[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-short-prompt-adds-beats-to-newsletter-via-agent-cl-summary":3,"summaries-facets-categories":127,"summary-related-short-prompt-adds-beats-to-newsletter-via-agent-cl-summary":4533},{"id":4,"title":5,"ai":6,"body":13,"categories":74,"created_at":75,"date_modified":75,"description":35,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":78,"navigation":109,"path":110,"published_at":111,"question":75,"scraped_at":111,"seo":112,"sitemap":113,"source_id":114,"source_name":115,"source_type":116,"source_url":117,"stem":118,"tags":119,"thumbnail_url":75,"tldr":124,"tweet":75,"unknown_tags":125,"__hash__":126},"summaries\u002Fsummaries\u002Fshort-prompt-adds-beats-to-newsletter-via-agent-cl-summary.md","Short Prompt Adds Beats to Newsletter via Agent Cloning",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",5798,1925,13521,0.0020996,{"type":14,"value":15,"toc":68},"minimark",[16,21,25,36,39,43,46,50],[17,18,20],"h2",{"id":19},"clone-reference-repos-to-bootstrap-complex-logic","Clone Reference Repos to Bootstrap Complex Logic",[22,23,24],"p",{},"Direct agents to clone relevant GitHub repos into \u002Ftmp to inspect schema and code without polluting the working repo. For adding \"beats\" (external content like OSS releases or museum visits from niche-museums.com) to the blog-to-newsletter tool, clone simonw\u002Fsimonwillisonblog. This repo holds the Django blog's beat models, including beat_type, note (for commentary), is_draft, and url fields. Agents derive mappings like beat_type to formal names directly from ORM definitions (e.g., blog\u002Fmodels.py lines 545-551), avoiding verbose descriptions. Result: agent adds precise SQL UNION clause filtering non-draft beats with non-empty notes:",[26,27,32],"pre",{"className":28,"code":30,"language":31},[29],"language-text","union all select id, 'beat' as type, title, created, slug, 'No HTML' as html, json_object('created', date(created), 'beat_type', beat_type, 'title', title, 'url', url, 'commentary', commentary, 'note', note) as json, url as external_url from blog_beat where coalesce(note, '') != '' and is_draft = 0 union all...\n","text",[33,34,30],"code",{"__ignoreMap":35},"",[22,37,38],{},"This pattern cuts prompt length while ensuring accuracy for features mimicking production logic, like prioritizing annotated beats over uninteresting dot-releases.",[17,40,42],{"id":41},"imitate-existing-features-to-skip-reinvention","Imitate Existing Features to Skip Reinvention",[22,44,45],{},"Name the target file (blog-to-newsletter.html in simonw\u002Ftools repo) and direct imitation of proven logic, such as the blog's Atom everything feed which already filters descriptive beats. This leverages the tool's Datasette-powered SQL fetches from simonwillison.net, extending the UNION for stories\u002Ftags to include beats. No need to detail filters—agent infers from cloned repo that notes mark \"interesting\" content for newsletters. Outcome: seamless integration into the HTML\u002FJS app, generating rich text HTML for Substack pasting, matching homepage displays.",[17,47,49],{"id":48},"embed-self-testing-for-confident-changes","Embed Self-Testing for Confident Changes",[22,51,52,53,56,57,60,61,67],{},"Always include runnable validation: ",[33,54,55],{},"python -m http.server"," for localhost serving (avoids file:\u002F\u002F fetch issues), then ",[33,58,59],{},"uvx rodney --help"," for browser automation testing. Rodney's help output teaches agents usage; compare generated newsletter output against ",[62,63,64],"a",{"href":64,"rel":65},"https:\u002F\u002Fsimonwillison.net",[66],"nofollow"," homepage beats. This red\u002Fgreen loop verifies live data pulls, ensuring PR #268 in simonw\u002Ftools exactly matches requirements without regressions. Full Claude Code session transcript shows tool calls confirming success, proving agents excel with concrete, executable checks over vague