[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-1202813195ca0b8a-short-prompt-yields-perfect-agentic-update-for-new-summary":3,"summaries-facets-categories":171,"summary-related-1202813195ca0b8a-short-prompt-yields-perfect-agentic-update-for-new-summary":3740},{"id":4,"title":5,"ai":6,"body":13,"categories":119,"created_at":121,"date_modified":121,"description":94,"extension":122,"faq":121,"featured":123,"kicker_label":121,"meta":124,"navigation":153,"path":154,"published_at":121,"question":121,"scraped_at":155,"seo":156,"sitemap":157,"source_id":158,"source_name":159,"source_type":160,"source_url":161,"stem":162,"tags":163,"thumbnail_url":121,"tldr":168,"tweet":121,"unknown_tags":169,"__hash__":170},"summaries\u002Fsummaries\u002F1202813195ca0b8a-short-prompt-yields-perfect-agentic-update-for-new-summary.md","Short Prompt Yields Perfect Agentic Update for Newsletter Beats",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",5798,2019,13341,0.00214645,{"type":14,"value":15,"toc":113},"minimark",[16,21,25,75,78,82,85,95,106,110],[17,18,20],"h2",{"id":19},"prompt-patterns-that-communicate-complexity-efficiently","Prompt Patterns That Communicate Complexity Efficiently",[22,23,24],"p",{},"To update the blog-to-newsletter tool—a static HTML\u002FJS app that queries a Datasette instance for blog content and formats it for Substack pasting—use these agent instructions for precise changes without verbose explanations:",[26,27,28,41,58],"ul",{},[29,30,31,35,36,40],"li",{},[32,33,34],"strong",{},"Clone reference repo to \u002Ftmp",": ",[37,38,39],"code",{},"Clone simonw\u002Fsimonwillisonblog from github to \u002Ftmp for reference",". This lets the agent (Claude Code) inspect the Django blog's schema and logic for the new \"beats\" content type (external posts like OSS releases or museum visits from niche-museums.com), avoiding commit pollution since \u002Ftmp is transient.",[29,42,43,35,46,49,50,53,54,57],{},[32,44,45],{},"Target specific file and mimic proven logic",[37,47,48],{},"Update blog-to-newsletter.html to include beats that have descriptions - similar to how the Atom everything feed on the blog works",". Pinpointing the 200+ file repo and referencing the site's Atom feed (which filters beats with ",[37,51,52],{},"note"," commentary) transfers filtering rules (",[37,55,56],{},"coalesce(note, '') != '' and is_draft = 0",") implicitly.",[29,59,60,35,63,66,67,70,71,74],{},[32,61,62],{},"Embed self-validation",[37,64,65],{},"Run it with python -m http.server and use 'uvx rodney --help' to test it - compare what shows up in the newsletter with what's on the homepage of https:\u002F\u002Fsimonwillison.net",". Forces agent to serve statically (avoids fetch issues), use browser automation via ",[37,68,69],{},"rodney"," (whose ",[37,72,73],{},"--help"," teaches usage), and verify against live homepage beats—ensuring production-like accuracy.",[22,76,77],{},"This deceptively short prompt (~50 words) leverages reference code as a \"powerful shortcut\" for complex concepts, producing a targeted PR in one shot.",[17,79,81],{"id":80},"precise-sql-and-data-mapping-from-agent-reasoning","Precise SQL and Data Mapping from Agent Reasoning",[22,83,84],{},"The agent extended the content-fetching SQL query with a UNION clause for beats:",[86,87,92],"pre",{"className":88,"code":90,"language":91},[89],"language-text","union all select id, 'beat' as type, title, created, slug, 'No HTML' as html, \njson_object('created', date(created), 'beat_type', beat_type, 'title', title, \n'url', url, 'commentary', commentary, 'note', note) as json, url as external_url \nfrom blog_beat where coalesce(note, '') != '' and is_draft = 0 union all...