diff --git a/cmd/cognitive-worker/gateway.go b/cmd/cognitive-worker/gateway.go
index a17db49..5bdb8a1 100644
--- a/cmd/cognitive-worker/gateway.go
+++ b/cmd/cognitive-worker/gateway.go
@@ -186,7 +186,7 @@ func selectionObjectiveForMeaning(meaning cognitive.TaskMeaning, message string)
 }
 
 func builtinAdvisory(request cognitive.GatewayAdvisoryRequest) cognitive.GatewayAdvisoryResponse {
-	text := "Я — Домовой, ваш помощник. Помогаю разбираться в вопросах, искать информацию и выполнять задачи."
+	text := "Проверю запрос доступным маршрутом и сообщу результат."
 	switch request.Meaning.InformationRequestKind {
 	case interaction.InformationRequestCognitiveModelInventory:
 		text = "Проверю подключённые модели. Ключи и пароли не показываю."
@@ -201,7 +201,9 @@ func builtinAdvisory(request cognitive.GatewayAdvisoryRequest) cognitive.Gateway
 		case "REQUEST_TO_INVESTIGATE":
 			text = "Понял задачу. Проверю доступный путь и сообщу результат."
 		case "QUESTION":
-			text = "Я — Домовой, ваш помощник. Помогаю разбираться в вопросах, искать информацию и выполнять задачи."
+			text = "Проверю вопрос доступным источником и отвечу по существу."
+		case "CONVERSATIONAL":
+			text = "Я — Домовой, ваш помощник."
 		}
 	}
 	return cognitive.GatewayAdvisoryResponse{Version: request.Version, RequestID: request.RequestID, AdvisoryText: text, FinishReason: cognitive.FinishCompleted}
diff --git a/cmd/cognitive-worker/gateway_registry_test.go b/cmd/cognitive-worker/gateway_registry_test.go
index f442ede..6f8d40c 100644
--- a/cmd/cognitive-worker/gateway_registry_test.go
+++ b/cmd/cognitive-worker/gateway_registry_test.go
@@ -196,7 +196,7 @@ func TestBuiltInAdvisoryIdentityIsNaturalAndDoesNotMentionResponseLength(t *test
 		RequestID: "request-identity",
 		Meaning:   cognitive.TaskMeaning{SpeechAct: "QUESTION"},
 	})
-	if response.AdvisoryText != "Я — Домовой, ваш помощник. Помогаю разбираться в вопросах, искать информацию и выполнять задачи." {
+	if response.AdvisoryText != "Проверю вопрос доступным источником и отвечу по существу." {
 		t.Fatalf("unexpected identity response: %q", response.AdvisoryText)
 	}
 	if strings.Contains(response.AdvisoryText, "коротко") || strings.Contains(response.AdvisoryText, "подробност") {
diff --git a/modules/interaction/domain/chat.go b/modules/interaction/domain/chat.go
index f595340..e9be08d 100644
--- a/modules/interaction/domain/chat.go
+++ b/modules/interaction/domain/chat.go
@@ -214,7 +214,7 @@ func semanticScores(tokens []string, hasQuestionMark bool, explicitCorrection bo
 	questionWords := map[string]struct{}{"кто": {}, "что": {}, "как": {}, "почему": {}, "зачем": {}, "где": {}, "когда": {}, "сколько": {}, "какой": {}, "какая": {}, "какие": {}, "чей": {}}
 	conversationWords := []string{"привет", "здравствуйте", "спасибо", "ку", "здравствуй"}
 	investigateStems := []string{"разбер", "проверь", "проанализ", "исслед", "выясн", "уточн", "подум", "понят", "посмотри", "попроб", "повтор", "снов"}
-	directiveStems := []string{"сдел", "запуст", "созд", "настро", "добав", "измени", "помен", "использ", "удал", "напом", "подключ", "исправ", "обрати", "спрос", "посчитай", "рассчитай", "ответь"}
+	directiveStems := []string{"сдел", "запуст", "созд", "настро", "добав", "измени", "помен", "использ", "удал", "напом", "подключ", "исправ", "обрати", "спрос", "найд", "посчитай", "рассчитай", "ответь"}
 	explanatoryRequestStems := []string{"расска", "раска", "объяс", "опиш", "покаж", "подскаж", "сообщ"}
 	preferenceStems := []string{"предпоч", "хочу", "лучше", "не используй"}
 	hypothesisStems := []string{"думаю", "кажется", "гипотез", "похоже"}
@@ -472,13 +472,56 @@ func capabilityHintsFor(primary, secondary interaction.SpeechAct, tokens []strin
 // place, person or one-off question branch; when the cue is absent the
 // truth-first fallback remains in force.
 func sourceDependentQuestion(primary, secondary interaction.SpeechAct, tokens []string) bool {
-	inquiry := primary == interaction.SpeechActQuestion || primary == interaction.SpeechActRequestToInvestigate || secondary == interaction.SpeechActQuestion || secondary == interaction.SpeechActRequestToInvestigate
+	inquiry := primary == interaction.SpeechActQuestion || primary == interaction.SpeechActRequestToInvestigate || secondary == interaction.SpeechActQuestion || secondary == interaction.SpeechActRequestToInvestigate || (primary == interaction.SpeechActDirective && containsStemInTokens(tokens, "найд", "поищ", "подбер"))
 	if !inquiry {
 		return false
 	}
 	currentCue := containsStemInTokens(tokens, "сейчас", "сегодня", "текущ", "актуаль", "последн", "прямо")
-	observedStateCue := containsStemInTokens(tokens, "погод", "температур", "осад", "ветер", "курс", "цен", "стоим", "новост", "распис", "событ", "статус", "доступен", "работает", "запущен", "срок")
-	return currentCue || observedStateCue
+	observedStateCue := containsStemInTokens(tokens, "погод", "температур", "осад", "ветер", "курс", "цен", "стоим", "новост", "распис", "событ", "статус", "доступен", "работает", "запущен", "срок") || approximateToken(tokens, "погод", 2)
+	placeSearchCue := containsStemInTokens(tokens, "ресторан", "кафе", "отел", "магаз", "мест", "ближ", "адрес", "организац")
+	return currentCue || observedStateCue || placeSearchCue
+}
+
+// approximateToken catches ordinary keyboard slips without turning routing
+// into a list of complete user questions. It is only used for broad
+// source-dependent concepts such as weather.
+func approximateToken(tokens []string, target string, maxDistance int) bool {
+	for _, token := range tokens {
+		if editDistance([]rune(token), []rune(target)) <= maxDistance {
+			return true
+		}
+	}
+	return false
+}
+
+func editDistance(left, right []rune) int {
+	previous := make([]int, len(right)+1)
+	for index := range previous {
+		previous[index] = index
+	}
+	for i, leftRune := range left {
+		current := make([]int, len(right)+1)
+		current[0] = i + 1
+		for j, rightRune := range right {
+			cost := 0
+			if leftRune != rightRune {
+				cost = 1
+			}
+			current[j+1] = minInt(current[j]+1, previous[j+1]+1, previous[j]+cost)
+		}
+		previous = current
+	}
+	return previous[len(right)]
+}
+
+func minInt(values ...int) int {
+	result := values[0]
+	for _, value := range values[1:] {
+		if value < result {
+			result = value
+		}
+	}
+	return result
 }
 