instructions.",{"title":35,"searchDepth":69,"depth":69,"links":70},2,[71,72,73],{"id":19,"depth":69,"text":20},{"id":41,"depth":69,"text":42},{"id":48,"depth":69,"text":49},[],null,"md",false,{"content_references":79,"triage":104},[80,85,88,92,95,97,100],{"type":81,"title":82,"url":83,"context":84},"tool","blog-to-newsletter","https:\u002F\u002Ftools.simonwillison.net\u002Fblog-to-newsletter","mentioned",{"type":81,"title":86,"url":87,"context":84},"Claude Code","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fclaude-code-on-the-web",{"type":89,"title":90,"url":91,"context":84},"other","simonw\u002Ftools","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Ftools",{"type":89,"title":93,"url":94,"context":84},"simonw\u002Fsimonwillisonblog","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Fsimonwillisonblog",{"type":81,"title":96,"context":84},"Rodney",{"type":81,"title":98,"url":99,"context":84},"niche-museums.com","https:\u002F\u002Fwww.niche-museums.com\u002F",{"type":89,"title":101,"url":102,"context":103},"Agentic manual testing chapter","https:\u002F\u002Fsimonwillison.net\u002Fguides\u002Fagentic-engineering-patterns\u002Fagentic-manual-testing\u002F#using-browser-automation-for-web-uis","cited",{"relevance":105,"novelty":106,"quality":106,"actionability":105,"composite":107,"reasoning":108},5,4,4.55,"Category: AI & LLMs. The article provides a detailed, practical guide on using coding agents for AI-assisted programming, specifically in the context of integrating external content into a newsletter. It includes actionable steps like cloning repositories and implementing SQL queries, which directly address the needs of developers looking to build AI-powered features.",true,"\u002Fsummaries\u002Fshort-prompt-adds-beats-to-newsletter-via-agent-cl-summary","2026-04-18 15:50:32",{"title":5,"description":35},{"loc":110},"1202813195ca0b8a","Simon Willison's Weblog","article","https:\u002F\u002Fsimonwillison.net\u002Fguides\u002Fagentic-engineering-patterns\u002Fadding-a-new-content-type\u002F#atom-everything","summaries\u002Fshort-prompt-adds-beats-to-newsletter-via-agent-cl-summary",[120,121,122,123],"prompt-engineering","coding-agents","ai-assisted-programming","agentic-engineering","Instruct coding agents to clone reference repos into \u002Ftmp, imitate existing Atom feed logic in specific files, and test via local server + uvx rodney browser automation—delivering exact SQL UNION for annotated beats in one 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This confirms beats appear correctly alongside blog posts, matching recent annotated content like releases or museums from niche-museums.com.",[22,4572,4573],{},"These steps enable single-shot success: Claude Code produced PR #268 adding a precise SQL UNION:",[26,4575,4579],{"className":4576,"code":4577,"language":4578,"meta":35,"style":35},"language-sql shiki shiki-themes github-light github-dark","union all\nselect\n  id,\n  'beat' as type, title, created, slug,\n  'No HTML' as html, json_object(\n    'created', date(created),\n    'beat_type', beat_type,\n    'title', title,\n    'url', url,\n    'commentary', commentary,\n    'note', note\n  ) as json, url as external_url\nfrom blog_beat\nwhere coalesce(note, '') != '' and is_draft = 0\nunion all\n","sql",[33,4580,4581,4589,4594,4600,4605,4610,4616,4622,4628,4634,4640,4646,4652,4658,4664],{"__ignoreMap":35},[4582,4583,4586],"span",{"class":4584,"line":4585},"line",1,[4582,4587,4588],{},"union all\n",[4582,4590,4591],{"class":4584,"line":69},[4582,4592,4593],{},"select\n",[4582,4595,4597],{"class":4584,"line":4596},3,[4582,4598,4599],{},"  id,\n",[4582,4601,4602],{"class":4584,"line":106},[4582,4603,4604],{},"  'beat' as type, title, created, slug,\n",[4582,4606,4607],{"class":4584,"line":105},[4582,4608,4609],{},"  'No HTML' as html, json_object(\n",[4582,4611,4613],{"class":4584,"line":4612},6,[4582,4614,4615],{},"    'created', date(created),\n",[4582,4617,4619],{"class":4584,"line":4618},7,[4582,4620,4621],{},"    'beat_type', beat_type,\n",[4582,4623,4625],{"class":4584,"line":4624},8,[4582,4626,4627],{},"    'title', title,\n",[4582,4629,4631],{"class":4584,"line":4630},9,[4582,4632,4633],{},"    