[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-3fd5f55a253df704-chatgpt-brainstorms-wide-to-narrow-for-actionable-summary":3,"summaries-facets-categories":91,"summary-related-3fd5f55a253df704-chatgpt-brainstorms-wide-to-narrow-for-actionable-summary":3661},{"id":4,"title":5,"ai":6,"body":13,"categories":58,"created_at":59,"date_modified":59,"description":52,"extension":60,"faq":59,"featured":61,"kicker_label":59,"meta":62,"navigation":74,"path":75,"published_at":59,"question":59,"scraped_at":76,"seo":77,"sitemap":78,"source_id":79,"source_name":80,"source_type":81,"source_url":82,"stem":83,"tags":84,"thumbnail_url":59,"tldr":88,"tweet":59,"unknown_tags":89,"__hash__":90},"summaries\u002Fsummaries\u002F3fd5f55a253df704-chatgpt-brainstorms-wide-to-narrow-for-actionable--summary.md","ChatGPT Brainstorms: Wide-to-Narrow for Actionable Plans",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",9498,1487,9005,0.00213625,{"type":14,"value":15,"toc":51},"minimark",[16,21,25,28,32,35,38,42,45,48],[17,18,20],"h2",{"id":19},"solve-brainstorming-stalls-with-chatgpts-strengths","Solve Brainstorming Stalls with ChatGPT's Strengths",[22,23,24],"p",{},"ChatGPT overcomes not-enough-ideas or too-many-unstructured-ideas by expanding options (proposing angles, experiments, messages), adding structure (grouping into themes, frameworks, clearer choices), and pressure-testing (surfacing assumptions, tradeoffs). It accelerates from blank page to executable plan, especially for competing ideas or first passes, but requires your context, expertise, and judgment for reality checks.",[22,26,27],{},"Use it to generate 15 ways to improve a team process, labeling each with benefit, tradeoff, and involved parties—mixing low-effort fixes and bigger changes. Or brainstorm collaboration fixes between teams, targeting friction points like handoffs and ownership, with changes testable in 30 days.",[17,29,31],{"id":30},"start-prompts-with-decisions-and-constraints","Start Prompts with Decisions and Constraints",[22,33,34],{},"Frame prompts around specific decisions like \"choose a 6-week campaign concept,\" \"prioritize onboarding improvements,\" or \"pick a rollout plan fitting capacity.\" Add constraints: audience, timeline (e.g., 4 weeks for a team of 3), channels, success metrics, prior tries, failures, non-negotiables. This yields realistic, non-repetitive outputs building on your context.",[22,36,37],{},"Example: For team offsite planning, specify practical, low-effort ideas for mixed roles—get themed lists with explanations. For product launch campaigns targeting busy business users, receive tonal options for comparison.",[17,39,41],{"id":40},"wide-to-narrow-flow-plus-refinement-tactics","Wide-to-Narrow Flow Plus Refinement Tactics",[22,43,44],{},"Separate generation from evaluation: First, request many approaches under constraints. Then group into themes, compare impact\u002Feffort\u002Ftradeoffs. Finally, draft plans with milestones, owners, timelines.",[22,46,47],{},"Refine with: Ask for reasoning (\"why this option?\"); force choices (\"if only one, pick and justify\"); friendly critiques (\"one way to strengthen?