diff --git a/CHANGELOG.md b/CHANGELOG.md
index ad45469..5b6ef4a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -12,6 +12,7 @@ All notable changes to scolta-python are documented here.
 - **`AutoProvisioner.ensure_ai_available()` no longer provisions anything, and its return value is always `False`.** It previously returned `True` when it had minted a fresh trial. There is no longer a success to report. The parameter list is unchanged, so callers keep compiling; a caller that branched on `True` should move that branch to its own explicit `provision()` call. Two tests that asserted the mint behaviour are replaced by tests asserting its absence.
 
 ### Fixed
+- **Prompt templates re-synced from scolta-core: the `expand_query` decomposition preference and rule 13 (`src/scolta/ai/prompts.py`).** Rule 13 is now `CATEGORY → INSTANCES` rather than `CATEGORY → MEMBERS`, and it no longer presupposes a closed set. It previously licensed decomposition only when the model could "name the members confidently", so open-ended groupings — regulations, platforms, regional cuisines — fell back to restating the category, and only closed canonical sets decomposed at all. It now states that a grouping needs no complete or canonical membership and that the several most prominent instances are a decomposition, and it forbids substituting a narrower grouping for the one asked about ("citrus fruits" → "tart fruits"), which is only the same query restated. The two category→sub-category examples that taught that exact shape ("European cars" → "German cars", "Southeast Asian food" → "Thai") are gone. The task definition itself now names both kinds of expansion — an alternate PHRASING and a DECOMPOSITION — and says decomposition is the stronger one wherever it is available; the definition is what governs here, since edits confined to the rules moved nothing on their own. That preference defers explicitly to rule 15, without which the pressure to name instances overrode the unrecognized-entity guard and invented an identity for a mission it did not recognize. Rule 14 gains the same open-ended allowance, and the Examples block gains three worked decompositions ("citrus fruits", "camping trip essentials", "onboarding a new hire"). Byte-identity with scolta-core is enforced by `tests/ai/test_prompt_identity.py`.
 - **Re-vendored the browser bundle (`src/scolta/assets/js/scolta.js`) from scolta-php: the AI summary's "Show more" control now follows the viewport width, and a summarize failure can no longer strand the loading skeleton**
   ([tag1consulting/scolta-php#269](https://github.com/tag1consulting/scolta-php/pull/269)).
   Two follow-ups to the layout reservation. **First**, whether to clamp the summary and offer the control is a measurement (`scrollHeight` against `clientHeight`), and it ran only on resolve and on a toggle click, so the decision froze at the width the summary landed in. Rotate a phone to portrait, or shrink a responsive column, and a summary that fitted reflows past the reserved height: the text is still clipped, but with no clamped class there is no fade and the control stays hidden, so **a sighted reader saw text cut off at the box edge with no on-screen way to open it** (the full text stays in the DOM, so find-in-page and assistive tech were never affected). Widening left a pointless control behind. A feature-detected `ResizeObserver` on the text region now recomputes it, with exactly one live at a time, disconnected when the slot is released and when the user expands the summary, re-established on collapse, and never installed when the AI summary is off. The recompute toggles a mask class and the control's `hidden` flag inside the fixed-height panel, and the reserved height derives from a line count rather than the width, so **the box measures the same at every width** (297.03px at both 1280px and 420px) and the reveal moves nothing. **Second**, the search flow's un-awaited `summarizeResults(...)` call had nothing chained onto it; the work before its fetch is outside its own error handling, and because the function is `async` a throw there became a rejected promise the expansion chain's `.catch` never saw. With the slot reserved from the result paint, that left a skeleton shimmering permanently. The call now carries its own `.catch`, guarded on the search version so an abandoned cycle cannot collapse a newer search's slot. Nothing on the Python side changed and no index rebuild is needed. Copied byte-identically from the canonical `scolta-php` assets, verified with `cmp`.
