assistant check deterministic safety conditions, request explicit approval for sensitive operations, recheck those conditions after approval, and then call a fixed script with a known target. If approval does not arrive, a condition fails, or the device action errors, the operation should stop or report the failure—not quietly fall through to a less safe path.
This pattern is especially important for locks, garage doors, alarms, and other actions that affect physical safety or security. The example below shows the control flow for a proposed front-door unlock. It is a design sketch, not copy-and-paste YAML: event payloads and notification syntax depend on the installed Home Assistant version and integrations.
What does an approval gate do in an AI-controlled automation?
An approval gate separates a request from its execution. The AI may interpret a sentence or suggest an operation, but Home Assistant decides whether the request is allowed, asks a person when appropriate, and executes only a constrained action after the checks pass.
This separation matters because natural-language interpretation is not the same as authorization. A model can misunderstand a request, propose the wrong target, or produce output broader than intended. A reliable design does not treat the model’s confidence—or a sentence that sounds like consent—as permission to operate a device.
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Think of the workflow as a series of gates:
- Proposal: capture the intended operation, target and required parameters.
- Constraint: map that proposal to an allowed operation and reject anything outside the permitted set.
- Pre-check: confirm that the current home state permits asking for or carrying out the operation.
- Approval: present a person with a clear, time-limited choice when the action warrants it.
- Revalidation: check that approval is valid and the safety conditions still hold.
- Execution and record: run one fixed script and make the outcome observable.
Home Assistant automations provide the event-driven orchestration: a trigger starts a run, conditions can block later actions, and actions execute in order. Scripts provide a reusable execution boundary for the actual operation. That division keeps the automation responsible for deciding whether to run and the script responsible for performing a narrowly defined action.
Which actions should require approval?
Set the approval policy by the impact of the operation, not by whether the AI was involved. A harmless, reversible action may not need a prompt every time; an action that changes physical access or creates a safety risk should have a stronger gate.
| Action class | Example policy | Reasoning |
|---|---|---|
| Low-impact and readily reversible | Allow only a small, predefined set of actions under ordinary conditions; log the request. | A prompt for every minor change can make people approve reflexively. Keep the allowed scope narrow even when approval is not required. |
| Meaningful but recoverable | Require approval when the request is unusual, outside a permitted time, or conflicts with the normal household state. | Exception-based approval can preserve convenience while adding a gate when context is atypical. |
| Security- or safety-sensitive | Require explicit approval for each operation, then recheck relevant conditions immediately before execution. | Unlocking a door or opening a garage can affect people and property; a stale or ambiguous approval should not authorize it. |
This is a policy framework, not a universal classification of every device. A light, climate control, or alarm can have higher consequences in a particular home or situation. Decide which actions need approval, which conditions can block them, who may approve them, and what a timeout means before connecting the AI to execution.
How should the AI request be constrained?
Keep the model’s output small and structured: an intent, a target drawn from an allowlist, and only the parameters that the operation requires. Home Assistant should reject unknown targets, broad areas, missing values, and requests that violate household policy rather than trying to repair a potentially unsafe proposal automatically.
Map proposals to known operations
Prefer a mapping such as “unlock the front door” to a specific named operation over accepting a model-generated service name and entity ID. The AI should not be able to substitute a different lock, expand a single-device request to an entire area, or invent parameters that the execution path will honor.
For each allowed operation, define its target and permitted inputs outside the model’s free-form output. If an operation takes no variable inputs, keep it that way. If it needs a parameter, validate that parameter against an explicit range or set before asking for approval. The approval message should describe the validated operation, not an unfiltered string from the model.
Reject incomplete or ambiguous requests
If the proposal does not identify a permitted target, or if the target could refer to more than one device, do not guess. Ask the person to clarify through a separate interaction, or end the run without taking action. A request that cannot be represented by one allowed operation should not be converted into an unrestricted command as a fallback.
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Keep the approved operation narrow even if the user’s original sentence was broad. “Make the house secure,” for example, is not a single well-defined device action. Resolve such requests into explicit, separately governed operations rather than letting an AI response become an open-ended sequence of service calls.
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How do you build the approval flow in Home Assistant?
Use an automation to receive and govern the proposal, an actionable notification to collect a decision, and a fixed script to carry out the approved operation. The crucial sequence is: validate, ask, wait, validate the response, recheck live conditions, and only then execute.
1. Receive and normalize a proposal
A request may originate from Assist, a dashboard control, a webhook, or an AI service. Whatever the entry point, treat it as a request record rather than a device command. Keep enough information to identify what was proposed and which operation it maps to; reject unrecognized or incomplete proposals before presenting them as an approval choice.
Give each proposal its own identity or equivalent correlation value in the design. That makes it easier to associate a response with the correct request and reduces the risk that a second proposal can reuse the first proposal’s approval.
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Before notifying anyone, check the current state needed to decide whether the request should proceed to approval. Depending on the operation, this can include the intended person’s presence, the device state, the alarm state, occupancy, an allowed time window, or whether a conflicting run is already active. These checks should be explicit Home Assistant conditions, not assumptions inferred from the AI’s text.