\n","text",[37,93,90],{"__ignoreMap":94},"",[22,96,97,98,101,102,105],{},"It derived ",[37,99,100],{},"beat_type"," mappings (e.g., formal names) by reading the blog's Django ORM models (",[37,103,104],{},"blog\u002Fmodels.py#L545-L551","), ensuring JSON output matches existing post\u002Fstory formats for seamless newsletter rendering. Only annotated, non-draft beats appear, filtering uninteresting auto-imports like minor OSS dot-releases—mirroring Atom feed curation for higher engagement.",[17,107,109],{"id":108},"trade-offs-and-validation-wins","Trade-offs and Validation Wins",[22,111,112],{},"Reference cloning risks over-reliance on external code but cuts prompt length dramatically vs. manual schema description. Local testing catches edge cases like data-fetch failures over file:\u002F\u002F vs. http:\u002F\u002F, building agent confidence. Result: Exact PR (#268 in simonw\u002Ftools) with no regressions, deployable immediately—proving agentic patterns scale small updates reliably while hoarding reusable blog logic.",{"title":94,"searchDepth":114,"depth":114,"links":115},2,[116,117,118],{"id":19,"depth":114,"text":20},{"id":80,"depth":114,"text":81},{"id":108,"depth":114,"text":109},[120],"AI & LLMs",null,"md",false,{"content_references":125,"triage":148},[126,131,134,138,141,142,145],{"type":127,"title":128,"url":129,"context":130},"tool","blog-to-newsletter","https:\u002F\u002Ftools.simonwillison.net\u002Fblog-to-newsletter","mentioned",{"type":127,"title":132,"url":133,"context":130},"Datasette","https:\u002F\u002Fdatasette.simonwillison.net\u002F",{"type":135,"title":136,"url":137,"context":130},"other","simonw\u002Fsimonwillisonblog","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Fsimonwillisonblog",{"type":127,"title":139,"url":140,"context":130},"Claude Code on the web","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fclaude-code-on-the-web",{"type":127,"title":69,"context":130},{"type":135,"title":143,"url":144,"context":130},"simonw\u002Ftools PR #268","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Ftools\u002Fpull\u002F268",{"type":135,"title":146,"url":147,"context":130},"Claude Code session","https:\u002F\u002Fclaude.ai\u002Fcode\u002Fsession_01BibYBuvJi2qNUyCYGaY3Ss",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":152},5,4,4.55,"Category: AI & LLMs. The article provides a practical guide on using prompt engineering to enhance a blog-to-newsletter tool, directly addressing the needs of developers looking to implement AI features. It includes specific commands and testing methods that can be immediately applied, making it highly actionable.",true,"\u002Fsummaries\u002F1202813195ca0b8a-short-prompt-yields-perfect-agentic-update-for-new-summary","2026-04-19 01:22:46",{"title":5,"description":94},{"loc":154},"1202813195ca0b8a","Simon Willison's Weblog","article","https:\u002F\u002Fsimonwillison.net\u002Fguides\u002Fagentic-engineering-patterns\u002Fadding-a-new-content-type\u002F#atom-everything","summaries\u002F1202813195ca0b8a-short-prompt-yields-perfect-agentic-update-for-new-summary",[164,165,166,167],"prompt-engineering","coding-agents","agentic-engineering","github","Prompt Claude to clone blog repo as reference, mimic Atom feed logic to add annotated 'beats' to blog-to-newsletter tool, and test via local server + rodney—produces exact SQL UNION PR needed.",[165,166,167],"gWjnM4BT_MwU-GrQt0MMf7-qjc4FvpheCIPrHzd3gok",[172,175,178,180,183,186,188,190,192,194,196,198,201,203,205,207,209,211,213,215,217,219,222,225,227,229,232,234,236,239,241,243,245,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316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LLM Outputs Match Exact Taxonomies with Tries",{"provider":7,"model":8,"input_tokens":3745,"output_tokens":3746,"processing_time_ms":3747,"cost_usd":3748},7679,2345,26271,0.0026858,{"type":14,"value":3750,"toc":4093},[3751,3755,3758,3765,3768,3792,3796,3799,3970,3977,3984,4059,4066,4070,4077,4080,4083,4086,4089],[17,3752,3754],{"id":3753},"logit-masking-guarantees-valid-outputs","Logit Masking Guarantees Valid Outputs",[22,3756,3757],{},"LLMs generate tokens autoregressively, producing a