diff --git a/src/scolta/ai/prompts.py b/src/scolta/ai/prompts.py
index b46f9f2..f2a2e89 100644
--- a/src/scolta/ai/prompts.py
+++ b/src/scolta/ai/prompts.py
@@ -15,7 +15,7 @@
 FOLLOW_UP = "follow_up"
 
 _TEMPLATES = _json.loads(r"""{
-"expand_query": "You expand search queries for {SITE_NAME} {SITE_DESCRIPTION}.\n\nReturn a JSON object with a \"terms\" key containing 2-4 alternative search terms — or up to 6 concrete members when decomposing a category, family, region, or context under rules 13-14 below, or up to 6 defining details when decomposing a named entity or event under rule 16 below, or up to 6 concrete instances when decomposing a quality or experience under rule 17 below. Do NOT include the original query — only return different phrasings that would find additional relevant content.\n\nIMPORTANT RULES:\n1. Extract the KEY TOPIC from the query — ignore question words (what, who, how, why, where, when, is, are, etc.)\n2. Keep multi-word terms together (e.g., \"cardiac surgery\" not \"cardiac\", \"surgery\")\n3. NEVER return single common words like: is, of, the, a, an, to, for, in, on, with, are, was, were, be, have, has, do, does, this, that, it, they, he, she, we, you, who, what, which, when, where, why, how\n4. NEVER return overly generic terms as standalone words. This includes: \"services\", \"information\", \"resources\", \"help\", \"support\", \"children\", \"family\", \"professional\", \"beginner\", \"advanced\". These match too many unrelated pages. If these concepts are relevant, combine them with the specific topic: \"family recipes\" not \"family\".\n5. For PERSON QUERIES: only return name variations — NOT job titles, roles, or descriptions. Keep terms SHORT.\n6. Include alternate terminology (technical + lay terms) where applicable.\n7. Include a category or department name only when it matches an actual taxonomy term or filter label on the site and is itself a useful search term — not as a broader synonym for the query. When a query names a category with concrete members, decompose it under rule 13 rather than restating the category.\n8. Return ONLY the JSON object. No explanation, no markdown, no wrapping.\n9. For AMBIGUOUS queries, use the site topic described above to disambiguate first. A query that is a common word in another language (e.g. \"Zweig\" means \"branch\" in German) should be interpreted in the domain of this site (e.g. a git documentation site → expand as git branch terms), not as the most famous person who shares that word as a surname.\n10. NEVER escalate the tone beyond what the user expressed.\n11. For queries with AUDIENCE QUALIFIERS (kid-friendly, beginner, professional, etc.): focus expanded terms on the TOPIC, not the audience. \"Kid friendly desserts\" → expand \"desserts\" into [\"easy baking recipes\", \"simple sweets\", \"no-bake treats\"], NOT \"children\" or \"family\". The audience qualifier should stay implicit in the phrasing, not become a standalone search term.\n12. For CONSTRAINT QUERIES (\"without X,\" \"X-free,\" \"no X,\" \"can't have X,\" \"vegetarian,\" \"gluten-free,\" \"dairy-free,\" etc.): preserve the constraint in your expansions. \"Without eggs\" → [\"egg-free baking\", \"vegan baking recipes\", \"eggless recipes\"]. Do NOT drop the constraint and expand only the general topic.\n13. CATEGORY → MEMBERS. When the query names a category, family, or region that has well-known concrete members, expand into the members, not synonyms of the category: \"version control systems\" → [\"Git\", \"Mercurial\", \"Subversion\"]; \"European cars\" → [\"German cars\", \"Italian cars\", \"French cars\"]; \"Nordic countries\" → [\"Sweden\", \"Norway\", \"Denmark\"]; \"Southeast Asian food\" → [\"Thai\", \"Vietnamese\", \"Indonesian\"]. Only decompose when you can name the members confidently. If you cannot, fall back to normal alternate phrasings — never invent members to fill the list.\n14. CONTEXT / USE-CASE → CONCRETE ITEMS. When the query names a context, occasion, or use-case rather than a thing, expand into the concrete item types that serve it, not restatements of the context: \"home office setup\" → [\"standing desk\", \"ergonomic chair\", \"monitor arm\"]; \"first aid supplies\" → [\"bandages\", \"antiseptic\", \"gauze\"]; \"summer lunch\" → [\"cold salads\", \"chilled soups\", \"sandwiches\"]. Keep the context implicit in the phrasing; do not restate it as a synonym (\"light summer meals\").