wxrks: Your AI Translation Operating System

{ "label": "Round 1 — Claude Code alone, quick question", "prompt": "How many words does the website wxrks.com have?", "model": "claude-opus-5[1m]", "claude_code": "2.1.220", "answer": "The background crawl will notify me when it completes — no extra watcher needed.", "num_turns": 26, "duration_ms": 674665, "total_cost_usd": 1.3003495, "usage": { "input_tokens": 52, "cache_creation_input_tokens": 36583, "cache_read_input_tokens": 1057669, "output_tokens": 16217, "server_tool_use": { "web_search_requests": 0, "web_fetch_requests": 0 }, "service_tier": "standard", "cache_creation": { "ephemeral_1h_input_tokens": 36583, "ephemeral_5m_input_tokens": 0 }, "inference_geo": "global", "iterations": [ { "input_tokens": 2, "output_tokens": 138, "cache_read_input_tokens": 56018, "cache_creation_input_tokens": 722, "cache_creation": { "ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 722 }, "type": "message" } ], "speed": "standard" }, "finished_as": "success", "steps": [ { "say": "I'll fetch the site and count its words directly." }, { "tool": "Bash", "input": { "command": "cd 2>/dev/null || cd /tmp; curl -sL -o wxrks.html -w \"HTTP %{http_code} | final URL: %{url_effective} | bytes: %{size_download}\\n\" https://wxrks.com", "description": "Fetch wxrks.com homepage HTML" }, "output": "Multiple directory changes in one command require approval for clarity", "error": true }, { "tool": "Bash", "input": { "command": "curl -sL -o -w \"HTTP %{http_code} | final: %{url_effective} | bytes: %{size_download}\\n\" https://wxrks.com", "description": "Fetch wxrks.com homepage" }, "output": "HTTP 200 | final: https://wxrks.com/ | bytes: 234739", "error": false }, { "tool": "Bash", "input": { "command": "cd && python3 - <<'EOF'\nimport re\nh=open('wxrks.html',encoding='utf-8',errors='replace').read()\nprint(\"len\",len(h))\nprint(h[:1500])\nEOF", "description": "Inspect start of fetched HTML" }, "output": "len 234522\nwxrks: Your AI Translation Operating System && curl -sL -o sitemap.xml -w \"sitemap HTTP %{http_code} bytes %{size_download}\\n\" https://wxrks.com/sitemap.xml && head -c 600 sitemap.xml && echo && grep -c \"\" sitemap.xml", "description": "Fetch and inspect sitemap.xml" }, "output": "sitemap HTTP 200 bytes 18652248\n\r\n\r\n \r\n https://wxrks.com/pt\r\n 2026-11-03T22:11:33.777Z\r\n \r\n \r\n \r\n \r\n ", "error": false }, { "say": "10,609 URLs. Let me break down the structure before crawling." }, { "tool": "Bash", "input": { "command": "cd && python3 - <<'EOF'\nimport re,collections\nx=open('sitemap.xml',encoding='utf-8',errors='replace').read()\nlocs=re.findall(r'(.*?)',x)\nprint(\"total locs:\",len(locs),\"unique:\",len(set(locs)))\nlangs={'pt','es','fr','de','ko','it','ar','zh','ja','sv'}\nbuck=collections.Counter()\nfor u in locs:\n p=u.replace('https://wxrks.com','').strip('/')\n first=p.split('/')[0] if p else '(home)'\n buck[first if first in langs or not p else 'EN:'+first]+=1\nfor k,v in buck.most_common(40): print(f\"{v:6d} {k}\")\nEOF", "description": "Categorize sitemap URLs by language and section" }, "output": "Contains brace with quote character (expansion obfuscation)", "error": true }, { "tool": "Write", "input": { "file_path": "", "content": "import re, collections\n\nx = open('sitemap.xml', encoding='utf-8', errors='replace').read()\nlocs = re.findall(r'(.