logit vector over 32,000-100,000 vocabulary tokens at each step, converted to probabilities via softmax. Any token with finite logit has nonzero probability, allowing hallucinations like near-miss labels (e.g., \"Techology\" instead of \"Technology\"). Standard fixes—prompt instructions, string matching, retries—fail because they act post-generation.",[22,3759,3760,3761,3764],{},"Constrained decoding intervenes pre-sampling: set logits of invalid tokens to -∞, yielding exactly zero softmax probability. Remaining valid logits renormalize to sum to 1. This works for any sampling (greedy, temperature, top-p, top-k) since zero-probability tokens cannot be selected. In code: ",[37,3762,3763],{},"logits[~valid_token_mask] = float('-inf')",".",[22,3766,3767],{},"Validity depends on prior tokens. A trie (prefix tree) encodes all taxonomy labels as token paths. Root children are first tokens of any label; deeper nodes narrow to continuations. After prefix \" Tech\" (token ID 8987), only \"nology\" (ID 1366) is valid. At end nodes, only EOS is valid, terminating the label.",[22,3769,3770,3771,3774,3775,3778,3779,3783,3784,3787,3788,3791],{},"Tokenization nuance: BPE splits depend on context. Tokenize labels as continuations with leading space (",[37,3772,3773],{},"\" \" + label",", ",[37,3776,3777],{},"add_special_tokens=False","), e.g., Qwen2.5 tokenizes \" Sports\" to ",[3780,3781,3782],"span",{},"22470",", not \"Sports\" to ",[3780,3785,3786],{},"51660",". Verify round-trip: ",[37,3789,3790],{},"tokenizer.decode(token_ids) == \" \" + label",". Tiktoken (GPT-4 family) bakes whitespace into boundaries without ▁.",[17,3793,3795],{"id":3794},"trie-and-logits-processor-implementation","Trie and Logits Processor Implementation",[22,3797,3798],{},"Build trie from labels:",[86,3800,3804],{"className":3801,"code":3802,"language":3803,"meta":94,"style":94},"language-python shiki shiki-themes github-light github-dark","class TrieNode:\n    def __init__(self):\n        self.children = {}  # token_id → TrieNode\n        self.is_end = False\n\nclass ConstrainedTrie:\n    def __init__(self):\n        self.root = TrieNode()\n    def insert(self, token_ids):\n        node = self.root\n        for tid in token_ids:\n            if tid not in node.children:\n                node.children[tid] = TrieNode()\n            node = node.children[tid]\n        node.is_end = True\n    def get_valid_next_tokens(self, prefix):\n        node = self.root\n        for tid in prefix:\n            if tid not in node.children:\n                return set()\n            node = node.children[tid]\n        return set(node.children.keys())\n    def is_complete(self, prefix):\n        node = self.root\n        for tid in prefix:\n            if tid not in node.children:\n                return False\n            node = node.children[tid]\n        return node.is_end\n","python",[37,3805,3806,3813,3818,3824,3829,3834,3840,3845,3851,3857,3863,3869,3875,3881,3887,3893,3899,3904,3910,3915,3921,3926,3932,3938,3943,3948,3953,3959,3964],{"__ignoreMap":94},[3780,3807,3810],{"class":3808,"line":3809},"line",1,[3780,3811,3812],{},"class TrieNode:\n",[3780,3814,3815],{"class":3808,"line":114},[3780,3816,3817],{},"    def __init__(self):\n",[3780,3819,3821],{"class":3808,"line":3820},3,[3780,3822,3823],{},"        self.children = {}  # token_id → TrieNode\n",[3780,3825,3826],{"class":3808,"line":150},[3780,3827,3828],{},"        self.is_end = False\n",[3780,3830,3831],{"class":3808,"line":149},[3780,3832,3833],{"emptyLinePlaceholder":153},"\n",[3780,3835,3837],{"class":3808,"line":3836},6,[3780,3838,3839],{},"class ConstrainedTrie:\n",[3780,3841,3843],{"class":3808,"line":3842},7,[3780,3844,3817],{},[3780,3846,3848],{"class":3808,"line":3847},8,[3780,3849,3850],{},"        self.root = TrieNode()\n",[3780,3852,3854],{"class":3808,"line":3853},9,[3780,3855,3856],{},"    def