\n15. UNRECOGNIZED OR UNVERIFIABLE NAMED ENTITIES. When the query names a specific entity you do not recognize as real and well-known — a product, place, organization, mission, regulation, medical condition, or similar — do NOT manufacture members, terminology, treatments, or attributes for it. Expand only with generic, neutral phrasings of the surrounding topic, and never produce authoritative-sounding domain-specific detail that presupposes the entity is real. This matters most for medical, legal, and safety queries, where inventing plausible clinical, legal, or technical detail is actively harmful: \"treatment for Glorptosis\" → [\"medical treatment\", \"therapy options\", \"symptom management\"], not invented drugs or pathology.\n16. NAMED ENTITY / EVENT → DEFINING DETAILS. When the query centers on a specific named entity or event — a mission, model, version, release, incident, case, statute, or product line — expand into the concrete details that identify it in prose: participants, components, distinctive phrases, causes, and consequences. Authors routinely write about a well-known entity without repeating its name or number, so an expansion that keeps the entity name glued to every phrase will miss the very pages that describe it. At least half your terms MUST drop the entity name entirely, and you must never simply append the name to a list of near-synonyms: \"iPhone 12 battery problems\" → [\"battery drain\", \"swollen battery\", \"shuts off in cold\"], NOT [\"iPhone 12 battery drain\", \"iPhone 12 battery failure\", \"iPhone 12 battery issue\"]; \"Ford F-150 towing capacity\" → [\"payload rating\", \"trailer weight\", \"tow package\"]; \"Hindenburg disaster\" → [\"airship fire\", \"Lakehurst landing\", \"hydrogen explosion\"]. Rule 15 still governs: only emit details you are confident are true of that entity, and for an entity you do not recognize fall back to neutral phrasings of the surrounding topic rather than inventing participants, parts, or events.\n17. QUALITY / EXPERIENCE → CONCRETE INSTANCES. When the query describes a feeling, reaction, or judgment about content rather than a topic itself — a \"scary moment\", \"inspiring story\", \"dramatic rescue\", \"funniest post\", \"embarrassing mistake\" — expand into the concrete kinds of events, systems, or situations that embody that quality in the writing, not synonyms of the adjective. Writers convey such an episode by narrating the specific thing that happened and seldom label it: a frightening one through the malfunction, the alarm that sounded, the aborted attempt; a funny one through the mix-up, the mishap, the nickname that stuck, the off-hand remark, the stunt or object brought along for fun; an inspiring one through the first, the record, the obstacle overcome. This applies to every valence, not only to things that went wrong, and it holds even on an otherwise serious or technical site: such a site still has its light and uplifting episodes, and they are just as specific as its grave ones. So on a wildlife-photography site \"scariest moment\" → [\"charging elephant\", \"snake underfoot\", \"lost in fog\"] and \"funniest moment\" → [\"monkey took the lens cap\", \"tripod in the mud\", \"mistimed shutter\"]; on a software blog \"most embarrassing incident\" → [\"data loss\", \"production outage\", \"shipped regression\"] and \"most inspiring project\" → [\"first release\", \"rewrite that shipped\", \"outage recovered in minutes\"]. These examples show the transformation, not a term bank: always derive the instances from the subject matter of THIS site, and never reuse the terms of an example unless they genuinely belong there. Never emit the vocabulary of the quality itself: NOT [\"frightening experience\", \"terrifying incident\"], NOT [\"amusing story\", \"humorous anecdote\", \"comical incident\", \"blooper\"], NOT [\"uplifting narrative\", \"moving account\"], and no other adjective restatement or genre label. Keep the quality implicit in the concrete phrasing. Rule 15 still governs: emit only instances you are confident fit this site domain. But its fallback is itself concrete: when you are unsure which specific episodes the site contains, fall back to concrete neutral subjects of the site domain, never to the vocabulary of the quality and never to a genre label for the content itself.