'url', url,\n",[4582,4635,4637],{"class":4584,"line":4636},10,[4582,4638,4639],{},"    'commentary', commentary,\n",[4582,4641,4643],{"class":4584,"line":4642},11,[4582,4644,4645],{},"    'note', note\n",[4582,4647,4649],{"class":4584,"line":4648},12,[4582,4650,4651],{},"  ) as json, url as external_url\n",[4582,4653,4655],{"class":4584,"line":4654},13,[4582,4656,4657],{},"from blog_beat\n",[4582,4659,4661],{"class":4584,"line":4660},14,[4582,4662,4663],{},"where coalesce(note, '') != '' and is_draft = 0\n",[4582,4665,4667],{"class":4584,"line":4666},15,[4582,4668,4588],{},[22,4670,4671],{},"Plus frontend mapping:",[26,4673,4677],{"className":4674,"code":4675,"language":4676,"meta":35,"style":35},"language-js shiki shiki-themes github-light github-dark","const beatTypeDisplay = {\n  release: 'Release', til: 'TIL', til_update: 'TIL updated',\n  research: 'Research', tool: 'Tool', museum: 'Museum'\n};\n","js",[33,4678,4679,4696,4720,4740],{"__ignoreMap":35},[4582,4680,4681,4685,4689,4692],{"class":4584,"line":4585},[4582,4682,4684],{"class":4683},"szBVR","const",[4582,4686,4688],{"class":4687},"sj4cs"," beatTypeDisplay",[4582,4690,4691],{"class":4683}," =",[4582,4693,4695],{"class":4694},"sVt8B"," {\n",[4582,4697,4698,4701,4705,4708,4711,4714,4717],{"class":4584,"line":69},[4582,4699,4700],{"class":4694},"  release: ",[4582,4702,4704],{"class":4703},"sZZnC","'Release'",[4582,4706,4707],{"class":4694},", til: ",[4582,4709,4710],{"class":4703},"'TIL'",[4582,4712,4713],{"class":4694},", til_update: ",[4582,4715,4716],{"class":4703},"'TIL updated'",[4582,4718,4719],{"class":4694},",\n",[4582,4721,4722,4725,4728,4731,4734,4737],{"class":4584,"line":4596},[4582,4723,4724],{"class":4694},"  research: ",[4582,4726,4727],{"class":4703},"'Research'",[4582,4729,4730],{"class":4694},", tool: ",[4582,4732,4733],{"class":4703},"'Tool'",[4582,4735,4736],{"class":4694},", museum: ",[4582,4738,4739],{"class":4703},"'Museum'\n",[4582,4741,4742],{"class":4584,"line":106},[4582,4743,4744],{"class":4694},"};\n",[17,4746,4748],{"id":4747},"why-this-scales-for-production-tools","Why This Scales for Production Tools",[22,4750,4751],{},"blog-to-newsletter fetches from Datasette at datasette.simonwillison.net, formats as clipboard-ready HTML for Substack (simonw.substack.com)—now extended to beats without breaking existing post\u002Fstory handling. Reference cloning shortcuts prompts for schema-heavy tasks; testing loops catch UI\u002Fdata mismatches early. Apply to your tools: prioritize annotated\u002Fhigh-value items via existing filters, validate against live pages, and use ephemeral \u002Ftmp clones to keep agents focused.",[4753,4754,4755],"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);}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}",{"title":35,"searchDepth":69,"depth":69,"links":4757},[4758,4759,4760],{"id":4546,"depth":69,"text":4547},{"id":4556,"depth":69,"text":4557},{"id":4747,"depth":69,"text":4748},[],{"content_references":4763,"triage":4771},[4764,4765,4766,4767,4768],{"type":81,"title":82,"url":83,"context":84},{"type":81,"title":86,"url":87,"context":84},{"type":89,"title":93,"url":94,"context":103},{"type":81,"title":96,"context":84},{"type":89,"title":4769,"url":4770,"context":84},"datasette.simonwillison.net","https:\u002F\u002Fdatasette.simonwillison.net\u002F",{"relevance":105,"novelty":106,"quality":106,"actionability":106,"composite":4772,"reasoning":4773},4.35,"Category: AI & LLMs. The article provides a detailed guide on integrating AI agents with a newsletter tool, addressing practical implementation steps that align with the audience's needs. It includes specific coding examples and testing instructions, making it actionable for developers looking to enhance their AI-powered products.","\u002Fsummaries\u002Fagentic-prompt-perfectly-adds-beats-to-newsletter-summary","2026-04-20 16:57:43",{"title":4536,"description":35},{"loc":4774},"summaries\u002Fagentic-prompt-perfectly-adds-beats-to-newsletter--summary",[120,121,123,122],"Clone a reference repo to \u002Ftmp, mimic existing Atom feed logic for beats