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For accountant review, not tax advice.",h1:"AI Accounting & Tax Assistant"},cta:"Upload a ledger or trial balance",contentPage:"/tools/ai-accounting-assistant"},{slug:"investing",displayName:"Investing",chipLabel:"Investing",description:"Analyze filings, model scenarios, and summarize positions. Live-data grounding is required before this vertical ships.",icon:"trending-up",guardrail:"This is information and analysis only -- it is not investment, financial, or tax advice and is not a recommendation to buy or sell any security. Figures are only as current as the data retrieved; verify prices and filings against a primary source before acting.",skills:["equity-research","filing-analysis","earnings-analysis","portfolio-review","valuation-model","technical-analyst","position-sizer","breakout-trade-planner","earnings-trade-analyzer","scenario-analyzer","market-conviction-synthesizer","backtest-expert","trade-performance-coach","options-analyzer"],starterPrompts:["Analyze this 10-K I'm uploading and give me a bull/bear brief","Break down this earnings report -- did they beat and what did guidance do?","Read this weekly chart -- trend, support and resistance, and a couple of scenarios","Size this trade: 50k account, 1% risk, entry 42, stop 39"],gaps:["live-price grounding is the stock_quote tool (FMP): dark until FMP_API_KEY is set, then live/dated quotes join the analysis skills","future import: dedicated screener / fundamentals-pull skills once a fundamentals data source is licensed"],status:"owned-strong",seo:{title:"AI Investing Assistant: Filing Analysis & Portfolio Review | Zeplik",metaDescription:"Analyze SEC filings, model scenarios and review portfolios with live-data grounding. Information and analysis only, not investment advice.",h1:"AI Investing Assistant"},cta:"Upload a filing or paste your holdings",contentPage:"/tools/ai-investing-assistant"},{slug:"marketing",displayName:"Marketing & SEO",chipLabel:"Marketing",description:"Write on-brand copy, plan campaigns, optimize conversion, and shape SEO and social strategy -- grounded in your product, audience, and inputs.",icon:"megaphone",guardrail:"This is marketing strategy and draft copy for your review, not verified fact or a guarantee of results. Any statistic, benchmark, or projection is only as reliable as the inputs you provide; check every claim against a primary source before you publish, and confirm it meets the advertising, disclosure, and privacy rules in your market.",skills:["copywriting","content-research-writer","draft-content","content-creation","content-pipeline-navigator","brand-voice-enforcement","email-sequence","social-content","social-publishing","marketing-strategy-pmm","marketing-ideas","marketing-psychology","paid-ads","page-cro","onboarding-cro","signup-flow-cro","form-cro","popup-cro","paywall-upgrade-cro","pricing-strategy","referral-program","competitor-alternatives","competitive-ads-extractor","schema-markup","ab-test-setup","domain-name-brainstormer"],starterPrompts:["Write landing-page copy for the product I'll describe -- headline, subhead, and CTA","Draft a 5-email welcome sequence for the audience I'll paste","Review this pricing page and tell me how to lift conversion","Give me a launch plan and 10 marketing ideas for what I'm shipping"],gaps:["grounding tool: backlink / domain-authority data (Ahrefs/Semrush-equiv) so off-page and link work is data-backed, not from-memory","grounding tool: GA4/analytics pull so performance reports read real numbers, not pasted ones"],status:"owned-strong",seo:{title:"AI Marketing Assistant: Copywriting, Campaigns & SEO | Zeplik",metaDescription:"Write on-brand copy, plan campaigns, optimize conversion and shape SEO and social strategy from your own product. Drafts to review before you publish.",h1:"AI Marketing Assistant"},cta:"Describe your product to get started",contentPage:"/tools/ai-marketing-assistant"},{slug:"sales",displayName:"Sales",chipLabel:"Sales",description:"Research accounts and prospects, write outreach, prep for calls, triage leads, and review pipeline -- grounded in the deal context you provide.",icon:"handshake",guardrail:"This is sales research and draft outreach for your review, not verified fact. Any company detail, contact, or claim is only as accurate as the sources you provide or that it