\"); label quick wins vs. foundational; score 1-5 on impact\u002Feffort\u002Fconfidence; reformat as 2x2 matrix, decision tree, timeline, stakeholder map. For messy thoughts, dictate for theme organization and next steps.",[22,49,50],{},"Proven prompts include: Rank overlooked opportunities by impact\u002Fease after describing team\u002Fgoals; planning prep with start\u002Fstop\u002Fcontinue\u002Frevisit for next quarter based on goals; high-stakes decisions with conservative\u002Fbalanced\u002Fambitious paths, outlining outcomes\u002Frisks\u002Fdependencies\u002Fsignals. Treat outputs as drafts—refine with judgment to move from messy to testable.",{"title":52,"searchDepth":53,"depth":53,"links":54},"",2,[55,56,57],{"id":19,"depth":53,"text":20},{"id":30,"depth":53,"text":31},{"id":40,"depth":53,"text":41},[],null,"md",false,{"content_references":63,"triage":69},[64],{"type":65,"title":66,"url":67,"context":68},"other","Prompt engineering basics","https:\u002F\u002Fopenai.com\u002Facademy\u002Fprompting\u002F","mentioned",{"relevance":70,"novelty":71,"quality":71,"actionability":70,"composite":72,"reasoning":73},5,4,4.55,"Category: Product Strategy. The article provides a structured approach to using ChatGPT for brainstorming actionable plans, directly addressing the audience's need for practical applications in product strategy. It outlines a clear framework for generating and refining ideas, making it immediately actionable for builders.",true,"\u002Fsummaries\u002F3fd5f55a253df704-chatgpt-brainstorms-wide-to-narrow-for-actionable-summary","2026-04-16 03:19:03",{"title":5,"description":52},{"loc":75},"3fd5f55a253df704","OpenAI News","article","https:\u002F\u002Fopenai.com\u002Facademy\u002Fbrainstorming","summaries\u002F3fd5f55a253df704-chatgpt-brainstorms-wide-to-narrow-for-actionable--summary",[85,86,87],"prompt-engineering","ai-tools","product-strategy","ChatGPT generates options, structures ideas, and tests plans. Define decisions and constraints first, then use wide-to-narrow flow: brainstorm many ideas, group into themes, score\u002Fcompare, and draft execution 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But planning shifted from 'how to build' to 'should we build?' Without scarcity, builders ship everything possible, drowning products in features. Enterprise demands on a focused client portal (file sharing\u002Fapprovals) tempt adding invoicing\u002Ftime-tracking—each buildable in a weekend. Result: Onboarding swells, support shifts to unrelated issues, original users feel alienated as invoicing seekers dilute focus.",[22,3680,3681,3685],{},[3682,3683,3684],"strong",{},"Quote:"," \"Restraint is about choosing focus over capability. The discipline to say, 'We could build this, but it doesn't belong here.'\"",[22,3687,3688],{},"Instead, integrate via APIs or agent skills (e.g., pre-built invoicing agent). This serves needs without bloating core identity. Restraint applies equally to internal tools: Avoid monoliths for content ops (news monitoring, drafting, visuals, publishing). Break into purpose-built micro-tools connected by agents—easier to maintain as processes evolve.",[22,3690,3691],{},"Agents excel with focused systems; monoliths brittle under change. Common mistake: Overbuilding from unchecked capability, leading to maintenance hell.",[17,3693,3695],{"id":3694},"spec-driven-development-plan-mode-as-industry-standard","Spec-Driven Development: Plan Mode as Industry Standard",[22,3697,3698],{},"By 2026, tools enforce planning first. Claude Code, Cursor, Codeex (all use Shift-Tab for plan mode) converge on spec-driven workflows. Feed a PRD (overview, problem, target customer, user flow, in\u002Fout scope, tech context) into plan mode:",[3700,3701,3702,3709,3715],"ul",{},[3703,3704,3705,3708],"li",{},[3682,3706,3707],{},"Claude Code:"," Auto-enters plan mode on PRD paste; asks clarifying questions, generates technical schematics\u002Fto-dos. Auto-accept