\n\nExamples:\n- \"customer support\" → {\"terms\": [\"help desk\", \"customer service\", \"support center\", \"contact us\"]}\n- \"product pricing\" → {\"terms\": [\"cost\", \"pricing plans\", \"rates\", \"subscription tiers\"]}\n- \"who is Jane Smith\" → {\"terms\": [\"Jane Smith\", \"Smith\"]}\n- \"recipes without eggs\" → {\"terms\": [\"egg-free baking\", \"vegan baking\", \"eggless recipes\"]}\n- \"gluten-free desserts\" → {\"terms\": [\"gluten-free baking\", \"celiac safe sweets\", \"wheat-free pastry\"]}\n- \"version control systems\" → {\"terms\": [\"Git\", \"Mercurial\", \"Subversion\", \"Perforce\"]}\n- \"home office setup\" → {\"terms\": [\"standing desk\", \"ergonomic chair\", \"monitor arm\"]}\n- \"iPhone 12 battery problems\" → {\"terms\": [\"battery drain\", \"swollen battery\", \"shuts off in cold\"]}",
+"expand_query": "You expand search queries for {SITE_NAME} {SITE_DESCRIPTION}.\n\nReturn a JSON object with a \"terms\" key containing 2-4 alternative search terms — or up to 6 concrete members when decomposing a category, family, region, or context under rules 13-14 below, or up to 6 defining details when decomposing a named entity or event under rule 16 below, or up to 6 concrete instances when decomposing a quality or experience under rule 17 below. Do NOT include the original query. Two kinds of expansion are valid: an alternate PHRASING of the query, and a DECOMPOSITION of it into the concrete instances it covers. Decomposition is the stronger expansion whenever it is available, because a phrasing only restates what the query already said. Reach for alternate phrasings only when you cannot name instances. This preference never overrides rule 15: for a subject you do not recognize as real and well known you cannot name instances of it, so neutral alternate phrasings are the correct answer and guessing which real thing it refers to is not.\n\nIMPORTANT RULES:\n1. Extract the KEY TOPIC from the query — ignore question words (what, who, how, why, where, when, is, are, etc.)\n2. Keep multi-word terms together (e.g., \"cardiac surgery\" not \"cardiac\", \"surgery\")\n3. NEVER return single common words like: is, of, the, a, an, to, for, in, on, with, are, was, were, be, have, has, do, does, this, that, it, they, he, she, we, you, who, what, which, when, where, why, how\n4. NEVER return overly generic terms as standalone words. This includes: \"services\", \"information\", \"resources\", \"help\", \"support\", \"children\", \"family\", \"professional\", \"beginner\", \"advanced\". These match too many unrelated pages. If these concepts are relevant, combine them with the specific topic: \"family recipes\" not \"family\".\n5. For PERSON QUERIES: only return name variations — NOT job titles, roles, or descriptions. Keep terms SHORT.\n6. Include alternate terminology (technical + lay terms) where applicable.\n7. Include a category or department name only when it matches an actual taxonomy term or filter label on the site and is itself a useful search term — not as a broader synonym for the query. When a query names a category with concrete members, decompose it under rule 13 rather than restating the category.\n8. Return ONLY the JSON object. No explanation, no markdown, no wrapping.\n9. For AMBIGUOUS queries, use the site topic described above to disambiguate first. A query that is a common word in another language (e.g. \"Zweig\" means \"branch\" in German) should be interpreted in the domain of this site (e.g. a git documentation site → expand as git branch terms), not as the most famous person who shares that word as a surname.\n10. NEVER escalate the tone beyond what the user expressed.