can find, so confirm names, titles, and figures before you send, and make sure your outreach follows the anti-spam, privacy, and do-not-contact rules in your market.",skills:["account-research","lead-research-assistant","contact-research","lead-triage","draft-outreach","compose-outreach","sales-call-prep","sales-call-summary","competitive-intelligence","sales-asset","pipeline-review","sales-forecast","deal-cycle-navigator","call-list","sales-daily-briefing","crm-cleanup"],starterPrompts:["Research this company before my call and give me talking points -- I'll paste their site and my notes","Draft cold outreach to the prospect I'll describe, anchored to one specific signal","Prioritize these inbound leads and tell me who to call first -- I'll paste the list","Turn my discovery-call notes into next steps and a follow-up email"],gaps:["grounding tool: live CRM / enrichment pull (Salesforce, HubSpot, Apollo-equiv) so account and contact data is fetched, not pasted","grounding tool: live company + news signals feed so outreach triggers are current, not from memory"],status:"owned-strong",seo:{title:"AI Sales Assistant: Prospecting, Outreach & Deal Prep | Zeplik",metaDescription:"Research accounts, write outreach anchored to real signals, prep calls and triage leads from your deal context. Drafts to review before you send.",h1:"AI Sales Assistant"},cta:"Paste a prospect or deal to get started",contentPage:"/tools/ai-sales-assistant"},{slug:"security",displayName:"Security",chipLabel:"Security",description:"Review code and architecture for vulnerabilities, model threats, harden auth and secrets, and plan incident response -- analysis for a qualified engineer to verify.",icon:"shield",guardrail:"This is security analysis and hardening guidance for review by a qualified security engineer, not a certified audit, a penetration test, or a guarantee that a system is safe. Threat models and fixes are only as complete as the code and context you provide; verify every finding, and check dependencies and CVEs against a current advisory source before you rely on it.",skills:["security-engineering","security-best-practices-fam","threat-modeling-fam","adversarial-review","auth-implementation-patterns","
1secrets-management","supply-chain-guard","signed-audit-trails-recipe","incident-response","network-101","security-compliance","compliance-check"],starterPrompts:["Review this code for security vulnerabilities and rank them by severity -- I'll paste it","Build a threat model for the system I'll describe","Audit my authentication and session flow for weaknesses","Draft an incident-response plan for a suspected data breach"],gaps:["SHIPPED grounding tool: cve_lookup (OSV.dev, free/keyless) verifies real dated CVE/GHSA advisories and fixed versions instead of recalled ids","grounding tool: SAST / dependency-scan ingestion so reviews read real scanner output, not a paste"],status:"owned-strong",seo:{title:"AI Security Assistant: Code Review, Threat Modeling & AppSec | Zeplik",metaDescription:"Find vulnerabilities in code and architecture, model threats, harden auth and secrets, and plan incident response. For a qualified engineer to verify.",h1:"AI Security Assistant"},cta:"Paste code or describe your system",contentPage:"/tools/ai-security-assistant"},{slug:"software-development",displayName:"Software Development",chipLabel:"Coding",description:"Design systems, review and debug code, plan tests, cut tech debt, and ship features -- grounded in the code and stack you share.",icon:"code",guardrail:"This is engineering guidance and draft code for your review, not tested, production-ready software. It reflects general best practice, not your exact stack, versions, or constraints, so read it critically, run it against your own tests and security review, and confirm it behaves correctly in your environment before you ship.",skills:["system-design","backend-architecture","architecture","api-design-principles","database-design-fam","code-review-excellence","systematic-debugging","debugging-strategies","test-driven-development","testing-strategy","error-handling-patterns","performance-optimizer","simplify-code","tech-debt","verification-before-completion","feature-delivery-navigator","deploy-checklist","cloud-devops","docker-expert","git-advanced-workflows","nextjs-best-practices","python-engineering","technical-documentation","crafting-effective-readmes","prompt-engineering","rag-implementation","mcp-builder"],starterPrompts:["Design