*?)', x)\nprint(\"total locs:\", len(locs), \"unique:\", len(set(locs)))\n\nlangs = ['pt', 'es', 'fr', 'de', 'ko', 'it', 'ar', 'zh', 'ja', 'sv']\nbuck = collections.Counter()\nen_sections = collections.Counter()\n\nfor u in locs:\n p = u.replace('https://wxrks.com', '').strip('/')\n parts = p.split('/') if p else []\n first = parts[0] if parts else '(home)'\n if first in langs:\n buck['LANG:' + first] += 1\n else:\n buck['EN'] += 1\n en_sections[first if parts else '(home)'] += 1\n\nprint(\"\\n-- by language bucket --\")\nfor k, v in buck.most_common():\n print(\"%7d %s\" % (v, k))\n\nprint(\"\\n-- EN top-level sections --\")\nfor k, v in en_sections.most_common(40):\n print(\"%7d %s\" % (v, k))\n\nen = [u for u in set(locs) if (u.replace('https://wxrks.com', '').strip('/').split('/')[0] or '(home)') not in langs]\nprint(\"\\nunique EN urls:\", len(en))\nopen('en_urls.txt', 'w').write(\"\\n\".join(sorted(en)))\nopen('all_urls.txt', 'w').write(\"\\n\".join(sorted(set(locs))))\n" }, "output": "File created successfully at: (file state is current in your context — no need to Read it back)", "error": false }, { "tool": "Bash", "input": { "command": "cd && python3 analyze.py", "description": "Run sitemap analysis" }, "output": "total locs: 10609 unique: 10609\n\n-- by language bucket --\n 1152 EN\n 963 LANG:pt\n 963 LANG:es\n 963 LANG:fr\n 963 LANG:de\n 957 LANG:ko\n 936 LANG:sv\n 934 LANG:it\n 934 LANG:zh\n 929 LANG:ar\n 915 LANG:ja\n\n-- EN top-level sections --\n 934 blog\n 78 episode\n 26 authors\n 14 pricing-items\n 13 platform\n 12 solutions\n 7 industries\n 7 papers\n 7 terms\n 7 industrie\n 3 services\n 2 customer-success\n 1 (home)\n 1 work-with-us\n 1 languages\n 1 security\n 1 careers-translators\n 1 cases\n 1 pricing\n 1 integrations\n 1 contact\n 1 about\n 1 signup\n 1 links\n 1 ai-impact-survey\n 1 survey\n 1 reward\n 1 support-us\n 1 chat\n 1 free-flow\n 1 zendesk-translation\n 1 testimonials\n 1 bureau-works-vs-key-based-localization\n 1 sous-chef\n 1 operating-system-for-translation\n 1 contentful-translation\n 1 semantic-verifier-translation-smells\n 1 portal\n 1 context-sensitivity\n 1 wxrks-cli\n\nunique EN urls: 1152\nShell cwd was reset to ", "error": false }, { "say": "Site structure: **1,152 English pages** (934 of them blog posts) plus 10 translated mirrors (~9,457 pages) = 10,609 total. Let me crawl and count the actual text." }, { "tool": "Bash", "input": { "command": "python3 -c \"import sys; print(sys.version)\"; python3 -c \"import bs4; print('bs4', bs4.__version__)\" 2>&1 | tail -1; python3 -c \"import lxml; print('lxml ok')\" 2>&1 | tail -1", "description": "Check Python version and HTML parsing libraries" }, "output": "3.14.7 (main, Aug 5 2026, 10:29:49) [Clang 21.0.0 (clang-2100.1.1.101)]\nModuleNotFoundError: No module named 'bs4'\nModuleNotFoundError: No module named 'lxml'", "error": false }, { "tool": "Write", "input": { "file_path": "", "content": "\"\"\"Crawl a list of URLs and count visible words per page.\"\"\"\nimport sys, re, json, urllib.request, gzip, io\nfrom html.parser import HTMLParser\nfrom html import unescape\nfrom concurrent.futures import ThreadPoolExecutor\n\nSKIP = {'script', 'style', 'noscript', 'svg', 'head', 'title', 'template', 'iframe', 'canvas'}\n\n\nclass TextExtractor(HTMLParser):\n def __init__(self):\n super().