A condition that fails prevents the following actions from running. Use that behavior deliberately: a failed pre-check should stop the approval path, not merely alter the notification while leaving execution reachable.
3. Send a specific approval request
Use an actionable notification with plain-language details about the action, target, requested change, expiry, and two distinct choices such as Approve and Reject. Home Assistant’s actionable-notification pattern sends a button event back to Home Assistant; its documented examples include alarm activation and front-door lock or unlock controls.
Keep the message specific enough that the approver can recognize what they are authorizing. “AI wants to run an action” is not useful context. “AI requests an unlock for the front door” states the proposed consequence and target. Do not present an approval button if the underlying request has not passed normalization and its initial checks.
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4. Wait for a bounded response
Wait for the expected approval or rejection event for a short validity window. A missing response should be treated as rejection or timeout, with the device left unchanged. Do not let a notification that arrives after the request has expired revive the operation.
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The notification event’s exact name and payload fields depend on the companion integration and its current documentation. Match the event to the expected action identifier and request; do not accept any notification event merely because it came from the same general event type.
5. Validate the response and recheck conditions
Accept only the expected approval choice, from the intended user or device, associated with the current request and received before expiry. A rejection, unrelated button event, malformed response, or timeout should end the run without executing the operation.
Then recheck the safety conditions immediately before the device action. Approval is not a substitute for current-state validation: a person may leave, an alarm state may change, or another automation may alter the device while the notification is waiting. Actions run sequentially, so placing a final condition directly before the execution step makes the ordering visible and prevents an earlier check from being treated as permanently valid.
6. Call one fixed script
After the checks pass, call a named script that contains the exact service action and target for the approved operation. Keep the target fixed in the script where possible; do not pass a raw service name, arbitrary entity ID, or unrestricted template from the model into the execution step.
Scripts are reusable action sequences and can be started from a dashboard, Assist, an automation, or another script. Here, the script is a deliberately narrow boundary: the approval branch can call the one operation the user approved instead of handing an AI-generated command to a general-purpose executor.
7. Report and inspect the result
Send a completion or failure notification that reflects the actual outcome. A request being approved does not prove that the device action succeeded. Home Assistant stops later actions after an action failure by default unless the flow explicitly continues or branches, so decide how to report errors rather than assuming a success message will always run.
Review the automation trace to see which trigger started the run, which conditions passed, and what actions were reached. Automation attributes expose information such as current runs, run mode, and last-triggered details. Together, traces, attributes, and outcome notifications make it possible to distinguish “never approved,” “blocked by a condition,” “timed out,” and “execution failed.”
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This sketch demonstrates the safety ordering for a front-door unlock. It is not a complete configuration: replace entity IDs, notification service names, event identifiers, and platform-specific payload fields with the syntax documented for the installed integrations.
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alias: AI proposal - approval gate - unlock
triggers:
- trigger: event
event_type: ai_action_proposed
conditions:
- condition: state
entity_id: person.resident
state: home
actions:
- action: notify.mobile_app_phone
data:
title: "Approval required"
message: "AI requests an unlock for the front door."
data:
actions:
- action: APPROVE_UNLOCK
title: "Approve"
- action: REJECT_UNLOCK
title: "Reject"
- wait_for_trigger:
- trigger: event
event_type: mobile_app_notification_action
timeout: "00:02:00"
continue_on_timeout: false
- condition: template
value_template: "{{ wait.trigger.event.data.action == 'APPROVE_UNLOCK' }}"
- condition: state
entity_id: person.resident
state: home
- action: script.unlock_front_door_fixed_targetThe example shows an initial presence check, a request with separate choices, a bounded wait, an approval test, a second presence check, and a call to a fixed-target script. The second check is intentional: the person’s state may have changed while the automation waited. The illustrative template is not a general event-validation pattern; production logic must also match the response to the intended user, device, and request using the fields supported by the installed notification integration.
Before using any version of this flow, verify that a rejection, timeout, malformed event, or failed condition cannot reach the script. Test the event fields against actual notifications in the installed environment. A design sketch cannot establish the exact syntax for a particular Home Assistant release or companion-app configuration.
How should you prevent stale or duplicate approvals?
Treat approval as a short-lived decision about one specific request, not as a reusable permission to perform an operation. Bind the response to the request and recheck device and household state just before execution.
- Expire requests: choose a short wait window suitable for the action; after it ends, leave the device unchanged.
- Match the decision: accept only the expected approval identifier and associate it with the proposal that prompted the notification.
- Limit approvers: define which intended user or device can authorize the operation; do not treat an unrelated event as consent.
- Recheck live state: repeat relevant presence, device, alarm, and conflict checks after the wait.
- Control overlapping runs: choose an automation run mode and request-handling policy that prevent duplicate proposals from sharing or confusing approvals.
- Handle retries deliberately: if a device action fails, do not automatically issue a second potentially consequential action unless that retry behavior is explicitly safe.