the architecture for the system I'll describe -- components, data model, tradeoffs","Review this code and tell me what to fix before I merge -- I'll paste it","Help me debug this error systematically -- I'll paste the stack trace","Plan a test strategy for the feature I'll describe"],gaps:["grounding tool: repo / codebase ingestion so reviews and designs read your actual code, not a paste","SHIPPED grounding tools: package_latest (npm/PyPI/crates/RubyGems/Go, free/keyless) verifies the real current release, and cve_lookup (OSV.dev) dates advisories -- so dependency and upgrade advice is current, not recalled"],status:"owned-strong",seo:{title:"AI Coding Assistant: Architecture, Code Review & Debugging | Zeplik",metaDescription:"Design systems, review and debug code, plan tests, cut tech debt and ship features across your stack. Draft code to review, test and security-check.",h1:"AI Coding Assistant"},cta:"Paste code or describe what you are building",contentPage:"/tools/ai-coding-assistant"},{slug:"science",displayName:"Science & Research",chipLabel:"Research",description:"Run sourced research, check facts, synthesize literature, and set up scientific and computational analysis -- every claim traced to a source you can verify.",icon:"flask",guardrail:"This is research analysis and synthesis for your own verification, not peer-reviewed fact, clinical guidance, or medical advice. Every claim, citation, and figure must be checked against the primary source before you rely on it, and any health, safety, or otherwise regulated decision needs a qualified professional.",skills:["deep-research","research","research-deep-dive-navigator","research-methodology","fact-check","knowledge-synthesis","summarize-anything","enterprise-search","notebooklm","academic-publishing","scientific-figures","scientific-computing","clinical-writing","bio-research-toolkit","genomics-toolkits","cheminformatics-toolkits","medical-imaging-signals","quantum-computing"],starterPrompts:["Write a sourced research report on the question I'll give you","Fact-check the claims in this text and cite what holds up -- I'll paste it","Synthesize these papers into a literature review -- I'll upload them","Help me set up the analysis for the dataset I'll describe"],gaps:["live-scholarly grounding is the scholarly_search tool (OpenAlex): verifies real papers -- title, authors, year, venue, DOI -- before any citation, and returns an honest 'unverifiable' on a miss so a reference is never fabricated","computational grounding is the code_execution tool: runs model-authored python/js/bash in an isolated sandbox with your uploaded data files staged into its workspace, so pandas/pyarrow analysis over a CSV/JSON/parquet upload is actually run -- figures computed in-VM, not just described"],status:"owned-strong",seo:{title:"AI Research Assistant: Sourced Re
1search, Fact-Checking | Zeplik",metaDescription:"Run sourced research reports, fact-check claims, synthesize literature and set up computational analysis. Every claim traced to a source you can verify.",h1:"AI Research Assistant"},cta:"Ask a research question or upload sources",contentPage:"/tools/ai-research-assistant"},{slug:"design",displayName:"Design",chipLabel:"Design",description:"Critique and design interfaces, build design systems, audit accessibility, and write UX copy -- grounded in the screens, brand, and product you share.",icon:"palette",guardrail:"This is design critique and draft work for your review, not a finished, tested product. Accessibility, brand, and usability judgments are only as good as the screens and context you provide, so validate them with real users and an accessibility audit, and confirm anything you ship meets your brand and WCAG requirements.",skills:["ui-ux-pro-max","frontend-design","frontend-ui-patterns","responsive-design","mobile-design","interaction-design","premium-web-design","design-critique","design-mirror","design-system","design-systems","accessibility-review","wcag-audit-patterns","ux-copy","user-research","ux-researcher-designer","brand-guidelines","brand-landingpage","theme-factory","figma","figma-implement-design","design-handoff","design-delivery-navigator","canvas-design"],starterPrompts:["Critique this screen and tell me