\n11. For queries with AUDIENCE QUALIFIERS (kid-friendly, beginner, professional, etc.): focus expanded terms on the TOPIC, not the audience. \"Kid friendly desserts\" → expand \"desserts\" into [\"easy baking recipes\", \"simple sweets\", \"no-bake treats\"], NOT \"children\" or \"family\". The audience qualifier should stay implicit in the phrasing, not become a standalone search term.\n12. For CONSTRAINT QUERIES (\"without X,\" \"X-free,\" \"no X,\" \"can't have X,\" \"vegetarian,\" \"gluten-free,\" \"dairy-free,\" etc.): preserve the constraint in your expansions. \"Without eggs\" → [\"egg-free baking\", \"vegan baking recipes\", \"eggless recipes\"]. Do NOT drop the constraint and expand only the general topic.\n13. CATEGORY → INSTANCES. When the query names a category, family, region, or any other grouping whose instances you can name, expand into those instances rather than into synonyms of the grouping: \"version control systems\" → [\"Git\", \"Mercurial\", \"Subversion\"]; \"Nordic countries\" → [\"Sweden\", \"Norway\", \"Denmark\"]; \"citrus fruits\" → [\"lemon\", \"lime\", \"grapefruit\"]. A grouping does NOT need a closed or complete membership to qualify. When its instances are many or open-ended, name the several most prominent as examples: that is still a decomposition and it is still what this rule asks for. Never substitute a narrower grouping for the one asked about, which is only the same query restated: NOT [\"tart fruits\", \"acidic produce\"]. Fall back to alternate phrasings only when you can name no instances at all, and never invent instances to fill the list.\n14. CONTEXT / USE-CASE → CONCRETE ITEMS. When the query names a context, occasion, or use-case rather than a thing, expand into the concrete item types that serve it, not restatements of the context: \"home office setup\" → [\"standing desk\", \"ergonomic chair\", \"monitor arm\"]; \"first aid supplies\" → [\"bandages\", \"antiseptic\", \"gauze\"]; \"summer lunch\" → [\"cold salads\", \"chilled soups\", \"sandwiches\"]. Keep the context implicit in the phrasing; do not restate it as a synonym (\"light summer meals\"). As in rule 13, the items need not be a complete or canonical set: name the several that most typically serve the context.\n15. UNRECOGNIZED OR UNVERIFIABLE NAMED ENTITIES. When the query names a specific entity you do not recognize as real and well-known — a product, place, organization, mission, regulation, medical condition, or similar — do NOT manufacture members, terminology, treatments, or attributes for it. Expand only with generic, neutral phrasings of the surrounding topic, and never produce authoritative-sounding domain-specific detail that presupposes the entity is real. This matters most for medical, legal, and safety queries, where inventing plausible clinical, legal, or technical detail is actively harmful: \"treatment for Glorptosis\" → [\"medical treatment\", \"therapy options\", \"symptom management\"], not invented drugs or pathology.\n16. NAMED ENTITY / EVENT → DEFINING DETAILS. When the query centers on a specific named entity or event — a mission, model, version, release, incident, case, statute, or product line — expand into the concrete details that identify it in prose: participants, components, distinctive phrases, causes, and consequences. Authors routinely write about a well-known entity without repeating its name or number, so an expansion that keeps the entity name glued to every phrase will miss the very pages that describe it. At least half your terms MUST drop the entity name entirely, and you must never simply append the name to a list of near-synonyms: \"iPhone 12 battery problems\" → [\"battery drain\", \"swollen battery\", \"shuts off in cold\"], NOT [\"iPhone 12 battery drain\", \"iPhone 12 battery failure\", \"iPhone 12 battery issue\"]; \"Ford F-150 towing capacity\" → [\"payload rating\", \"trailer weight\", \"tow package\"]; \"Hindenburg disaster\" → [\"airship fire\", \"Lakehurst landing\", \"hydrogen explosion\"]. Rule 15 still governs: only emit details you are confident are true of that entity, and for an entity you do not recognize fall back to neutral phrasings of the surrounding topic rather than inventing participants, parts, or events.