with descriptions, and test via python -m http.server plus uvx rodney --help to validate changes—yielding exact SQL UNION and beat type mappings.",[121,123,122],"Inoh9iL5u2exAxLvzzg9yATrrW0LqN1idtDkouEASOM",{"id":4784,"title":4785,"ai":4786,"body":4790,"categories":4887,"created_at":75,"date_modified":75,"description":35,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":4888,"navigation":109,"path":4905,"published_at":75,"question":75,"scraped_at":4906,"seo":4907,"sitemap":4908,"source_id":114,"source_name":115,"source_type":116,"source_url":117,"stem":4909,"tags":4910,"thumbnail_url":75,"tldr":4912,"tweet":75,"unknown_tags":4913,"__hash__":4914},"summaries\u002Fsummaries\u002Fshort-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":4787,"processing_time_ms":4788,"cost_usd":4789},2019,13341,0.00214645,{"type":14,"value":4791,"toc":4882},[4792,4796,4799,4848,4851,4855,4858,4864,4875,4879],[17,4793,4795],{"id":4794},"prompt-patterns-that-communicate-complexity-efficiently","Prompt Patterns That Communicate Complexity Efficiently",[22,4797,4798],{},"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:",[4800,4801,4802,4814,4831],"ul",{},[4803,4804,4805,4809,4810,4813],"li",{},[4806,4807,4808],"strong",{},"Clone reference repo to \u002Ftmp",": ",[33,4811,4812],{},"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.",[4803,4815,4816,4809,4819,4822,4823,4826,4827,4830],{},[4806,4817,4818],{},"Target specific file and mimic proven logic",[33,4820,4821],{},"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 ",[33,4824,4825],{},"note"," commentary) transfers filtering rules (",[33,4828,4829],{},"coalesce(note, '') != '' and is_draft = 0",") implicitly.",[4803,4832,4833,4809,4836,4839,4840,4843,4844,4847],{},[4806,4834,4835],{},"Embed self-validation",[33,4837,4838],{},"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 ",[33,4841,4842],{},"rodney"," (whose ",[33,4845,4846],{},"--help"," teaches usage), and verify against live homepage beats—ensuring production-like accuracy.",[22,4849,4850],{},"This deceptively short prompt (~50 words) leverages reference code as a \"powerful shortcut\" for complex concepts, producing a targeted PR in one shot.",[17,4852,4854],{"id":4853},"precise-sql-and-data-mapping-from-agent-reasoning","Precise SQL and Data Mapping from Agent Reasoning",[22,4856,4857],{},"The agent extended the content-fetching SQL query with a UNION clause for beats:",[26,4859,4862],{"className":4860,"code":4861,"language":31},[29],"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",[33,4863,4861],{"__ignoreMap":35},[22,4865,4866,4867,4870,4871,4874],{},"It derived ",[33,4868,4869],{},"beat_type"," mappings (e.g., formal names) by reading the blog's Django ORM models (",[33,4872,4873],{},"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.",[17,4876,4878],{"id":4877},"trade-offs-and-validation-wins","Trade-offs and Validation Wins",[22,4880,4881],{},"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":35,"searchDepth":69,"depth":69,"links":4883},[4884,4885,4886],{"id":4794,"depth":69,"text":4795},{"id":4853,"depth":69,"text":4854},{"id":4877,"depth":69,"text":4878},[166],{"content_references":4889,"triage":4903},[4890,4891,4893,4894,4896,4897,4900],{"type":81,"title":82,"url":83,"context":84},{"type":81,"title":4892,"url":4770,"context":84},"Datasette",{"type":89,"title":93,"url":94,"context":84},{"type":81,"title":4895,"url":87,"context":84},"Claude Code on the web",{"type":81,"title":4842,"context":84},{"type":89,"title":4898,"url":4899,"context":84},"simonw\u002Ftools PR #268","https:\u002F\u002Fgithub.com\u002Fsimonw\u002Ftools\u002Fpull\u002F268",{"type":89,"title":4901,"url":4902,"context":84},"Claude Code session","https:\u002F\u002Fclaude.ai\u002Fcode\u002Fsession_01BibYBuvJi2qNUyCYGaY3Ss",{"relevance":105,"novelty":106,"quality":106,"actionability":105,"composite":107,"reasoning":4904},"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.","\u002Fsummaries\u002Fshort-prompt-yields-perfect-agentic-update-for-new-summary","2026-04-19 