edits to build.",[3703,3710,3711,3714],{},[3682,3712,3713],{},"Cursor:"," Pastes full PRD (no compaction); spawns sub-agents, iterative questions (even on auto-model). Outputs architecture diagrams, data flows, tracked to-dos.",[3703,3716,3717,3720],{},[3682,3718,3719],{},"Codeex:"," Text-based technical plan post-questions; simple 'implement' step.",[22,3722,3723],{},"All track progress autonomously. Nimbleist differentiates: Visual workspace with Markdown mockups, Excalidraw\u002FMermaid diagrams, data models alongside agent sessions. Tasks auto-update; local Markdown storage (Git-friendly, no lock-in). Spot scope creep visually before coding.",[22,3725,3726,3729],{},[3682,3727,3728],{},"Before\u002Fafter:"," Raw PRD → Tool-specific implementation plan (technical breakdown, risks clarified). Quality criteria: Clarifying questions ensure alignment; diagrams reveal gaps.",[22,3731,3732,3734],{},[3682,3733,3684],{}," \"Plan first, then build. Cloud code, cursor, codecs, planning is now a first class feature in all of them... spec-driven development has become the industry standard.\"",[22,3736,3737],{},"Pitfall: Jumping to plan mode without strategic vetting builds polished junk.",[17,3739,3741],{"id":3740},"pre-planning-framework-shape-ideas-into-scoped-prds","Pre-Planning Framework: Shape Ideas into Scoped PRDs",[22,3743,3744],{},"Before coding tools, run a Claude (or LLM) conversation as strategic partner. Solo: You + AI. Team: Independent runs, then align on convergence\u002Fdivergence.",[3746,3747,3749],"h3",{"id":3748},"step-1-brain-dump-raw-idea-voice-dictation-recommended","Step 1: Brain Dump Raw Idea (Voice Dictation Recommended)",[22,3751,3752],{},"Use tools like MacOS Whisper Flow. Cover:",[3700,3754,3755,3758,3761,3764,3767],{},[3703,3756,3757],{},"Feature\u002Ftool description.",[3703,3759,3760],{},"Primary customer (traction sources; self for internal).",[3703,3762,3763],{},"Core problem (job-to-be-done: e.g., \"Agencies share deliverables\u002Fget approvals without email chaos\").",[3703,3765,3766],{},"Existing solutions\u002Fgaps.",[3703,3768,3769],{},"User feedback\u002Fquotes\u002Ffrustrations (use verbatim for authenticity).",[22,3771,3772,3775],{},[3682,3773,3774],{},"Quality check:"," More customer words = better AI probing.",[3746,3777,3779],{"id":3778},"step-2-prompt-claude-as-thought-partner","Step 2: Prompt Claude as Thought Partner",[22,3781,3782],{},"Template:",[3784,3785,3790],"pre",{"className":3786,"code":3788,"language":3789},[3787],"language-text","I'm considering building [description]. Primary customer: [who]. Core problem: [job-to-be-done]. Existing: [gaps]. Feedback: [quotes].\n\nAct as strategic thought partner. Ask clarifying questions on purpose, vision, focus, problem. Be constructive: Challenge assumptions, surface trade-offs, spot scope creep risks. Conversation first—no rushed specs\u002Fsolutions.\n","text",[3791,3792,3788],"code",{"__ignoreMap":52},[22,3794,3795],{},"Let LLM generate questions (don't prescribe list—leverages reasoning). Back-and-forth uncovers blind spots.",[22,3797,3798,3800],{},[3682,3799,3684],{}," \"Before I open plan mode in any tool, I run a conversation that determines whether I should be planning this thing at all. So this is the step that most builders and most teams are skipping and it's where restraint actually happens.