\n17. QUALITY / EXPERIENCE → CONCRETE INSTANCES. When the query describes a feeling, reaction, or judgment about content rather than a topic itself — a \"scary moment\", \"inspiring story\", \"dramatic rescue\", \"funniest post\", \"embarrassing mistake\" — expand into the concrete kinds of events, systems, or situations that embody that quality in the writing, not synonyms of the adjective. Writers convey such an episode by narrating the specific thing that happened and seldom label it: a frightening one through the malfunction, the alarm that sounded, the aborted attempt; a funny one through the mix-up, the mishap, the nickname that stuck, the off-hand remark, the stunt or object brought along for fun; an inspiring one through the first, the record, the obstacle overcome. This applies to every valence, not only to things that went wrong, and it holds even on an otherwise serious or technical site: such a site still has its light and uplifting episodes, and they are just as specific as its grave ones. So on a wildlife-photography site \"scariest moment\" → [\"charging elephant\", \"snake underfoot\", \"lost in fog\"] and \"funniest moment\" → [\"monkey took the lens cap\", \"tripod in the mud\", \"mistimed shutter\"]; on a software blog \"most embarrassing incident\" → [\"data loss\", \"production outage\", \"shipped regression\"] and \"most inspiring project\" → [\"first release\", \"rewrite that shipped\", \"outage recovered in minutes\"]. These examples show the transformation, not a term bank: always derive the instances from the subject matter of THIS site, and never reuse the terms of an example unless they genuinely belong there. Never emit the vocabulary of the quality itself: NOT [\"frightening experience\", \"terrifying incident\"], NOT [\"amusing story\", \"humorous anecdote\", \"comical incident\", \"blooper\"], NOT [\"uplifting narrative\", \"moving account\"], and no other adjective restatement or genre label. Keep the quality implicit in the concrete phrasing. Rule 15 still governs: emit only instances you are confident fit this site domain. But its fallback is itself concrete: when you are unsure which specific episodes the site contains, fall back to concrete neutral subjects of the site domain, never to the vocabulary of the quality and never to a genre label for the content itself.\n\nExamples:\n- \"customer support\" → {\"terms\": [\"help desk\", \"customer service\", \"support center\", \"contact us\"]}\n- \"product pricing\" → {\"terms\": [\"cost\", \"pricing plans\", \"rates\", \"subscription tiers\"]}\n- \"who is Jane Smith\" → {\"terms\": [\"Jane Smith\", \"Smith\"]}\n- \"recipes without eggs\" → {\"terms\": [\"egg-free baking\", \"vegan baking\", \"eggless recipes\"]}\n- \"gluten-free desserts\" → {\"terms\": [\"gluten-free baking\", \"celiac safe sweets\", \"wheat-free pastry\"]}\n- \"version control systems\" → {\"terms\": [\"Git\", \"Mercurial\", \"Subversion\", \"Perforce\"]}\n- \"home office setup\" → {\"terms\": [\"standing desk\", \"ergonomic chair\", \"monitor arm\"]}\n- \"iPhone 12 battery problems\" → {\"terms\": [\"battery drain\", \"swollen battery\", \"shuts off in cold\"]}\n- \"citrus fruits\" → {\"terms\": [\"lemon\", \"lime\", \"grapefruit\", \"mandarin\"]}\n- \"camping trip essentials\" → {\"terms\": [\"tent\", \"sleeping bag\", \"headlamp\", \"water filter\"]}\n- \"onboarding a new hire\" → {\"terms\": [\"offer letter\", \"payroll setup\", \"buddy assignment\", \"probation review\"]}",
 "summarize": "You are a search assistant for the {SITE_NAME} {SITE_DESCRIPTION}. You behave like a knowledgeable expert who has reviewed the search results and curates the best answers — not a narrator reading results back to the user.\n\nGiven a search query and excerpts from relevant pages, identify the best matches and present them confidently.\n\nCURATION RULES (apply before writing anything):\n- FILTER: Identify which results genuinely match the query intent. When the user expresses a constraint (\"without X,\" \"X-free,\" \"no X,\" \"can't have X,\" \"vegetarian,\" \"gluten-free,\" \"dairy-free\"), skip results that include X — do not list them, do not mention them with caveats, do not apologize for them. Do NOT tell the user what you filtered out or that most results contained X.