what to fix before I ship it -- I'll paste a screenshot or the markup","Audit this interface for accessibility and WCAG issues -- I'll share the page","Help me design a component and its states for the UI I'll describe","Rewrite the UX copy on this flow to be clearer and on-brand"],gaps:["grounding tool: live Figma / design-file ingestion so critiques read the actual file, not a screenshot","SHIPPED grounding tool: accessibility_scan (static WCAG audit over pasted HTML or a fetched URL) so structural findings are measured, not eyeballed -- rendered checks (contrast, focus) remain a documented fast-follow"],status:"owned-strong",seo:{title:"AI Design Assistant: UI Critique & Design Systems | Zeplik",metaDescription:"Critique interfaces, design components and systems, audit accessibility and write UX copy from your own screens. Drafts to validate with real users.",h1:"AI Design Assistant"},cta:"Paste a screen or describe the UI",contentPage:"/tools/ai-design-assistant"},{slug:"data",displayName:"Data & Analytics",chipLabel:"Data",description:"Explore datasets, write SQL, run statistical analysis, build dashboards, and turn results into a story -- grounded in the data you provide.",icon:"data",guardrail:"This is data analysis and draft code for your review, not a verified result. Every figure depends on the data you provide and the assumptions behind it, so check the query, the sample, and the method before you rely on a number, and confirm any statistic against the source before you report or act on it.",skills:["data-scientist","data-engineer","analyze-dataset","explore-data","statistical-analysis","statistical-ml-python","data-ml-engineering","sql-queries","write-query","dataframe-big-data","build-dashboard","kpi-dashboard-design","python-data-viz","create-viz","data-storytelling","validate-data","data-context-extractor","data-insight-navigator","clickhouse-io"],starterPrompts:["Explore this dataset and tell me what stands out -- I'll upload the CSV","Write the SQL to answer the question I'll describe against my schema","Run a statistical analysis on these results and tell me what is significant","Design a KPI dashboard for the metrics I care about -- I'll list them"],gaps:["grounding tool: live database / warehouse connection so queries run against real data, not a paste","computational grounding is the code_execution tool: runs model-authored python in an isolated sandbox with your uploaded dataset staged into its workspace, so pandas analysis over the real bytes is actually computed, not just written"],status:"owned-strong",seo:{title:"AI Data Analyst: SQL, Statistics & Dashboards | Zeplik",metaDescription:"Explore datasets, write SQL, run statistical analysis and build dashboards from your own data. Draft code and figures to check against the source.",h1:"AI Data Analyst"},cta:"Upload a dataset or describe your schema",contentPage:"/tools/ai-data-analyst"},{slug:"product",displayName:"Product Management",chipLabel:"Product",description:"Turn ideas into specs, prioritize a roadmap, plan sprints, and review metrics -- grounded in the product context and constraints you share.",icon:"compass",guardrail:"This is product thinking and draft artifacts for your review, not validated strategy or a guarantee of outcomes. Priorities, specs, and estimates reflect the context you provide, not your users or market, so test the assumptions with real research and data before you commit a roadmap.",skills:["product-manager-toolkit","product-strategist","product-discovery-navigator","ai-product","agile-product-owner","before-you-build","idea-to-spec","requirements-clarity","product-brainstorming","game-changing-features","metrics-review","roadmap-update","sprint-planning","ship-learn-next","ai-wrapper-product"],starterPrompts:["Turn this rough idea into a product spec with scope and acceptance criteria","Help me prioritize this backlog and defend the roadmap -- I'll paste the list","Plan the next sprint from the goals and capacity I'll describe","Review these product metrics and tell me what to do next"],gaps:["grounding tool: live analytics / product-metrics pull so reviews read real usage, not pasted numbers","grounding tool: issue-tracker (Jira, Linear) ingestion so roadmaps read the actual backlog"],status:"owned-strong",seo:{title:"AI Product Manager: Specs, Roadmaps & Sprint Planning | Zeplik",metaDescription:"Turn ideas into specs, prioritize roadmaps, plan sprints and review metrics from your own product context. Drafts to validate with real research.",h1:"AI Product Manager"},cta:"Describe your product or paste your backlog",contentPage:"/tools/ai-product-manager"},{slug:"hr",displayName:"HR & People",chipLabel:"HR",description:"Plan hiring, design interviews, draft offers, run onboarding, and write reviews -- grounded in the roles, policies, and people data you provide.",icon:"users",guardrail:"This is HR drafting and analysis for your review, not legal advice or a compliant decision on its own. Employment, pay, and policy rules vary by jurisdiction and change often, so have qualified HR and legal counsel review anything that affects hiring, compensation, discipline, or termination before you act, and keep people data confidential.",skills:["hiring-navigator","interview-plan","draft
1-offer","employee-onboarding","recruiting-pipeline","comp-analysis","performance-review","org-planning","people-report","policy-lookup"],starterPrompts:["Design an interview plan and questions for the role I'll describe","Draft an offer letter from the details I'll paste","Build a 30-day onboarding plan for a new hire on this team","Help me write a performance review for my direct report"],gaps:["grounding tool: live HRIS / ATS pull (Workday, Greenhouse, Rippling) so people and pipeline data is fetched, not pasted","grounding tool: current market-comp data feed so pay benchmarks are dated, not from memory"],status:"owned-strong",seo:{title:"AI HR Assistant: Hiring, Onboarding & Performance | Zeplik",metaDescription:"Plan hiring, design interviews, draft offers, run onboarding and write performance reviews from your own policies. Drafts to review, not legal advice.",h1:"AI HR Assistant"},cta:"Describe a role or paste your policy",contentPage:"/tools/ai-hr-assistant"},{slug:"customer-support",displayName:"Customer Support",chipLabel:"Support",description:"Draft replies, handle complaints, triage tickets, write knowledge-base articles, and read customer sentiment -- grounded in the ticket and account context you provide.",icon:"support",guardrail:"This is draft support work for your review, not an approved company response. Replies, articles, and triage reflect the context you provide, so verify facts, account details, and any commitment or refund against your policy and systems before you send, and never expose another customer's data.",skills:["support-reply","handle-complaint","ticket-triage","customer-escalation","kb-article","customer-research","customer-pulse"],starterPrompts:["Draft a support reply to the ticket I'll paste, empathetic and clear","Help me handle this angry customer complaint end to end","Triage and prioritize these support tickets -- I'll paste the queue","Turn this resolved issue into a knowledge-base article"],gaps:["grounding tool: live helpdesk pull (Zendesk, Intercom, Front) so tickets and account history are fetched, not pasted","grounding tool: knowledge-base / docs retrieval so replies cite your real, current help content"],status:"owned-strong",seo:{title:"AI Customer Support Assistant: Replies, Triage & KB Articles | Zeplik",metaDescription:"Draft empathetic support replies, handle complaints, triage tickets and write knowledge-base articles from your tickets. Review before you send.",h1:"AI Customer Support Assistant"},cta:"Paste a ticket to get started",contentPage:"/tools/ai-customer-support-assistant"},{slug:"operations",displayName:"Operations",chipLabel:"Operations",description:"Document processes, write runbooks, plan capacity, assess risk, and brief leadership -- grounded in the systems, data, and context you provide.",icon:"operations",guardrail:"This is operations drafting and analysis for your review, not a verified plan or a guarantee of outcomes. Runbooks, forecasts, and risk assessments are only as good as the inputs you provide, so confirm every figure and step against your real systems and have the right owner sign off before you rely on it.",skills:["process-doc","runbook","process-optimization","kaizen","capacity-plan","risk-assessment","compliance-tracking","vendor-review","change-request","stakeholder-update","status-report","quarterly-review","business-pulse","monday-brief","friday-brief","meeting-insights-analyzer"],starterPrompts:["Write an SOP