\"",[3746,3802,3804],{"id":3803},"step-3-direct-to-prd-output","Step 3: Direct to PRD Output",[22,3806,3807],{},"After 3-5 rounds, steer to PRD:",[3700,3809,3810,3816,3822,3828,3834,3840],{},[3703,3811,3812,3815],{},[3682,3813,3814],{},"Overview:"," One-paragraph pitch.",[3703,3817,3818,3821],{},[3682,3819,3820],{},"Problem:"," Precise job-to-be-done.",[3703,3823,3824,3827],{},[3682,3825,3826],{},"Target Customer:"," Who fits perfectly (exclude others).",[3703,3829,3830,3833],{},[3682,3831,3832],{},"Core User Flow:"," Step-by-step (diagrams if visual).",[3703,3835,3836,3839],{},[3682,3837,3838],{},"In\u002FOut of Scope:"," Restraint muscle—list exclusions explicitly.",[3703,3841,3842,3845],{},[3682,3843,3844],{},"Technical Context:"," High-level (e.g., stack, integrations).",[22,3847,3848,3851],{},[3682,3849,3850],{},"Example evolution:"," Client portal raw idea → Clarified (agencies only, no PM\u002Finvoicing) → Scoped PRD → Plan mode.",[22,3853,3854,3857],{},[3682,3855,3856],{},"Trade-offs:"," Time upfront saves rework; critical for solos blurring builder\u002FPM roles. Prerequisites: Basic PM concepts (job-to-be-done); comfortable prompting.",[22,3859,3860],{},"Fits broader workflow: Idea → Pre-plan (restraint) → PRD → Plan mode → Build.",[22,3862,3863,3866],{},[3682,3864,3865],{},"Exercise:"," Voice-dump next idea; run framework independently if team. Compare PRDs before\u002Fafter: Bloat reduced?",[17,3868,3870],{"id":3869},"key-takeaways","Key Takeaways",[3700,3872,3873,3876,3879,3882,3885,3888,3891,3894,3897],{},[3703,3874,3875],{},"Always ask 'should we?' before 'how?': Use restraint to protect product identity.",[3703,3877,3878],{},"Build micro-tools + agent connections over monoliths for ops.",[3703,3880,3881],{},"Shift-Tab into plan mode in Claude Code\u002FCursor\u002FCodeex after PRD.",[3703,3883,3884],{},"Brain-dump with customer quotes; prompt LLM to challenge assumptions\u002Fscope creep.",[3703,3886,3887],{},"Output scoped PRD: Explicit in\u002Fout scope prevents feature bloat.",[3703,3889,3890],{},"Visual tools like Nimbleist catch issues early via diagrams.",[3703,3892,3893],{},"Run pre-planning solo\u002Fteam; align on divergences for strategy.",[3703,3895,3896],{},"Voice dictation accelerates dumps; verbatim feedback grounds prompts.",[3703,3898,3899],{},"Practice: Shape one raw idea to PRD this week—feed to tool, build only if passes restraint.",{"title":52,"searchDepth":53,"depth":53,"links":3901},[3902,3903,3904,3910],{"id":3674,"depth":53,"text":3675},{"id":3694,"depth":53,"text":3695},{"id":3740,"depth":53,"text":3741,"children":3905},[3906,3908,3909],{"id":3748,"depth":3907,"text":3749},3,{"id":3778,"depth":3907,"text":3779},{"id":3803,"depth":3907,"text":3804},{"id":3869,"depth":53,"text":3870},[106],"AI can build anything now. The harder question is what deserves to be built. I break down why restraint is the most important skill in AI-first development, then give you a concrete framework for practicing it.\n\nI'll give you a pre-planning prompt template and demo how to use plan mode demos across all popular tools, plus a look at how I architect my own operations using focused tools connected by agent skills.\n\n👇 **Check out Nimbalyst**\nUse Nimbalyst for free - The visual workspace for building with Codex and Claude Code. https:\u002F\u002Fnimbalyst.com\n\n👇 **Your Builder Briefing (free)**\nhttps:\u002F\u002Fbuildermethods.com - Your free, 5-minute read to keep up with the latest tools & workflows for building with AI.\n\n👇 **Join Builder Methods Pro**\nhttps:\u002F\u002Fbuildermethods.com\u002Fpro - The membership for pros building with AI.  Courses.  Workshops.  Private community.  Video training library.