Automation attributes make current runs and run mode visible, but the right run policy depends on the intended behavior when a second proposal arrives. Decide whether to reject, queue, or separately process a new request; do not leave that outcome to an accidental overlap.
Should an AI-controlled automation use a webhook?
Do not use an unauthenticated or internet-facing webhook as a shortcut to a destructive or safety-sensitive action. Home Assistant’s automation trigger documentation explicitly warns: “Do not use webhooks to trigger automations that are destructive, or that can create safety issues. For example, do not use a webhook to unlock a lock, or open a garage door.”
The documentation also says to treat a webhook ID like a password, use a unique non-guessable value, keep it secret, and leave local_only enabled when internet access is not needed. Those precautions do not turn a webhook into approval: a reachable trigger should still enter a constrained local flow, and the same validation and human gate should apply.
If an AI service is reachable from outside the home, separate remote request delivery from local authorization. The remote system may submit a bounded proposal, but it should not bypass Home Assistant’s conditions or the approval event. Avoid exposing a direct route from an external request to a lock, garage door, alarm, or other consequential operation.
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Test both the intended path and every way the operation must stop. Use a safe test action or otherwise ensure testing cannot create an unintended physical consequence; the point is to verify the control flow, not to discover errors by operating a live lock or garage door.
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- Valid proposal: confirm that an allowed request creates the expected approval notification and names the correct action and target.
- Invalid proposal: submit an unknown target, unsupported operation, missing parameter, and broad request; verify none reaches the approval script.
- Reject and timeout: choose Reject, then separately allow the response window to expire; verify both paths leave the device unchanged.
- Unexpected response: exercise an unrelated action event or a response associated with another request; verify it is not interpreted as approval.
- Changed conditions: alter a relevant presence or device condition while the run waits; confirm the final check blocks execution.
- Overlap: submit a second proposal before the first finishes; confirm the configured run policy and request identity keep the approvals separate.
- Execution failure: verify the failure path reports an error and does not send a misleading success notification.
Inspect the trace for each test, not just the phone notification. A notification can look correct while the automation still has an unintended path to its action. Confirm which trigger, condition, wait, branch, and script call actually ran.
What commonly goes wrong, and how do you fix it?
Most unsafe failures come from treating approval as a simple button press instead of a decision tied to a current, constrained request. Diagnose the stage that failed and make the stopping behavior explicit.
| Symptom | Likely design issue | Safer response |
|---|---|---|
| The operation runs after the person’s situation has changed. | A check was made only before the notification wait. | Place a final condition immediately before the device action and include the relevant live state. |
| A second proposal appears to use the first request’s approval. | The response was not bound to one request, or overlapping runs were not handled deliberately. | Associate decisions with individual proposals and select a run policy that prevents accidental reuse. |
| No response leaves an unclear automation run. | Timeout handling was not defined. | Make timeout a non-execution outcome and notify or record that the request expired. |
| A failure is followed by an incorrect success message. | The flow does not distinguish a failed device action from a completed one. | Use an explicit failure branch or continuation behavior only where appropriate, and report the actual result. |
| A model can choose a device or operation that was not intended. | Free-form output is passed directly into execution. | Map proposals to allowlisted scripts and fixed targets; reject anything outside that mapping. |
| An external trigger can reach a consequential action. | A webhook or remote integration bypasses local checks. | Keep remote reachability separate from authorization and retain the local approval and validation flow. |
How do you choose an approval design?
Compare designs by consequence and failure behavior, not by how few steps the YAML contains. A flow that is quick to build may be hard to audit or may let expired approval reach execution.
- Impact: what can happen if the wrong target or action runs?
- Approval frequency: does every operation need a person, or only exceptions to an established low-risk policy?
- Scope: are scripts, targets, and parameters narrowly allowlisted?
- Expiry and replay resistance: is the decision short-lived and tied to one proposal?
- Reachability: can a request originate remotely, and does that change any local gate?
- Observability: can a person determine from traces and notifications what was proposed, blocked, approved, or executed?
- Failure behavior: what happens when a condition fails, no one responds, a device action fails, or another run is already active?
For a high-impact operation such as unlocking a door, the defensible default is per-request approval, a fixed target, a brief validity window, a final state check, and a clear record of the result. Less consequential operations may justify fewer prompts, but they still benefit from constrained targets, deterministic policy, and a defined failure path.
Frequently Asked Questions
Can Home Assistant approval notifications work when my phone is offline?
A person cannot make a timely decision from a device that cannot receive or return the notification event. Design the automation so no response is a safe stop, and provide another deliberate way to manage the device rather than treating a delivery problem as approval.
Can I approve an action by replying in natural language?
You can build a separate interaction that interprets a reply, but it should still resolve to a specific, validated approval event for one request. Do not let an open-ended reply directly become an unrestricted device command.
Should I require approval for every AI-requested light or thermostat change?
Not necessarily; the right threshold depends on the consequences in your home and how reversible the action is. You can reserve per-action approval for higher-impact operations and use a narrowly allowlisted policy for low-impact changes.
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