__init__(convert_charrefs=True)\n self.depth = 0\n self.out = []\n self.hidden = 0\n\n def handle_starttag(self, tag, attrs):\n if tag in SKIP:\n self.depth += 1\n if self.depth == 0 and tag != 'br':\n a = dict(attrs)\n style = (a.get('style') or '').replace(' ', '').lower()\n if 'display:none' in style or a.get('aria-hidden') == 'true' or 'hidden' in a:\n pass # noted but not excluded; Webflow uses display:none for interactions\n self.out.append(' ')\n\n def handle_endtag(self, tag):\n if tag in SKIP and self.depth > 0:\n self.depth -= 1\n self.out.append(' ')\n\n def handle_data(self, data):\n if self.depth == 0:\n self.out.append(data)\n\n def text(self):\n t = ''.join(self.out)\n t = t.replace(' ', ' ').replace('', '')\n return re.sub(r'\\s+', ' ', t).strip()\n\n\n# Latin-script word tokens; CJK chars counted separately\nWORD_RE = re.compile(r\"[0-9A-Za-zÀ-ɏͰ-ϿЀ-ӿ֐-׿؀-ۿ]+(?:['’-][0-9A-Za-zÀ-ɏ]+)*\")\nCJK_RE = re.compile(r\"[぀-ヿ㐀-䶿一-鿿가-힯豈-﫿]\")\n\n\ndef fetch(url, tries=3):\n for i in range(tries):\n try:\n req = urllib.request.Request(url, headers={\n 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 '\n '(KHTML, like Gecko) Chrome/124.0 Safari/537.36',\n 'Accept-Encoding': 'gzip',\n 'Accept': 'text/html',\n })\n with urllib.request.urlopen(req, timeout=45) as r:\n raw = r.read()\n if r.headers.get('Content-Encoding') == 'gzip':\n raw = gzip.GzipFile(fileobj=io.BytesIO(raw)).read()\n return raw.decode('utf-8', 'replace'), r.status\n except Exception as e:\n if i == tries - 1:\n return None, str(e)\n return None, 'fail'\n\n\ndef process(url):\n html, status = fetch(url)\n if html is None:\n return {'url': url, 'error': status}\n p = TextExtractor()\n try:\n p.feed(html)\n except Exception as e:\n return {'url': url, 'error': 'parse:%s' % e}\n txt = p.text()\n words = WORD_RE.findall(txt)\n cjk = CJK_RE.findall(txt)\n return {\n 'url': url,\n 'words': len(words),\n 'cjk_chars': len(cjk),\n 'chars': len(txt),\n 'bytes': len(html),\n 'text': txt,\n }\n\n\ndef main():\n urls = [l.strip() for l in open(sys.argv[1]) if l.strip()]\n outpath = sys.argv[2]\n workers = int(sys.argv[3]) if len(sys.argv) > 3 else 16\n done = 0\n with open(outpath, 'w', encoding='utf-8') as f, ThreadPoolExecutor(workers) as ex:\n for res in ex.map(process, urls):\n done += 1\n f.write(json.dumps(res, ensure_ascii=False) + '\\n')\n if done % 100 == 0:\n print('%d/%d' % (done, len(urls)), flush=True)\n print('done %d' % done)\n\n\nif __name__ == '__main__':\n main()\n" }, "output": "File created successfully at: (file state is current in your context — no need to Read it back)", "error": false }, { "say": "Let me validate the extractor on a few pages first." }, { "tool": "Bash", "input": { "command": "cd && printf 'https://wxrks.com/\\nhttps://wxrks.com/pricing\\nhttps://wxrks.com/about\\n' > test_urls.txt && python3 crawl.py test_urls.txt test_out.jsonl 3 && python3 -c \"\nimport json\nfor l in open('test_out.jsonl',encoding='utf-8'):\n d=json.loads(l)\n print(d['url'], d.get('words'), 'words |', d.get('chars'),'chars')\n print(' SAMPLE:', (d.get('text') or d.get('error'))[:300].replace(chr(10),' '))\n print()\n\"", "description": "Test extractor on three pages" }, "output": "Commands that change directories and write via output redirection require explicit approval to ensure paths are evaluated correctly. For security, Claude Code cannot automatically determine the final working directory when 'cd' is used in compound commands.", "error": true }, { "tool": "Write", "input": { "file_path": "", "content": "https://wxrks.com/\nhttps://wxrks.com/pricing\nhttps://wxrks.com/about\n" }, "output": "File created successfully at: (file state is current in your context — no need to Read it back)", "error": false }, { "tool": "Bash", "input": { "command": "S= python3 $S/crawl.py $S/test_urls.txt $S/test_out.jsonl 3 && python3 -c \"\nimport json,sys\nfor l in open(sys.argv[1],encoding='utf-8'):\n d=json.loads(l)\n