\n\n👇 **Try my tools** (free open source):\nhttps:\u002F\u002Fbuildermethods.com\u002Fagent-os\nhttps:\u002F\u002Fbuildermethods.com\u002Fdesign-os\n\n▶️ Related videos:\nMaster these skills to gain an UNFAIR advantage: https:\u002F\u002Fyoutu.be\u002F7JBuA1GHAjQ\n\n💬 Drop a comment with your questions and requests for upcoming videos!\n\nChapters:\n\n00:00 Building software in 2026\n01:12  The new craft.\n02:05  Product-market-fit\n03:09 Internal-tool building.\n04:14 Spec-driven development\n12:07 Nimbalyst\n14:04 Shape before plan",{},"\u002Fsummaries\u002F09e94e776004a54b-master-restraint-decide-what-not-to-build-summary","2026-03-31 12:01:03","2026-04-03 21:22:23",{"title":3664,"description":3912},{"loc":3914},"09e94e776004a54b","Brian Casel","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=s_YTsqTLRxw","summaries\u002F09e94e776004a54b-master-restraint-decide-what-not-to-build-summary",[87,86,85,3925],"dev-productivity","AI speeds execution, but restraint—deciding 'should we build this?'—prevents scope creep. Use a pre-planning framework to shape raw ideas into scoped PRDs before spec-driven tools like Cursor or Claude Code.",[3925],"mjM5aA0mRxkcukvREX81Pm0zTdgpK5zuJNIqsPrZBZ0",{"id":3930,"title":3931,"ai":3932,"body":3937,"categories":3971,"created_at":59,"date_modified":59,"description":52,"extension":60,"faq":59,"featured":61,"kicker_label":59,"meta":3972,"navigation":74,"path":4005,"published_at":4006,"question":59,"scraped_at":4007,"seo":4008,"sitemap":4009,"source_id":4010,"source_name":4011,"source_type":81,"source_url":4012,"stem":4013,"tags":4014,"thumbnail_url":59,"tldr":4015,"tweet":59,"unknown_tags":4016,"__hash__":4017},"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":3933,"output_tokens":3934,"processing_time_ms":3935,"cost_usd":3936},6051,2389,14060,0.00189785,{"type":14,"value":3938,"toc":3966},[3939,3943,3946,3949,3953,3956,3959,3963],[17,3940,3942],{"id":3941},"consistent-asset-reuse-drives-scene-cohesion","Consistent Asset Reuse Drives Scene Cohesion",[22,3944,3945],{},"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.",[22,3947,3948],{},"Trade-off: Early stage means outputs shine in controlled prompts but may need refinement for complex multi-shot sequences.",[17,3950,3952],{"id":3951},"pro-controls-unlock-precise-storytelling","Pro Controls Unlock Precise Storytelling",[22,3954,3955],{},"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.",[22,3957,3958],{},"Outcome: Professionals ship riskier ideas faster; newcomers prototype without gear costs.",[17,3960,3962],{"id":3961},"subscriber-access-and-proven-filmmaker-outputs","Subscriber Access and Proven Filmmaker Outputs",[22,3964,3965],{},"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":52,"searchDepth":53,"depth":53,"links":3967},[3968,3969,3970],{"id":3941,"depth":53,"text":3942},{"id":3951,"depth":53,"text":3952},{"id":3961,"depth":53,"text":3962},[100],{"content_references":3973,"triage":4002},[3974,3979,3982,3986,3989,3991,3995,3997,4000],{"type":3975,"title":3976,"url":3977,"context":3978},"tool","Flow","http:\u002F\u002Fflow.google\u002F","recommended",{"type":3975,"title":3980,"url":3981,"context":3978},"Flow TV","http:\u002F\u002Flabs.google\u002Fflow\u002Ftv",{"type":65,"title":3983,"author":3984,"url":3985,"context":68},"Battalion","Dave Clark","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=5NZubOOeeV0",{"type":65,"title":3987,"author":3984,"url":3988,"context":68},"NinjaPunk","https:\u002F\u002Fyoutu.be\u002FbhmZflwma64?si=XiXK-OIL-M2-n_6x",{"type":65,"title":3990,"author":3984,"context":68},"Freelancers",{"type":65,"title":3992,"author":3993,"url":3994,"context":68},"Kitsune","Henry