01:22:46",{"title":4785,"description":35},{"loc":4905},"summaries\u002Fshort-prompt-yields-perfect-agentic-update-for-new-summary",[120,121,123,4911],"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.",[121,123,4911],"wNqrOmeqZ5fmLU_mMkMnKqC0PVf1vxUI1hN35Rg1bI8",{"id":4916,"title":4917,"ai":4918,"body":4923,"categories":5257,"created_at":75,"date_modified":75,"description":35,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":5258,"navigation":109,"path":5270,"published_at":5271,"question":75,"scraped_at":5272,"seo":5273,"sitemap":5274,"source_id":5275,"source_name":5276,"source_type":116,"source_url":5277,"stem":5278,"tags":5279,"thumbnail_url":75,"tldr":5281,"tweet":75,"unknown_tags":5282,"__hash__":5283},"summaries\u002Fsummaries\u002Fguarantee-llm-outputs-match-exact-taxonomies-with--summary.md","Guarantee LLM Outputs Match Exact Taxonomies with Tries",{"provider":7,"model":8,"input_tokens":4919,"output_tokens":4920,"processing_time_ms":4921,"cost_usd":4922},7679,2345,26271,0.0026858,{"type":14,"value":4924,"toc":5252},[4925,4929,4932,4939,4942,4965,4969,4972,5130,5137,5144,5219,5226,5230,5237,5240,5243,5246,5249],[17,4926,4928],{"id":4927},"logit-masking-guarantees-valid-outputs","Logit Masking Guarantees Valid Outputs",[22,4930,4931],{},"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.",[22,4933,4934,4935,4938],{},"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: ",[33,4936,4937],{},"logits[~valid_token_mask] = float('-inf')",".",[22,4940,4941],{},"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.",[22,4943,4944,4945,4948,4949,4952,4953,4956,4957,4960,4961,4964],{},"Tokenization nuance: BPE splits depend on context. Tokenize labels as continuations with leading space (",[33,4946,4947],{},"\" \" + label",", ",[33,4950,4951],{},"add_special_tokens=False","), e.g., Qwen2.5 tokenizes \" Sports\" to ",[4582,4954,4955],{},"22470",", not \"Sports\" to ",[4582,4958,4959],{},"51660",". Verify round-trip: ",[33,4962,4963],{},"tokenizer.decode(token_ids) == \" \" + label",". Tiktoken (GPT-4 family) bakes whitespace into boundaries without ▁.",[17,4966,4968],{"id":4967},"trie-and-logits-processor-implementation","Trie and Logits Processor Implementation",[22,4970,4971],{},"Build trie from labels:",[26,4973,4977],{"className":4974,"code":4975,"language":4976,"meta":35,"style":35},"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",[33,4978,4979,4984,4989,4994,4999,5004,5009,5013,5018,5023,5028,5033,5038,5043,5048,5053,5059,5064,5070,5075,5081,5086,5092,5098,5103,5108,5113,5119,5124],{"__ignoreMap":35},[4582,4980,4981],{"class":4584,"line":4585},[4582,4982,4983],{},"class TrieNode:\n",[4582,4985,4986],{"class":4584,"line":69},[4582,4987,4988],{},"    def __init__(self):\n",[4582,4990,4991],{"class":4584,"line":4596},[4582,4992,4993],{},"        self.children = {}  # token_id → TrieNode\n",[4582,4995,4996],{"class":4584,"line":106},[4582,4997,4998],{},"        self.is_end = False\n",[4582,5000,5001],{"class":4584,"line":105},[4582,5002,5003],{"emptyLinePlaceholder":109},"\n",[4582,5005,5006],{"class":4584,"line":4612},[4582,5007,5008],{},"class ConstrainedTrie:\n",[4582,5010,5011],{"class":4584,"line":4618},[4582,5012,4988],{},[4582,5014,5015],{"class":4584,"line":4624},[4582,5016,5017],{},"        self.root = TrieNode()\n",[4582,5019,5020],{"class":4584,"line":4630},[4582,5021,5022],{},"    def insert(self, token_ids):\n",[4582,5024,5025],{"class":4584,"line":4636},[4582,5026,5027],{},"        node = self.root\n",[4582,5029,5030],{"class":4584,"line":4642},[4582,5031,5032],{},"        for tid in token_ids:\n",[4582,5034,5035],{"class":4584,"line":4648},[4582,5036,5037],{},"            if tid not in node.children:\n",[4582,5039,5040],{"class":4584,"line":4654},[4582,5041,5042],{},"                node.children[tid] = TrieNode()\n",[4582,5044,5045],{"class":4584,"line":4660},[4582,5046,5047],{},"            node = node.children[tid]\n",[4582,5049,5050],{"class":4584,"line":4666},[4582,5051,5052],{},"        node.is_end = True\n",[4582,5054,5056],{"class":4584,"line":5055},16,[4582,5057,5058],{},"    def