insert(self, token_ids):\n",[3780,3858,3860],{"class":3808,"line":3859},10,[3780,3861,3862],{},"        node = self.root\n",[3780,3864,3866],{"class":3808,"line":3865},11,[3780,3867,3868],{},"        for tid in token_ids:\n",[3780,3870,3872],{"class":3808,"line":3871},12,[3780,3873,3874],{},"            if tid not in node.children:\n",[3780,3876,3878],{"class":3808,"line":3877},13,[3780,3879,3880],{},"                node.children[tid] = TrieNode()\n",[3780,3882,3884],{"class":3808,"line":3883},14,[3780,3885,3886],{},"            node = node.children[tid]\n",[3780,3888,3890],{"class":3808,"line":3889},15,[3780,3891,3892],{},"        node.is_end = True\n",[3780,3894,3896],{"class":3808,"line":3895},16,[3780,3897,3898],{},"    def get_valid_next_tokens(self, prefix):\n",[3780,3900,3902],{"class":3808,"line":3901},17,[3780,3903,3862],{},[3780,3905,3907],{"class":3808,"line":3906},18,[3780,3908,3909],{},"        for tid in prefix:\n",[3780,3911,3913],{"class":3808,"line":3912},19,[3780,3914,3874],{},[3780,3916,3918],{"class":3808,"line":3917},20,[3780,3919,3920],{},"                return set()\n",[3780,3922,3924],{"class":3808,"line":3923},21,[3780,3925,3886],{},[3780,3927,3929],{"class":3808,"line":3928},22,[3780,3930,3931],{},"        return set(node.children.keys())\n",[3780,3933,3935],{"class":3808,"line":3934},23,[3780,3936,3937],{},"    def is_complete(self, prefix):\n",[3780,3939,3941],{"class":3808,"line":3940},24,[3780,3942,3862],{},[3780,3944,3946],{"class":3808,"line":3945},25,[3780,3947,3909],{},[3780,3949,3951],{"class":3808,"line":3950},26,[3780,3952,3874],{},[3780,3954,3956],{"class":3808,"line":3955},27,[3780,3957,3958],{},"                return False\n",[3780,3960,3962],{"class":3808,"line":3961},28,[3780,3963,3886],{},[3780,3965,3967],{"class":3808,"line":3966},29,[3780,3968,3969],{},"        return node.is_end\n",[22,3971,3972,3973,3976],{},"Insert: ",[37,3974,3975],{},"token_ids = tokenizer.encode(\" \" + label, add_special_tokens=False); trie.insert(token_ids)",". Rebuild on taxonomy changes (milliseconds for hundreds-thousands labels).",[22,3978,3979,3980,3983],{},"HuggingFace ",[37,3981,3982],{},"LogitsProcessor",":",[86,3985,3987],{"className":3801,"code":3986,"language":3803,"meta":94,"style":94},"class TrieLogitsProcessor(LogitsProcessor):\n    def __init__(self, trie, prompt_length, eos_token_id):\n        self.trie = trie\n        self.prompt_length = prompt_length\n        self.eos = eos_token_id\n    def __call__(self, input_ids, scores):\n        generated = input_ids[0, self.prompt_length:].tolist()\n        valid = self.trie.get_valid_next_tokens(generated)\n        if self.trie.is_complete(generated):\n            valid.add(self.eos)\n        masked = torch.full_like(scores, float('-inf'))\n        for tid in valid:\n            masked[0, tid] = scores[0, tid]\n        return masked\n",[37,3988,3989,3994,3999,4004,4009,4014,4019,4024,4029,4034,4039,4044,4049,4054],{"__ignoreMap":94},[3780,3990,3991],{"class":3808,"line":3809},[3780,3992,3993],{},"class TrieLogitsProcessor(LogitsProcessor):\n",[3780,3995,3996],{"class":3808,"line":114},[3780,3997,3998],{},"    def __init__(self, trie, prompt_length, eos_token_id):\n",[3780,4000,4001],{"class":3808,"line":3820},[3780,4002,4003],{},"        self.trie = trie\n",[3780,4005,4006],{"class":3808,"line":150},[3780,4007,4008],{},"        self.prompt_length = prompt_length\n",[3780,4010,4011],{"class":3808,"line":149},[3780,4012,4013],{},"        self.eos = eos_token_id\n",[3780,4015,4016],{"class":3808,"line":3836},[3780,4017,4018],{},"    def __call__(self, input_ids, scores):\n",[3780,4020,4021],{"class":3808,"line":3842},[3780,4022,4023],{},"        generated = input_ids[0, self.prompt_length:].tolist()\n",[3780,4025,4026],{"class":3808,"line":3847},[3780,4027,4028],{},"        valid = self.trie.get_valid_next_tokens(generated)\n",[3780,4030,4031],{"class":3808,"line":3853},[3780,4032,4033],{},"        if