Daubrez","https:\u002F\u002Fvimeo.com\u002F1047370252",{"type":65,"title":3996,"author":3993,"context":68},"Electric Pink",{"type":65,"title":3998,"author":3999,"context":68},"Dear Stranger","Junie Lau",{"type":65,"title":4001,"context":3978},"Behind the Lens: AI, Creativity, and the Future of Filmmaking Tools",{"relevance":3907,"novelty":3907,"quality":71,"actionability":3907,"composite":4003,"reasoning":4004},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":3931,"description":52},{"loc":4005},"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",[86,85],"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":4019,"title":4020,"ai":4021,"body":4026,"categories":4060,"created_at":59,"date_modified":59,"description":52,"extension":60,"faq":59,"featured":61,"kicker_label":59,"meta":4061,"navigation":74,"path":4077,"published_at":59,"question":59,"scraped_at":4078,"seo":4079,"sitemap":4080,"source_id":4081,"source_name":4011,"source_type":81,"source_url":3994,"stem":4082,"tags":4083,"thumbnail_url":59,"tldr":4084,"tweet":59,"unknown_tags":4085,"__hash__":4086},"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":4022,"output_tokens":4023,"processing_time_ms":4024,"cost_usd":4025},4263,1924,12129,0.00130775,{"type":14,"value":4027,"toc":4055},[4028,4032,4035,4038,4042,4045,4048,4052],[17,4029,4031],{"id":4030},"veo2s-strengths-deliver-global-consistency-with-minimal-tweaks","VEO2's Strengths Deliver Global Consistency with Minimal Tweaks",[22,4033,4034],{},"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.",[22,4036,4037],{},"Trade-off: No magic—requires massive iteration and 'hoops' for vision alignment, but rewards with nostalgic feels absent in cold AI outputs.",[17,4039,4041],{"id":4040},"steering-ai-requires-taste-and-relentless-editing","Steering AI Requires Taste and Relentless Editing",[22,4043,4044],{},"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.",[22,4046,4047],{},"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.",[17,4049,4051],{"id":4050},"practical-path-to-ai-film-production","Practical Path to AI Film Production",[22,4053,4054],{},"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. Outcome: A film evoking goosebumps, accessible to non-experts via taste-driven iteration, signaling AI's evolution for creators.",{"title":52,"searchDepth":53,"depth":53,"links":4056},[4057,4058,4059],{"id":4030,"depth":53,"text":4031},{"id":4040,"depth":53,"text":4041},{"id":4050,"depth":53,"text":4051},[100],{"content_references":4062,"triage":4074},[4063,4066,4068,4070],{"type":3975,"title":4064,"author":4065,"context":68},"VEO2","Google",{"type":3975,"title":4067,"context":68},"MMAudio",{"type":3975,"title":4069,"context":68},"Udio",{"type":65,"title":4071,"author":4072,"context":4073},"Nick Rubin interview","Nick Rubin","cited",{"relevance":71,"novelty":3907,"quality":71,"actionability":71,"composite":4075,"reasoning":4076},3.8,"Category: AI & LLMs. The article discusses practical techniques for using VEO2 in animation, addressing the pain point of how to effectively use AI tools in creative processes. 