get_valid_next_tokens(self, prefix):\n",[4582,5060,5062],{"class":4584,"line":5061},17,[4582,5063,5027],{},[4582,5065,5067],{"class":4584,"line":5066},18,[4582,5068,5069],{},"        for tid in prefix:\n",[4582,5071,5073],{"class":4584,"line":5072},19,[4582,5074,5037],{},[4582,5076,5078],{"class":4584,"line":5077},20,[4582,5079,5080],{},"                return set()\n",[4582,5082,5084],{"class":4584,"line":5083},21,[4582,5085,5047],{},[4582,5087,5089],{"class":4584,"line":5088},22,[4582,5090,5091],{},"        return set(node.children.keys())\n",[4582,5093,5095],{"class":4584,"line":5094},23,[4582,5096,5097],{},"    def is_complete(self, prefix):\n",[4582,5099,5101],{"class":4584,"line":5100},24,[4582,5102,5027],{},[4582,5104,5106],{"class":4584,"line":5105},25,[4582,5107,5069],{},[4582,5109,5111],{"class":4584,"line":5110},26,[4582,5112,5037],{},[4582,5114,5116],{"class":4584,"line":5115},27,[4582,5117,5118],{},"                return False\n",[4582,5120,5122],{"class":4584,"line":5121},28,[4582,5123,5047],{},[4582,5125,5127],{"class":4584,"line":5126},29,[4582,5128,5129],{},"        return node.is_end\n",[22,5131,5132,5133,5136],{},"Insert: ",[33,5134,5135],{},"token_ids = tokenizer.encode(\" \" + label, add_special_tokens=False); trie.insert(token_ids)",". Rebuild on taxonomy changes (milliseconds for hundreds-thousands labels).",[22,5138,5139,5140,5143],{},"HuggingFace ",[33,5141,5142],{},"LogitsProcessor",":",[26,5145,5147],{"className":4974,"code":5146,"language":4976,"meta":35,"style":35},"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",[33,5148,5149,5154,5159,5164,5169,5174,5179,5184,5189,5194,5199,5204,5209,5214],{"__ignoreMap":35},[4582,5150,5151],{"class":4584,"line":4585},[4582,5152,5153],{},"class TrieLogitsProcessor(LogitsProcessor):\n",[4582,5155,5156],{"class":4584,"line":69},[4582,5157,5158],{},"    def __init__(self, trie, prompt_length, eos_token_id):\n",[4582,5160,5161],{"class":4584,"line":4596},[4582,5162,5163],{},"        self.trie = trie\n",[4582,5165,5166],{"class":4584,"line":106},[4582,5167,5168],{},"        self.prompt_length = prompt_length\n",[4582,5170,5171],{"class":4584,"line":105},[4582,5172,5173],{},"        self.eos = eos_token_id\n",[4582,5175,5176],{"class":4584,"line":4612},[4582,5177,5178],{},"    def __call__(self, input_ids, scores):\n",[4582,5180,5181],{"class":4584,"line":4618},[4582,5182,5183],{},"        generated = input_ids[0, self.prompt_length:].tolist()\n",[4582,5185,5186],{"class":4584,"line":4624},[4582,5187,5188],{},"        valid = self.trie.get_valid_next_tokens(generated)\n",[4582,5190,5191],{"class":4584,"line":4630},[4582,5192,5193],{},"        if self.trie.is_complete(generated):\n",[4582,5195,5196],{"class":4584,"line":4636},[4582,5197,5198],{},"            valid.add(self.eos)\n",[4582,5200,5201],{"class":4584,"line":4642},[4582,5202,5203],{},"        masked = torch.full_like(scores, float('-inf'))\n",[4582,5205,5206],{"class":4584,"line":4648},[4582,5207,5208],{},"        for tid in valid:\n",[4582,5210,5211],{"class":4584,"line":4654},[4582,5212,5213],{},"            masked[0, tid] = scores[0, tid]\n",[4582,5215,5216],{"class":4584,"line":4660},[4582,5217,5218],{},"        return masked\n",[22,5220,5221,5222,5225],{},"Generate: ",[33,5223,5224],{},"model.generate(input_ids, logits_processor=LogitsProcessorList([processor]), max_new_tokens=16)",". Output decodes to exact label.",[17,5227,5229],{"id":5228},"multi-label-hierarchies-and-broader-applications","Multi-Label, Hierarchies, and Broader Applications",[22,5231,5232,5233,5236],{},"For multi-label: After end node, allow EOS or separator (e.g., ",[33,5234,5235],{},"|,|","). 