self.trie.is_complete(generated):\n",[3780,4035,4036],{"class":3808,"line":3859},[3780,4037,4038],{},"            valid.add(self.eos)\n",[3780,4040,4041],{"class":3808,"line":3865},[3780,4042,4043],{},"        masked = torch.full_like(scores, float('-inf'))\n",[3780,4045,4046],{"class":3808,"line":3871},[3780,4047,4048],{},"        for tid in valid:\n",[3780,4050,4051],{"class":3808,"line":3877},[3780,4052,4053],{},"            masked[0, tid] = scores[0, tid]\n",[3780,4055,4056],{"class":3808,"line":3883},[3780,4057,4058],{},"        return masked\n",[22,4060,4061,4062,4065],{},"Generate: ",[37,4063,4064],{},"model.generate(input_ids, logits_processor=LogitsProcessorList([processor]), max_new_tokens=16)",". Output decodes to exact label.",[17,4067,4069],{"id":4068},"multi-label-hierarchies-and-broader-applications","Multi-Label, Hierarchies, and Broader Applications",[22,4071,4072,4073,4076],{},"For multi-label: After end node, allow EOS or separator (e.g., ",[37,4074,4075],{},"|,|","). Parse generated tokens into seen labels and current prefix. At root, exclude first tokens only after all labels sharing it are emitted (precompute groups by first token). Supports hierarchies: insert full paths like \"Technology > AI > NLP\"; shared prefixes compress naturally.",[22,4078,4079],{},"Edge cases: Low confidence concentrates mass on valid tokens (fix: fine-tune); long labels create narrow paths (fine-tune improves); rebuild trie on changes.",[22,4081,4082],{},"Proof of correctness: (1) Forward invariant—emitted tokens always extend valid prefixes; (2) Termination invariant—EOS only at end nodes. Verify by enumerating trie paths against labels. Independent of model, temperature, etc.",[22,4084,4085],{},"Limitations: Needs logit access (open models like Qwen2.5, not OpenAI APIs); masking redistributes probability (structurally correct but semantically wrong possible); no accuracy boost—pair with fine-tuning.",[22,4087,4088],{},"Generalizes to JSON (trie encodes schema), SQL (grammar FSM), agents (tool names). Enforces structure without prompt\u002Fmodel changes.",[4090,4091,4092],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":94,"searchDepth":114,"depth":114,"links":4094},[4095,4096,4097],{"id":3753,"depth":114,"text":3754},{"id":3794,"depth":114,"text":3795},{"id":4068,"depth":114,"text":4069},[120],{"content_references":4100,"triage":4110},[4101,4105],{"type":127,"title":4102,"url":4103,"context":4104},"constrained-decoding","https:\u002F\u002Fgithub.com\u002FSachinKalsi\u002Fconstrained-decoding","recommended",{"type":135,"title":4106,"author":4107,"url":4108,"context":4109},"Why do we use negative infinity for masking in attention","Sachin Kalsi","https:\u002F\u002Fmedium.com\u002F@sachinkalsi\u002Fwhy-do-we-use-negative-infinity-for-masking-in-attention-450c59274ac8","cited",{"relevance":149,"novelty":150,"quality":150,"actionability":150,"composite":4111,"reasoning":4112},4.35,"Category: AI & LLMs. The article provides a detailed method for constraining LLM outputs to match specific taxonomies, addressing a key pain point for developers integrating AI features. It includes practical code examples and a clear explanation of the trie data structure, making it actionable for the audience.","\u002Fsummaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with-summary","2026-05-07 04:37:46","2026-05-07 11:23:51",{"title":3743,"description":94},{"loc":4113},"b0d82d6ef098f216","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fconstrained-decoding-forcing-llms-to-respect-your-taxonomy-3aaaf13329f9?source=rss----98111c9905da---4","summaries\u002Fb0d82d6ef098f216-guarantee-llm-outputs-match-exact-taxonomies-with--summary",[4123,164],"llm","Constrain LLM generation by masking invalid logits to -∞ using a trie of tokenized labels, ensuring outputs are always exact taxonomy matches regardless of sampling