print(d['url'], d.get('words'), 'words |', d.get('chars'),'chars')\n print(' SAMPLE:', (d.get('text') or d.get('error'))[:260])\n print()\n\" $S/test_out.jsonl", "description": "Test extractor on three pages" }, "output": "done 3\nhttps://wxrks.com/ 1837 words | 12399 chars\n SAMPLE: Platform The wxrks Platform Unleash translation super-powers High-level overview tools Augmented Actions All of the actions in wxrks that are powered by Generative AI to help you translate twice as fast while maintaining top quality. Context Sensitivity Mesh t\n\nhttps://wxrks.com/pricing 2209 words | 15484 chars\n SAMPLE: Platform The wxrks Platform Unleash translation super-powers High-level overview tools Augmented Actions All of the actions in wxrks that are powered by Generative AI to help you translate twice as fast while maintaining top quality. Context Sensitivity Mesh t\n\nhttps://wxrks.com/about 937 words | 6720 chars\n SAMPLE: Platform The wxrks Platform Unleash translation super-powers High-level overview tools Augmented Actions All of the actions in wxrks that are powered by Generative AI to help you translate twice as fast while maintaining top quality. Context Sensitivity Mesh t", "error": false }, { "say": "Extraction works (each page carries the nav megamenu as boilerplate — I'll account for that). Now the full crawl." }, { "tool": "Bash", "input": { "command": "S= python3 -c \"\nimport sys\nS=sys.argv[1]\nallu=[l.strip() for l in open(S+'/all_urls.txt') if l.strip()]\nen=set(l.strip() for l in open(S+'/en_urls.txt') if l.strip())\nnon=[u for u in allu if u not in en]\nopen(S+'/non_en_urls.txt','w').write(chr(10).join(non))\nprint('en',len(en),'non-en',len(non),'total',len(allu))\n\" $S", "description": "Split URL list into EN and non-EN" }, "output": "en 1152 non-en 9457 total 10609", "error": false }, { "tool": "Bash", "input": { "command": "S= python3 $S/crawl.py $S/en_urls.txt $S/en_out.jsonl 16 > $S/en_log.txt 2>&1; echo \"EN crawl exit=$?\"; tail -3 $S/en_log.txt", "description": "Crawl all 1152 English pages", "run_in_background": true }, "output": "Redirect target concatenation contains $/` — unanalyzable gap or substitution", "error": true }, { "tool": "Bash", "input": { "command": "python3 16", "description": "Crawl all 1152 English pages", "run_in_background": true }, "output": "Command running in background with ID: bcii9eydy. Output is being written to: You will be notified when it completes. To check interim output, use Read on that file path.", "error": false }, { "tool": "Bash", "input": { "command": "python3 16", "description": "Crawl 9457 translated pages", "run_in_background": true }, "output": "Command running in background with ID: bs0mreikv. Output is being written to: You will be notified when it completes. To check interim output, use Read on that file path.", "error": false }, { "say": "While those run, let me write the analysis (including boilerplate detection, since nav/footer chrome repeats on every page)." }, { "tool": "Write", "input": { "file_path": "", "content": "\"\"\"Summarize crawl results: totals, boilerplate, per-section and per-language breakdown.\"\"\"\nimport json, re, sys, collections\n\nS = ''\nWORD_RE = re.compile(r\"[0-9A-Za-zÀ-ɏͰ-ϿЀ-ӿ֐-׿؀-ۿ]+(?:['’-][0-9A-Za-zÀ-ɏ]+)*\")\nLANGS = ['pt', 'es', 'fr', 'de', 'ko', 'it', 'ar', 'zh', 'ja', 'sv']\n\n\ndef load(path):\n rows = []\n for line in open(path, encoding='utf-8'):\n line = line.strip()\n if line:\n rows.append(json.loads(line))\n return rows\n\n\ndef boilerplate(pages, thresh=0.9):\n \"\"\"Longest word-level prefix and suffix shared by >=thresh of pages.