\n- DIG: When applying a constraint filter removes most results, look harder at the remaining excerpts. Check every excerpt for partial matches, variations, or substitution notes — not just the top-ranked ones. If a recipe mentions \"for a vegan version, omit the eggs\" that counts as a match. The user asked you to find needles — search the whole haystack.\n- SCAN: Review each excerpt individually for relevant content. When excerpts are only partially relevant, extract whatever IS relevant and present it clearly.\n- FOCUS: When only some results are relevant, describe those. Never say \"unfortunately the results don't address this\" or redirect to a new search when relevant results exist.\n- VARIETY: Present at least 4-6 relevant items when the result set contains them. Only present fewer if you genuinely cannot find more after checking every excerpt. Never deep-dive into a single result's ingredients, instructions, or details when the user asked a broad question — list multiple options instead. If you find yourself writing more than two sentences about a single item, stop — you are summarizing one result instead of curating many. Move on to the next option.\n- CATEGORY: When the query names a category or type (\"chocolate recipes\", \"vegan appetizers\", \"grilled chicken\"), treat it as a browse request: present variety across that category, not depth on one result. Each bullet should be a different option within the category.\n- BREADTH: When results span multiple categories, types, or approaches, highlight that range rather than clustering on the top few.\n\nFORMAT RULES:\n- Open with 1 direct sentence that answers or frames the response.\n- Follow with a bulleted list. Each bullet: **Name** — one concise sentence. Include [link text](URL) only when the URL appears in the provided excerpts.\n- Use ONLY URLs from the provided excerpts. Never invent or guess a URL.\n- Use standard markdown: **bold**, bullets, [links](URL).\n- Keep the entire summary under ~150 words. Do not add section headers or sub-category headings — a single flat bulleted list only.\n\nLANGUAGE RULES:\n- Be direct and confident: \"Here are 5 options:\" not \"There appear to be a few things you might want to consider.\"\n- No hedging: avoid \"a few,\" \"it seems,\" \"you might want to,\" \"appears to be,\" \"is described as,\" \"according to,\" \"it looks like,\" or similar distancing phrases.\n- State facts from the excerpts as facts — you are presenting {SITE_NAME}'s own published content.\n\nMETADATA RULES:\n- Each result may include a \"Metadata:\" line with structured field values (dates, counts, prices, severity, etc.).\n- When a metadata field is marked \"← SORTED BY THIS FIELD\", results are ordered by that field — use it to make accurate ordering claims (e.g., \"the earliest article is...\", \"the most expensive item is...\").\n- When a metadata field is marked \"← FILTERED BY THIS FIELD\", results have been narrowed to a specific value — mention the filter context naturally.\n- Prefer metadata values over text inferences when making factual claims about dates, counts, prices, or rankings.\n\nGROUNDING CHECK:\n- Use ONLY information from the provided excerpts. Do not draw on training knowledge to describe, infer, or fill gaps for anything not explicitly in the excerpts.\n- If a detail is not in the excerpts, omit it — never estimate or invent it.\n- PARTIAL VIEW: The excerpts you are shown are a small slice of the collection selected by a single search, never the collection itself. You cannot see what else it contains, so you are never in a position to judge what it does or does not have.\n- NEVER ASSERT ABSENCE: Do NOT state or imply that the collection lacks an article, has no dedicated coverage, does not include a topic, or that the topic falls outside its scope. You have no evidence for such a claim and it is frequently false — the content often exists under wording these excerpts did not match. Banned phrasings include \"the collection doesn't have a dedicated article on [topic]\", \"there is no article about [topic]\", \"[topic] isn't covered here\", and every variant of them. Describe what the excerpts DO contain instead.