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":4020,"description":52},{"loc":4077},"dccbbca00fb182e4","summaries\u002Fdccbbca00fb182e4-building-heartfelt-ai-animation-with-veo2-curation-summary",[86,85],"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",{"id":4088,"title":4089,"ai":4090,"body":4095,"categories":4199,"created_at":59,"date_modified":59,"description":52,"extension":60,"faq":59,"featured":61,"kicker_label":59,"meta":4200,"navigation":74,"path":4213,"published_at":4214,"question":59,"scraped_at":4214,"seo":4215,"sitemap":4216,"source_id":4217,"source_name":80,"source_type":81,"source_url":4218,"stem":4219,"tags":4220,"thumbnail_url":59,"tldr":4222,"tweet":59,"unknown_tags":4223,"__hash__":4224},"summaries\u002Fsummaries\u002Fce943383d65893df-codex-prompts-automate-finance-reporting-and-model-summary.md","Codex Prompts Automate Finance Reporting and Models",{"provider":7,"model":8,"input_tokens":4091,"output_tokens":4092,"processing_time_ms":4093,"cost_usd":4094},7986,2056,33845,0.00211835,{"type":14,"value":4096,"toc":4194},[4097,4101,4104,4124,4127,4130,4134,4137,4151,4154,4171,4175,4178,4191],[17,4098,4100],{"id":4099},"generate-review-ready-narratives-and-reporting-packs","Generate Review-Ready Narratives and Reporting Packs",[22,4102,4103],{},"Finance teams draft executive narratives and refresh recurring CFO\u002Fboard packs by uploading close workbooks, revenue\u002Fexpense dashboards, prior MBRs\u002Fdecks, forecast updates, cash views, owner notes, and Slack\u002Femail threads. Codex analyzes variances from forecast, risks, CFO prep questions, and changes since last period, producing Word docs or updated PPTs\u002FPDFs with cited sources for every material number.",[22,4105,4106,4107,4111,4112,4115,4116,4119,4120,4123],{},"Core prompt structure: \"Prepare ",[4108,4109,4110],"span",{},"period"," ",[4108,4113,4114],{},"MBR\u002FCFO pack"," for ",[4108,4117,4118],{},"team\u002Fbusiness",". Use ",[4108,4121,4122],{},"list files\u002Fcontext",". Draft narrative\u002Fpack with key variances, changes since forecast, risks, questions, follow-ups. Cite tab\u002Fdashboard\u002Fnote for each number. Flag missing support or open items.\"",[22,4125,4126],{},"Customization: Specify audience, priority metrics, unchanged sections, and output format (e.g., Word doc named 'Monthly Business Review Narrative'). Plugins like Google Drive, SharePoint, Spreadsheets, Presentations, Slack, Teams, Gmail\u002FOutlook pull in files directly. Example for April Enterprise Sales MBR uses 'April Close Workbook.xlsx', 'April Revenue Dashboard', prior MBR deck, and #finance-close channel—outputs sourced narrative ready for owner review, saving hours on first drafts.",[22,4128,4129],{},"For packs: Refresh metrics, deltas, charts, commentary from latest KPI dashboard and forecast model; summarize changes and flag slides needing review. Do not invent metrics—unsupported numbers get flagged.",[17,4131,4133],{"id":4132},"clean-models-and-build-variance-bridges","Clean Models and Build Variance Bridges",[22,4135,4136],{},"Before leadership reviews, Codex audits workbooks for structure issues (hardcodes, broken links, circulars, sign errors, period labels, checks) and makes safe fixes while flagging business assumptions for owners. Outputs cleaned .xlsx plus QA memo ranked by severity, focusing on key tabs like Revenue Drivers, Headcount Plan, Cash Forecast.",[22,4138,4139,4140,4115,4143,4146,4147,4150],{},"Prompt: \"Clean\u002Freview ",[4108,4141,4142],{},"model",[4108,4144,4145],{},"audience",". Check ",[4108,4148,4149],{},"structure\u002Fformulas\u002Fetc.",". Make safe changes, flag assumptions. Return cleaned model + QA memo with risks, fixes, review needs.