\"\"\"\n toks = [WORD_RE.findall(p['text']) for p in pages if p.get('text')]\n toks = [t for t in toks if len(t) > 20]\n if not toks:\n return 0, 0, [], []\n n = len(toks)\n need = int(n * thresh)\n\n def longest(seqs, rev):\n ref = max(seqs, key=len)\n ref = ref[::-1] if rev else ref\n lo, hi = 0, min(400, len(ref))\n best = 0\n while lo <= hi:\n mid = (lo + hi) // 2\n pat = ref[:mid]\n cnt = 0\n for s in seqs:\n ss = s[::-1] if rev else s\n if ss[:mid] == pat:\n cnt += 1\n if cnt >= need:\n best = mid\n lo = mid + 1\n else:\n hi = mid - 1\n pat = ref[:best]\n return best, (pat[::-1] if rev else pat)\n\n pl, pw = longest(toks, False)\n sl, sw = longest(toks, True)\n return pl, sl, pw, sw\n\n\ndef section(url):\n p = url.replace('https://wxrks.com', '').strip('/')\n parts = p.split('/') if p else []\n if not parts:\n return '(homepage)'\n return parts[0]\n\n\ndef lang_of(url):\n s = section(url)\n return s if s in LANGS else 'en'\n\n\ndef summarize(name, pages):\n ok = [p for p in pages if 'words' in p]\n err = [p for p in pages if 'error' in p]\n tot = sum(p['words'] for p in ok)\n cjk = sum(p.get('cjk_chars', 0) for p in ok)\n print('\\n=== %s ===' % name)\n print('pages crawled OK : %d (errors: %d)' % (len(ok), len(err)))\n print('total words (whitespace/latin tokens): %d' % tot)\n if cjk:\n print('CJK characters (not whitespace-separated): %d' % cjk)\n if ok:\n print('mean words/page : %.0f median: %d' % (\n tot / len(ok), sorted(p['words'] for p in ok)[len(ok) // 2]))\n if err:\n c = collections.Counter(str(p['error'])[:60] for p in err)\n print('error kinds:', dict(c.most_common(5)))\n return ok, tot, cjk, err\n\n\nif __name__ == '__main__':\n en = load(S + 'en_out.jsonl')\n ok_en, tot_en, cjk_en, err_en = summarize('ENGLISH SITE', en)\n\n pl, sl, pw, sw = boilerplate(ok_en)\n chrome = pl + sl\n print('\\n-- repeated chrome (nav + footer) --')\n print('shared prefix words: %d' % pl)\n print('shared suffix words: %d' % sl)\n print('chrome per page : %d words' % chrome)\n uniq = tot_en - chrome * len(ok_en) + chrome\n print('unique body content (chrome counted once): %d words' % uniq)\n print('prefix starts: %s ...' % ' '.join(pw[:14]))\n print('suffix ends : ... %s' % ' '.join(sw[-14:]))\n\n print('\\n-- EN words by section --')\n bysec = collections.Counter()\n cntsec = collections.Counter()\n for p in ok_en:\n s = section(p['url'])\n bysec[s] += max(0, p['words'] - chrome)\n cntsec[s] += 1\n for s, w in bysec.most_common(15):\n print('%9d body words %5d pages %s' % (w, cntsec[s], s))\n\n # longest pages\n print('\\n-- longest EN pages --')\n for p in sorted(ok_en, key=lambda d: -d['words'])[:5]:\n print('%7d %s' % (p['words'], p['url']))\n\n try:\n non = load(S + 'nonen_out.jsonl')\n except FileNotFoundError:\n non = []\n if non:\n ok_n, tot_n, cjk_n, err_n = summarize('TRANSLATED PAGES', non)\n print('\\n-- by language --')\n bl = collections.Counter(); bc = collections.Counter(); bj = collections.Counter()\n for p in ok_n:\n lg = lang_of(p['url'])\n bl[lg] += p['words']; bc[lg] += 1; bj[lg] += p.get('cjk_chars', 0)\n for lg, w in bl.most_common():\n extra = ' + %d CJK chars' % bj[lg] if bj[lg] > 1000 else ''\n print('%4s: %9d words (%4d pages)%s' % (lg, w, bc[lg], extra))\n print('\\nGRAND TOTAL all %d pages: %d words' % (len(ok_en) + len(ok_n), tot_en + tot_n))\n print(' + %d CJK characters in zh/ja (no spaces between words)' % (cjk_en + cjk_n))\n" }, "output": "File created successfully at: (file state is current in your context — no need