 func informationRequestKind(message string, candidate interaction.SemanticCandidate) interaction.InformationRequestKind {
diff --git a/modules/interaction/domain/chat_test.go b/modules/interaction/domain/chat_test.go
index 581be75..25b5655 100644
--- a/modules/interaction/domain/chat_test.go
+++ b/modules/interaction/domain/chat_test.go
@@ -154,6 +154,21 @@ func TestSourceDependentQuestionRequestsWebResearchWithoutEntityBranch(t *testin
 	}
 }
 
+func TestSourceDependentQuestionToleratesTyposAndPlaceSearch(t *testing.T) {
+	for _, message := range []string{"какая пугода в Сочи", "найди ближайший ресторан в Сочи"} {
+		candidate := BuildDeterministicCandidate(message, "", time.Unix(10, 0).UnixMilli())
+		seen := false
+		for _, hint := range candidate.CapabilityHints {
+			if hint == "WEB_RESEARCH" {
+				seen = true
+			}
+		}
+		if !seen {
+			t.Fatalf("message=%q was not routed to WEB_RESEARCH: %+v", message, candidate)
+		}
+	}
+}
+
 func TestRequestToClarifyCurrentFactRequestsWebResearch(t *testing.T) {
 	candidate := BuildDeterministicCandidate("уточни погоду в питере", "", time.Unix(10, 0).UnixMilli())
 	for _, hint := range candidate.CapabilityHints {