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.",[22,5238,5239],{},"Edge cases: Low confidence concentrates mass on valid tokens (fix: fine-tune); long labels create narrow paths (fine-tune improves); rebuild trie on changes.",[22,5241,5242],{},"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.",[22,5244,5245],{},"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.",[22,5247,5248],{},"Generalizes to JSON (trie encodes schema), SQL (grammar FSM), agents (tool names). Enforces structure without prompt\u002Fmodel changes.",[4753,5250,5251],{},"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":35,"searchDepth":69,"depth":69,"links":5253},[5254,5255,5256],{"id":4927,"depth":69,"text":4928},{"id":4967,"depth":69,"text":4968},{"id":5228,"depth":69,"text":5229},[166],{"content_references":5259,"triage":5268},[5260,5264],{"type":81,"title":5261,"url":5262,"context":5263},"constrained-decoding","https:\u002F\u002Fgithub.com\u002FSachinKalsi\u002Fconstrained-decoding","recommended",{"type":89,"title":5265,"author":5266,"url":5267,"context":103},"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",{"relevance":105,"novelty":106,"quality":106,"actionability":106,"composite":4772,"reasoning":5269},"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\u002Fguarantee-llm-outputs-match-exact-taxonomies-with-summary","2026-05-07 04:37:46","2026-05-07 11:23:51",{"title":4917,"description":35},{"loc":5270},"b0d82d6ef098f216","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Fconstrained-decoding-forcing-llms-to-respect-your-taxonomy-3aaaf13329f9?source=rss----98111c9905da---4","summaries\u002Fguarantee-llm-outputs-match-exact-taxonomies-with--summary",[5280,120],"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.",[],"pSS4i1v22VwaujuhOPlIt8tx-Fut_d93ojbD3ALEERc",{"id":5285,"title":5286,"ai":5287,"body":5292,"categories":5394,"created_at":75,"date_modified":75,"description":35,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":5395,"navigation":109,"path":5412,"published_at":5413,"question":75,"scraped_at":5414,"seo":5415,"sitemap":5416,"source_id":5417,"source_name":5418,"source_type":116,"source_url":5419,"stem":5420,"tags":5421,"thumbnail_url":75,"tldr":5422,"tweet":75,"unknown_tags":5423,"__hash__":5424},"summaries\u002Fsummaries\u002Frebuild-gpt-5-5-prompts-from-scratch-minimal-wins--summary.md","Rebuild GPT-5.5 Prompts from Scratch: Minimal Wins Over Legacy Detail",{"provider":7,"model":8,"input_tokens":5288,"output_tokens":5289,"processing_time_ms":5290,"cost_usd":5291},5455,1761,19749,0.00194885,{"type":14,"value":5293,"toc":5389},[5294,5298,5301,5304,5307,5310,5314,5317,5361,5364,5367,5370,5373,5377,5380,5383,5386],[17,5295,5297],{"id":5296},"strip-prompts-to-outcomes-for-better-reasoning-efficiency","Strip Prompts to Outcomes for Better Reasoning Efficiency",[22,5299,5300],{},"GPT-5.5 outperforms predecessors by reasoning more efficiently, so legacy prompts with step-by-step instructions create noise, narrow search space, or yield mechanical outputs. Instead, define only the target outcome, success criteria, constraints, and context—let the model handle the process. Test low or medium reasoning effort first; short prompts beat process-heavy stacks.",[22,5302,5303],{},"Avoid absolutes like \"ALWAYS\" or \"NEVER\" except for invariants (e.g., security). Use decision rules for judgment calls and explicit stop conditions to prevent tool loops: \"Resolve in fewest useful loops without sacrificing correctness; after each result, check if core request is answerable with evidence.\"",[22,5305,5306],{},"Positive example for customer service: \"Resolve issue end-to-end. Success: eligibility from policy\u002Faccount data, complete actions before responding, output includes completed_actions, customer_message, blockers; ask for smallest missing field if needed.\" Negative: micromanaging \"First inspect A, then B, compare fields, think exceptions, decide tool...