to Read it back)", "error": false }, { "tool": "Edit", "input": { "replace_all": false, "file_path": "", "old_string": " if line:\n rows.append(json.loads(line))", "new_string": " if line:\n try:\n rows.append(json.loads(line))\n except json.JSONDecodeError:\n pass # tolerate a partially-written last line while crawl is in flight" }, "output": "The file has been updated successfully. (file state is current in your context — no need to Read it back)", "error": false }, { "tool": "Bash", "input": { "command": "python3 ", "description": "Generate word count report", "timeout": 300000 }, "output": "=== ENGLISH SITE ===\npages crawled OK : 1149 (errors: 3)\ntotal words (whitespace/latin tokens): 2256008\nCJK characters (not whitespace-separated): 8681\nmean words/page : 1963 median: 1965\nerror kinds: {'HTTP Error 404: Not Found': 3}\n\n-- repeated chrome (nav + footer) --\nshared prefix words: 400\nshared suffix words: 119\nchrome per page : 519 words\nunique body content (chrome counted once): 1660196 words\nprefix starts: Platform The wxrks Platform Unleash translation super-powers High-level overview tools Augmented Actions All of ...\nsuffix ends : ... 2026 wxrks All rights reserved Request an AI summary of wxrks Make it wxrks\n\n-- EN words by section --\n 1550774 body words 931 pages blog\n 24417 body words 26 pages authors\n 14136 body words 13 pages platform\n 12097 body words 12 pages solutions\n 9589 body words 7 pages terms\n 6028 body words 14 pages pricing-items\n 5732 body words 7 pages industries\n 5400 body words 7 pages industrie\n 4088 body words 1 pages merging-minds\n 3857 body words 3 pages services\n 2370 body words 1 pages enterprise-tms\n 2082 body words 1 pages enterprise\n 1800 body words 1 pages webflow-localize-vs-wxrks\n 1690 body words 1 pages pricing\n 1655 body words 7 pages papers\n\n-- longest EN pages --\n 11671 https://wxrks.com/blog/ai-statistics-500-facts-driving-global-innovation\n 7118 https://wxrks.com/blog/what-i … [680 more characters]", "error": false }, { "say": "English site is done: **2,256,008 words** across 1,149 pages. Let me spot-check accuracy while the translated crawl continues." }, { "tool": "Bash", "input": { "command": "python3 -c \"\nimport json,re\nS=''\nW=re.compile(r\\\"[0-9A-Za-z]+(?:['-][0-9A-Za-z]+)*\\\")\nrows=[json.loads(l) for l in open(S+'en_out.jsonl',encoding='utf-8') if l.strip()]\nd=[r for r in rows if r['url'].endswith('/blog/what-is-a-cat-tool')][0]\nt=d['text']\nprint('words:',d['words'])\n# check for duplicated nav blocks within one page\nprint('occurrences of nav phrase \\\"Unleash translation super-powers\\\":', t.count('Unleash translation super-powers'))\nprint('occurrences of \\\"All rights reserved\\\":', t.count('All rights reserved'))\nprint()\nprint('BODY after chrome (400 tok prefix):')\ntoks=W.findall(t)\nprint(' '.join(toks[400:520]))\nprint()\nprint('TAIL:', ' '.join(toks[-140:]))\n\"", "description": "Spot-check a blog page for duplicate nav and body extraction" }, "output": "Newline followed by # inside a quoted argument can hide arguments from path validation", "error": true }, { "tool": "Write", "input": { "file_path": "", "content": "import json, re\n\nS = ''\nW = re.compile(r\"[0-9A-Za-z]+(?:['-][0-9A-Za-z]+)*\")\nrows = [json.loads(l) for l in open(S + 'en_out.jsonl', encoding='utf-8') if l.strip()]\nd = [r for r in rows if r['url'].endswith('/blog/what-is-a-cat-tool')][0]\nt = d['text']\nprint('words:', d['words'])\nprint('nav phrase repeats:', t.count('Unleash translation super-powers'))\nprint('footer