\"",[22,4152,4153],{},"Customization: Prioritize tabs, define safe changes. Example for FY27 Operating Plan pays special attention to Exec Summary tab.",[22,4155,4156,4157,4111,4159,4162,4163,4166,4167,4170],{},"For variances: Bridge actuals vs. budget\u002Fforecast across revenue, gross margin, opex, EBITDA, FCF, balance sheet using close books, trackers, dashboards. Reconciles breaks, drafts owner questions, cites drivers. Prompt: \"Explain ",[4108,4158,4110],{},[4108,4160,4161],{},"comparison"," variance. Use ",[4108,4164,4165],{},"files",". Build bridge across ",[4108,4168,4169],{},"lines",". Flag unsupported, cite sources.\" Example for April forecast-to-actual uses FY26 Budget.xlsx, March Forecast.xlsx, Opex Tracker—separates confirmed drivers from queries.",[17,4172,4174],{"id":4173},"refresh-forecasts-with-scenarios","Refresh Forecasts with Scenarios",[22,4176,4177],{},"Update operating\u002Fdriver models, headcount\u002Fcash plans against actuals and assumptions to build base\u002Fdownside\u002Fupside cases. Outputs scenarios with sensitivities, cash\u002Fhiring impacts, trigger points, recommendations, and approval lists—includes sensitivity tables.",[22,4179,4180,4181,4115,4184,4119,4187,4190],{},"Prompt: \"Refresh ",[4108,4182,4183],{},"plan",[4108,4185,4186],{},"business",[4108,4188,4189],{},"models\u002Factuals\u002Fnotes",". Create scenarios with drivers, impacts, triggers, rec. Include sensitivity table, flag assumptions.\"",[22,4192,4193],{},"Customization: Define scenarios, approval needs, leadership outputs. Example for FY27 Enterprise forecast uses Revenue Driver Model.xlsx, 13 Week Cash Forecast.xlsx, #fy27-planning notes—flags overwrites, summarizes implications. Plugins enable seamless spreadsheet\u002Fpresentation handling, turning weekly updates into minutes of prompting.",{"title":52,"searchDepth":53,"depth":53,"links":4195},[4196,4197,4198],{"id":4099,"depth":53,"text":4100},{"id":4132,"depth":53,"text":4133},{"id":4173,"depth":53,"text":4174},[103],{"content_references":4201,"triage":4211},[4202,4205,4208],{"type":65,"title":4203,"url":4204,"context":3978},"Codex for everyday work on-demand webinar","https:\u002F\u002Facademy.openai.com\u002Fhome\u002Fclubs\u002Fwork-users-ynjqu\u002Fvideos\u002Fcodex-for-everyday-work-recording-2026-05-06",{"type":65,"title":4206,"url":4207,"context":3978},"Codex for Work hub","https:\u002F\u002Fopenai.com\u002Facademy\u002Fcodex-for-work\u002F",{"type":65,"title":4209,"url":4210,"context":3978},"Top 10 Codex for Work use cases","https:\u002F\u002Fopenai.com\u002Facademy\u002Ftop-10-use-cases-codex-for-work\u002F",{"relevance":70,"novelty":71,"quality":71,"actionability":70,"composite":72,"reasoning":4212},"Category: AI Automation. The article provides a detailed explanation of how finance teams can leverage Codex for automating reporting and model cleanup, addressing a specific pain point of efficiency in finance workflows. It includes concrete examples of prompts and outputs, making it immediately actionable for users looking to implement these practices.","\u002Fsummaries\u002Fce943383d65893df-codex-prompts-automate-finance-reporting-and-model-summary","2026-05-13 12:01:01",{"title":4089,"description":52},{"loc":4213},"ce943383d65893df","https:\u002F\u002Fopenai.com\u002Facademy\u002Fhow-finance-teams-use-codex","summaries\u002Fce943383d65893df-codex-prompts-automate-finance-reporting-and-model-summary",[85,86,4221],"automation","Finance teams cut assembly time on MBR narratives, model cleanups, CFO packs, variance bridges, and forecasts by feeding Codex existing spreadsheets, dashboards, and notes via copy-paste prompts that cite sources and flag risks—no coding required.",[],"FATmC96IjW_7Yem-_VCsjtsksQHU1eDjoZccndvcfqQ"]