method.",[],"Zl9RXUbRJ9rGvj_m9MKVvEJnqmRWIclKKfYIxgiJrns",{"id":4128,"title":4129,"ai":4130,"body":4135,"categories":4165,"created_at":121,"date_modified":121,"description":94,"extension":122,"faq":121,"featured":123,"kicker_label":121,"meta":4166,"navigation":153,"path":4167,"published_at":4168,"question":121,"scraped_at":121,"seo":4169,"sitemap":4170,"source_id":4171,"source_name":4172,"source_type":160,"source_url":4173,"stem":4174,"tags":4175,"thumbnail_url":121,"tldr":4176,"tweet":121,"unknown_tags":4177,"__hash__":4178},"summaries\u002Fsummaries\u002Fllm-structured-outputs-leak-internal-metadata-to-u-summary.md","LLM Structured Outputs Leak Internal Metadata to Users",{"provider":7,"model":8,"input_tokens":4131,"output_tokens":4132,"processing_time_ms":4133,"cost_usd":4134},3696,945,9284,0.0011892,{"type":14,"value":4136,"toc":4161},[4137,4141,4148,4152,4155],[17,4138,4140],{"id":4139},"recognize-json-bleed-as-a-common-llm-production-failure","Recognize JSON Bleed as a Common LLM Production Failure",[22,4142,4143,4144,4147],{},"LLMs confuse internal reasoning with final output, exposing metadata such as ",[37,4145,4146],{},"intent: billing_query confidence: 0.91 escalate_flag: false response_text: I'd be happy to help with that!"," directly in customer chats. This happens because structured output prompts lack robust defensive parsing, and LLMs occasionally vary their formatting, bypassing expected JSON extraction.",[17,4149,4151],{"id":4150},"fix-by-enforcing-strict-output-parsing","Fix by Enforcing Strict Output Parsing",[22,4153,4154],{},"Treat any deviation from expected structure as a bug. Implement parsing that strips or hides internal tokens before user delivery—don't rely on the LLM always adhering to your prompt. This prevents screenshots going viral with captions like 'the AI is glitching lol,' forcing unplanned explanations to product managers.",[22,4156,4157],{},[4158,4159,4160],"em",{},"Content note: Article is a thin teaser introducing the issue; full details behind paywall.",{"title":94,"searchDepth":114,"depth":114,"links":4162},[4163,4164],{"id":4139,"depth":114,"text":4140},{"id":4150,"depth":114,"text":4151},[120],{},"\u002Fsummaries\u002Fllm-structured-outputs-leak-internal-metadata-to-u-summary","2026-04-08 21:21:17",{"title":4129,"description":94},{"loc":4167},"c8969f75fbb6b804","Level Up Coding","https:\u002F\u002Funknown","summaries\u002Fllm-structured-outputs-leak-internal-metadata-to-u-summary",[4123,164],"LLMs leak internal state like 'intent: billing_query confidence: 0.91' into user responses when structured output prompts format inconsistently, turning a parsing oversight into a visible production bug called 'JSON bleed'.",[],"tnlmBTld_U1urpB9f3xsOnm_rrA35jsXvUv70UPtGF0",{"id":4180,"title":4181,"ai":4182,"body":4187,"categories":4221,"created_at":121,"date_modified":121,"description":94,"extension":122,"faq":121,"featured":123,"kicker_label":121,"meta":4222,"navigation":153,"path":4253,"published_at":4254,"question":121,"scraped_at":4255,"seo":4256,"sitemap":4257,"source_id":4258,"source_name":4259,"source_type":160,"source_url":4260,"stem":4261,"tags":4262,"thumbnail_url":121,"tldr":4264,"tweet":121,"unknown_tags":4265,"__hash__":4266},"summaries\u002Fsummaries\u002Fd2e82aaa08bb6c55-flow-veo-3-tool-for-consistent-cinematic-video-summary.md","Flow: Veo 3 Tool for Consistent Cinematic Video",{"provider":7,"model":8,"input_tokens":4183,"output_tokens":4184,"processing_time_ms":4185,"cost_usd":4186},6051,2389,14060,0.00189785,{"type":14,"value":4188,"toc":4216},[4189,4193,4196,4199,4203,4206,4209,4213],[17,4190,4192],{"id":4191},"consistent-asset-reuse-drives-scene-cohesion","Consistent Asset Reuse Drives Scene Cohesion",[22,4194,4195],{},"Flow generates video 'ingredients' like characters or objects via Imagen text-to-image or user uploads, then reuses them across clips for visual consistency—key for maintaining story continuity without manual tracking. Start with a scene