repeats:', t.count('All rights reserved'))\ntoks = W.findall(t)\nprint()\nprint('--- body right after the 400-token chrome prefix ---')\nprint(' '.join(toks[400:540]))\nprint()\nprint('--- last 130 tokens ---')\nprint(' '.join(toks[-130:]))\n" }, "output": "File created successfully at: (file state is current in your context — no need to Read it back)", "error": false }, { "tool": "Bash", "input": { "command": "python3 ", "description": "Spot-check blog page extraction" }, "output": "words: 4927\nnav phrase repeats: 1\nfooter repeats: 1\n\n--- body right after the 400-token chrome prefix ---\nawesome experience Marketplace Connect with top agencies and translators worldwide Community Join our vibrant community to share collaborate and grow Testimonials NEW Real stories from leaders using wxrks to scale globally Testimonials Real stories from localization leaders using wxrks to scale globally Content Merging Minds Workshop Papers Releases Key Based vs wxrks Localization Pricing Contact Login Get Started English Portugu s Espa ol Fran ais Deutsch Italiano Svenska Login Get started Technology What is a CAT Tool CAT tools come with a broad set of features that can make translations easier and more accurate Rodrigo Demetrio 18 min Table of Contents Project managers human resource agents and marketing professionals know translation is essential in today's business climate A global workforce customer base and corporate presence all require the ability to communicate across languages That's why the global translation service market\n\n--- last 130 tokens ---\na demo The first 14 days are on us World-class Support NEW Workshop Live Interactive Workshop December 5 2024 Company Who We Are Our Mission Careers In the News Privacy Policy Terms of Use Terms DPA Trust Center Acceptable Use Policy Cookie Policy EULA Use Cases For Translators For Enterprise For Developers For Translation Agencies For Small-Med Businesses ChatGPT Integration Content-Type Content Localization Websit … [543 more characters]", "error": false }, { "say": "Extraction is clean — no duplicated nav, full article body captured, and the page's own \"18 min read\" label matches ~4,400 body words. Let me check the translated crawl's progress." }, { "tool": "Bash", "input": { "command": "wc -l < tail -2 ", "description": "Check translated crawl progress" }, "output": " 2999\n2900/9457\n3000/9457", "error": false }, { "tool": "ToolSearch", "input": { "query": "select:Monitor", "max_results": 1 }, "output": "", "error": false }, { "say": "The English site is fully counted; the 9,457 translated pages are about a third crawled and still running. Here's where it stands:\n\n**English site (complete): 2,256,008 words** across 1,149 pages\n- 1,660,196 of those are unique body content — the other ~595k are the nav megamenu + footer (519 words of chrome) repeated on every page\n- 1,550,774 body words live in the 931 blog posts; the rest of the site (homepage, platform, solutions, pricing, terms, etc.) is about 109k words\n- 3 sitemap URLs 404\n\nI'll report the all-languages total when the translated crawl finishes." }, { "tool": "Monitor", "input": { "command": "until [ \"$(wc -l < )\" -ge 9457 ]; do sleep 20; done; echo \"translated crawl reached 9457 pages\"", "description": "translated-page crawl completion", "timeout_ms": 1800000, "persistent": false }, "output": "Contains shell syntax (string) that cannot be statically analyzed", "error": true }, { "say": "The background crawl will notify me when it completes — no extra watcher needed." } ] }