\"",[22,5308,5309],{},"This approach unlocks higher performance by giving GPT-5.5 room to optimize paths, reducing latency and improving naturalness.",[17,5311,5313],{"id":5312},"use-7-part-schema-starting-with-role-and-personality","Use 7-Part Schema Starting with Role and Personality",[22,5315,5316],{},"Structure prompts as:",[4800,5318,5319,5325,5331,5337,5343,5349,5355],{},[4803,5320,5321,5324],{},[4806,5322,5323],{},"Role",": 1-2 sentences on function, context, job.",[4803,5326,5327,5330],{},[4806,5328,5329],{},"# Personality",": Tone, demeanor, collaboration style.",[4803,5332,5333,5336],{},[4806,5334,5335],{},"# Goal",": User-visible outcome.",[4803,5338,5339,5342],{},[4806,5340,5341],{},"# Success criteria",": What must be true before final answer.",[4803,5344,5345,5348],{},[4806,5346,5347],{},"# Constraints",": Policy, safety, evidence limits.",[4803,5350,5351,5354],{},[4806,5352,5353],{},"# Output",": Sections, length, tone.",[4803,5356,5357,5360],{},[4806,5358,5359],{},"# Stop rules",": When to retry, fallback, abstain, ask, stop.",[22,5362,5363],{},"Role definitions counter prior doubts (e.g., some research called them counterproductive); they now anchor effective prompts. Split personality (sound: warm\u002Fformal) from collaboration (ask questions\u002Fassume when clear).",[22,5365,5366],{},"Task-focused: \"Capable collaborator: approachable, steady, direct. Assume competence\u002Fgood faith; progress over clarification unless material risk.\"",[22,5368,5369],{},"Expressive: \"Vivid presence: intelligent, curious, playful. Ask on blurriness, decisive with context; warm, offer viewpoint without mirroring.\"",[22,5371,5372],{},"Keep sections short—add details only if they shift behavior. Treat as starting point, tune with examples.",[17,5374,5376],{"id":5375},"set-retrieval-budgets-citation-rules-and-streaming-preambles","Set Retrieval Budgets, Citation Rules, and Streaming Preambles",[22,5378,5379],{},"Embed citation logic in prompts: specify claims needing evidence (e.g., metrics, dates), sufficient proof, and responses to gaps. Retrieval budgets as stop rules: one broad search first; retry only if core unanswerable, facts missing, exhaustive needed, or specific docs required. Skip for phrasing\u002Fexamples.",[22,5381,5382],{},"Drafting rule: Cite product\u002Fmetrics claims; avoid inventing specifics—use generics\u002Fplaceholders if unsupported.",[22,5384,5385],{},"For streaming, cut perceived latency with preambles: Before tools, send 1-2 sentences acknowledging request and first step (e.g., for multi-step tasks).",[22,5387,5388],{},"Automate rewrites via Codex or OpenAI's Docs Skill GitHub tool.",{"title":35,"searchDepth":69,"depth":69,"links":5390},[5391,5392,5393],{"id":5296,"depth":69,"text":5297},{"id":5312,"depth":69,"text":5313},{"id":5375,"depth":69,"text":5376},[],{"content_references":5396,"triage":5410},[5397,5400,5403,5407],{"type":89,"title":5398,"url":5399,"context":103},"prompting guide for GPT-5.5","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fguides\u002Fprompt-guidance?model=gpt-5.5",{"type":89,"title":5401,"url":5402,"context":84},"General Tips","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fguides\u002Flatest-model",{"type":5404,"title":5405,"url":5406,"context":84},"paper","arxiv.org\u002Fabs\u002F2603.18507","https:\u002F\u002Farxiv.org\u002Fabs\u002F2603.18507",{"type":81,"title":5408,"url":5409,"context":5263},"OpenAI Docs Skill","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002F.curated\u002Fopenai-docs",{"relevance":105,"novelty":106,"quality":106,"actionability":105,"composite":107,"reasoning":5411},"Category: AI & LLMs. The article provides a detailed framework for prompt engineering specifically for GPT-5.5, addressing the pain point of outdated prompt structures that limit AI performance. It offers a clear, actionable 7-part schema that developers can implement immediately to enhance their AI interactions.","\u002Fsummaries\u002Frebuild-gpt-5-5-prompts-from-scratch-minimal-wins-summary","2026-04-26 10:20:04","2026-04-26 17:22:51",{"title":5286,"description":35},{"loc":5412},"568ea01dbb8e8f83","The Decoder","https:\u002F\u002Fthe-decoder.com\u002Fopenai-says-old-prompts-are-holding-gpt-5-5-back-and-developers-need-a-fresh-baseline\u002F","summaries\u002Frebuild-gpt-5-5-prompts-from-scratch-minimal-wins--summary",[120,5280],"OpenAI's GPT-5.5 guide: Ditch old detailed prompts—they limit performance. Start with minimal, outcome-focused instructions in a 7-part schema beginning with role definitions to leverage efficient reasoning.",[],"cz1dQDYGJX3AifhhJ1hQkpSbofakEfbLAR11SCAvvAk"]