image to spawn new shots, or reference assets in natural language prompts powered by Gemini for intuitive control. Veo 3 excels here with strong prompt adherence, realistic physics, and cinematic quality, letting you iterate effortlessly from idea to polished output. This cuts production time on repetitive elements, enabling focus on narrative over asset recreation.",[22,4197,4198],{},"Trade-off: Early stage means outputs shine in controlled prompts but may need refinement for complex multi-shot sequences.",[17,4200,4202],{"id":4201},"pro-controls-unlock-precise-storytelling","Pro Controls Unlock Precise Storytelling",[22,4204,4205],{},"Camera Controls let you dictate motion, angles, and perspectives directly, mimicking director tools for shots like pans or zooms. Scenebuilder extends existing footage seamlessly—reveal more action or transition to next beats with persistent motion and characters. Asset Management organizes prompts and ingredients for quick reuse. Flow TV showcases Veo-generated clips with exact prompts, so you learn techniques by forking styles (e.g., adapt a dramatic angle from a sample). These features evolve from VideoFX, prioritizing pros while onboarding beginners via everyday language.",[22,4207,4208],{},"Outcome: Professionals ship riskier ideas faster; newcomers prototype without gear costs.",[17,4210,4212],{"id":4211},"subscriber-access-and-proven-filmmaker-outputs","Subscriber Access and Proven Filmmaker Outputs",[22,4214,4215],{},"Available now to U.S. Google AI Pro subscribers (100 generations\u002Fmonth, core features) and Ultra (higher limits, Veo 3 with native audio for sounds\u002Fdialogue). Collaborations validate real use: Dave Clark's 'Freelancers' blends AI with traditional tools for brotherly quests; Henry Daubrez's 'Electric Pink' extends his Veo 2 'Kitsune' (lonely souls tale); Junie Lau's 'Dear Stranger' explores multiverse love. Watch 'Behind the Lens' for their workflows. Early access shaped Flow for creative integration, positioning it as an enabler for diverse voices over replacement.",{"title":94,"searchDepth":114,"depth":114,"links":4217},[4218,4219,4220],{"id":4191,"depth":114,"text":4192},{"id":4201,"depth":114,"text":4202},{"id":4211,"depth":114,"text":4212},[120],{"content_references":4223,"triage":4250},[4224,4227,4230,4234,4237,4239,4243,4245,4248],{"type":127,"title":4225,"url":4226,"context":4104},"Flow","http:\u002F\u002Fflow.google\u002F",{"type":127,"title":4228,"url":4229,"context":4104},"Flow TV","http:\u002F\u002Flabs.google\u002Fflow\u002Ftv",{"type":135,"title":4231,"author":4232,"url":4233,"context":130},"Battalion","Dave Clark","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=5NZubOOeeV0",{"type":135,"title":4235,"author":4232,"url":4236,"context":130},"NinjaPunk","https:\u002F\u002Fyoutu.be\u002FbhmZflwma64?si=XiXK-OIL-M2-n_6x",{"type":135,"title":4238,"author":4232,"context":130},"Freelancers",{"type":135,"title":4240,"author":4241,"url":4242,"context":130},"Kitsune","Henry Daubrez","https:\u002F\u002Fvimeo.com\u002F1047370252",{"type":135,"title":4244,"author":4241,"context":130},"Electric Pink",{"type":135,"title":4246,"author":4247,"context":130},"Dear Stranger","Junie Lau",{"type":135,"title":4249,"context":4104},"Behind the Lens: AI, Creativity, and the Future of Filmmaking Tools",{"relevance":3820,"novelty":3820,"quality":150,"actionability":3820,"composite":4251,"reasoning":4252},3.25,"Category: AI & LLMs. The article discusses the Flow tool for video production, which aligns with AI tools and prompt engineering. It provides insights into how the tool can streamline filmmaking workflows, but lacks specific actionable steps for implementation.","\u002Fsummaries\u002Fd2e82aaa08bb6c55-flow-veo-3-tool-for-consistent-cinematic-video-summary","2025-05-20 00:00:00","2026-04-15 