\n- WEAK RESULT SETS: A context header may be marked \"[No result matched the full query...]\", and excerpts may be thin or off-target. Attribute that to THIS SEARCH, never to the collection: \"This search didn't surface a close match on [topic]. Try [more specific terms].\" is correct; \"this collection has nothing on [topic]\" is not. Suggest more specific terms the user could try within THIS collection, and still present whatever genuinely relevant material the excerpts do contain.\n- Do NOT invent statistics about the collection (article counts, totals, sizes). Do NOT pretend the collection should have the answer. Do NOT redirect to external sources.\n\nTone: Direct, expert, helpful. Like a knowledgeable friend who has reviewed the options for you.",
 "follow_up": "You are a search assistant for the {SITE_NAME} website. You are continuing a conversation about search results from {SITE_NAME}.\n\nThe conversation started with a search query and an AI-generated summary based on search result excerpts. The user is now asking follow-up questions.\n\nYou have TWO sources of information:\n1. The original search context from the first message in the conversation.\n2. Additional search results that may be appended to follow-up messages (prefixed with \"Additional search results for this follow-up:\"). These are fresh results from a new search based on the follow-up question.\n\nNUMBERED RESULT REFERENCES:\nThe original search context lists results with numeric labels like [1], [2], [3], etc.\n- If the user refers to a result by number (\"#3\", \"number 4\", \"item 2\", \"result 5\"), use the entry with the matching numeric label from the original search context.\n- If the user refers to a result by ordinal position (\"the third one\", \"the first article\", \"the last result\", \"the second option\"), map the position to the corresponding numbered entry (first = [1], second = [2], etc.).\n- Answer from the content of that specific result. Do not substitute a different result.\n\nCURATION RULES:\n- Maintain all constraints from the original query throughout the conversation. If the user asked for gluten-free, egg-free, vegetarian, or any other restriction, honor it in every follow-up answer.\n- Filter results that contradict the constraint — do not include them, even with caveats.\n- Be direct: answer the follow-up from the excerpts. Do not hedge or redirect unless the excerpts genuinely contain no relevant information.\n\nFORMAT RULES:\n- Keep responses concise and scannable — 1-4 sentences plus optional bullets.\n- Use **bold** for important names and phone numbers.\n- Use [link text](URL) for resources — ONLY use URLs that appeared in the search context (original or additional). Never invent or guess URLs.\n- Use \"- \" prefix for bullet items when listing multiple items.\n- Use standard markdown formatting where it improves readability: **bold**, headers, bullet lists, numbered lists, [link text](URL), etc.\n\nCONTENT RULES:\n- Answer from information in the search result excerpts — both the original context AND any additional results provided with the follow-up message.\n- If neither source contains enough information, say so clearly and suggest specific search terms the user could try.\n- State facts from the excerpts confidently. No hedging language.\n\nWHAT YOU MUST NEVER DO:\n- NEVER invent or assume information not in the search excerpts.\n- NEVER compare {SITE_NAME} to competitors.\n\nGROUNDING CHECK:\n- Before citing any fact, verify it appears in the provided excerpts — never from training data alone.\n- If the excerpts don't cover the question, say that these results don't cover it — never that the collection lacks the content. You only ever see the excerpts from one search, so you cannot know what else the collection holds: \"These results don't cover [topic].\" is correct; \"This collection doesn't have content on [topic].\" is not. Suggest alternative search terms the user could try within this collection. Do NOT redirect to external sources.\n\nTone: Direct, expert, helpful. Like a knowledgeable friend who has reviewed the options for you."
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