15:30:49",{"title":4181,"description":94},{"loc":4253},"d2e82aaa08bb6c55","__oneoff__","https:\u002F\u002Fblog.google\u002Ftechnology\u002Fai\u002Fgoogle-flow-veo-ai-filmmaking-tool\u002F","summaries\u002Fd2e82aaa08bb6c55-flow-veo-3-tool-for-consistent-cinematic-video-summary",[4263,164],"ai-tools","Flow uses Veo for prompt-based video clips with consistent characters and scenes, plus camera controls and extensions to streamline filmmaking workflows.",[],"Ias48cTOfrjxymEXsZchFOp8Zl2M5RdHP-AvSjP2Vnc",{"id":4268,"title":4269,"ai":4270,"body":4275,"categories":4309,"created_at":121,"date_modified":121,"description":94,"extension":122,"faq":121,"featured":123,"kicker_label":121,"meta":4310,"navigation":153,"path":4325,"published_at":121,"question":121,"scraped_at":4326,"seo":4327,"sitemap":4328,"source_id":4329,"source_name":4259,"source_type":160,"source_url":4242,"stem":4330,"tags":4331,"thumbnail_url":121,"tldr":4332,"tweet":121,"unknown_tags":4333,"__hash__":4334},"summaries\u002Fsummaries\u002Fdccbbca00fb182e4-building-heartfelt-ai-animation-with-veo2-curation-summary.md","Building Heartfelt AI Animation with VEO2 Curation",{"provider":7,"model":8,"input_tokens":4271,"output_tokens":4272,"processing_time_ms":4273,"cost_usd":4274},4263,1924,12129,0.00130775,{"type":14,"value":4276,"toc":4304},[4277,4281,4284,4287,4291,4294,4297,4301],[17,4278,4280],{"id":4279},"veo2s-strengths-deliver-global-consistency-with-minimal-tweaks","VEO2's Strengths Deliver Global Consistency with Minimal Tweaks",[22,4282,4283],{},"Google's VEO2 excels at prompt adherence and maintaining style across shots, enabling tweaks via simple word changes rather than full regenerations. Henry Daubrez generated 5,000–7,000 sequences, curating 1,700+ into a cohesive  short film by structuring prompts to overcome text-to-video limits like motion coherence and detail fidelity. This approach proves VEO2 handles complex narratives better than skeptics claim, countering Guillermo del Toro's 'semi-compelling screensavers' dismissal with a warm, Ghibli-inspired tale of lonely souls.",[22,4285,4286],{},"Trade-off: No magic—requires massive iteration and 'hoops' for vision alignment, but rewards with nostalgic feels absent in cold AI outputs.",[17,4288,4290],{"id":4289},"steering-ai-requires-taste-and-relentless-editing","Steering AI Requires Taste and Relentless Editing",[22,4292,4293],{},"Success hinges on human direction: Daubrez, a 20-year designer without technical AI depth, rewrote prompts mid-process, echoing Nick Rubin's emphasis on building taste over code knowledge. Post-generation, he applied heavy editing, MMAudio effects, stock libraries, and Udio music to infuse heart, avoiding clinical results.",[22,4295,4296],{},"Key technique: Treat AI as a companion, not replacement—animators gain efficiency as tools improve, but 'steer the damn ship' for emotional depth. Defects persist if uncurated, yet curation turns raw outputs into proud, VHS-era evocative films.",[17,4298,4300],{"id":4299},"practical-path-to-ai-film-production","Practical Path to AI Film Production",[22,4302,4303],{},"Start with influences like Don Bluth, 90s anime, and Studio Ghibli for prompt inspiration, ignoring purists like Miyazaki. Generate exhaustively, select ruthlessly (27–34% keep rate here), then polish in post. 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It provides actionable steps for curating AI-generated content, which is valuable for creators looking to integrate AI into their workflows.","\u002Fsummaries\u002Fdccbbca00fb182e4-building-heartfelt-ai-animation-with-veo2-curation-summary","2026-04-16 03:01:59",{"title":4269,"description":94},{"loc":4325},"dccbbca00fb182e4","summaries\u002Fdccbbca00fb182e4-building-heartfelt-ai-animation-with-veo2-curation-summary",[4263,164],"Curate 1,700+ VEO2 generations from 5,000–7,000 total to achieve consistent, nostalgic animation—steer prompts iteratively for tweaks, then layer sound and edits for warmth.",[],"2iBy41xbZEYyLXDYdgSiEFogIzcCDh0JdhFKO8JPA-M"]