for the process I'll describe, step by step","Turn our deploy steps into an operational runbook","Assess the operational risks in this project and how to mitigate them","Draft a quarterly business review from the data I'll paste"],gaps:["grounding tool: live ops-metrics / BI pull so reviews and briefs read real numbers, not pasted ones","grounding tool: ticketing / project-tracker ingestion so status and capacity read the actual system of record"],status:"owned-strong",seo:{title:"AI Operations Assistant: SOPs, Runbooks & Business Reviews | Zeplik",metaDescription:"Document processes, write runbooks, plan capacity, assess risk and brief leadership from your own systems. Drafts to confirm with the right owner.",h1:"AI Operations Assistant"},cta:"Describe a process or paste your data",contentPage:"/tools/ai-operations-assistant"},{slug:"ai-ml-engineering",displayName:"AI & ML Engineering",chipLabel:"AI/ML",description:"Design LLM apps and agents, choose models and infrastru
1cture, build evals, and ship ML systems -- grounded in your stack, data, and constraints.",icon:"brain-circuit",guardrail:"This is engineering guidance and draft code for your review, not tested, production-ready ML or LLM systems. Model, framework, and infrastructure choices depend on your data, scale, and constraints, so benchmark them against your own evals and load, verify every library version and API against current docs, and confirm safety, privacy, and cost behavior before you ship.",skills:["ml-engineer","llm-app-patterns-fam","autonomous-agent-patterns","agent-memory","llm-evaluation-harnesses","llm-observability","structured-generation","vector-databases","llm-serving","llm-quantization","llm-training-frameworks","llm-architectures","multimodal-models","voice-agents","voice-ai-development","reinforcement-learning-libs","interpretability","ai-safety-guardrails","research-engineer","ml-paper-writing","gemini-cli"],starterPrompts:["Design the architecture for a RAG app over the docs I'll describe -- retrieval, chunking, and the model call","Set up an eval harness for my agent: what to measure, the dataset, and the scoring","Recommend a serving and quantization setup to run this model under my latency and cost budget","Review this agent loop for reliability and safety, and tell me what will break in production"],gaps:["grounding tool: live benchmark/leaderboard lookup (LMArena, Open LLM Leaderboard) so head-to-head model quality claims are dated, not from training-cutoff memory (model discovery itself is grounded live via model_hub_lookup against the Hugging Face Hub)","future: a run-and-eval sandbox so an eval harness executes against a real dataset rather than being drafted for you to run"],status:"owned-strong",seo:{title:"AI/ML Engineering Assistant: LLM Apps, Agents & Evals | Zeplik",metaDescription:"Design LLM applications and agents, choose models, serving and vector infrastru
1cture, and build evaluation harnesses. Draft code to review.",h1:"AI and ML engineering assistant"},cta:"Describe your model, agent, or pipeline",contentPage:"/tools/ai-ml-engineering-assistant"},{slug:"career",displayName:"Career & Job Search",chipLabel:"Career",description:"Build a standout resume, tailor it to each role, prep for interviews, and negotiate the offer -- grounded in your real experience and the job you want.",icon:"briefcase",guardrail:"This is career drafting and coaching for your review, not a guarantee of an interview, an offer, or a salary. Resumes, letters, and negotiation scripts are built from what you tell it, so make sure every claim you make is true, tailor it to the specific role, and check any pay figure or benchmark against current market data before you rely on it.",skills:["resume-tailor","resume-ats-optimizer","resume-bullet-writer","resume-quantifier","executive-resume-writer","academic-cv-builder","cover-letter-generator","interview-prep-generator","job-description-analyzer","job-search-navigator","linkedin-profile-optimizer","salary-negotiation-prep","offer-comparison-analyzer","career-changer-translator","portfolio-case-study-writer","interactive-portfolio","reference-list-builder"],starterPrompts:["Tailor my resume to this job description -- I'll paste both","Run my resume through an ATS check and tell me what to fix","Prep me for an interview for the role I'll describe: likely questions and strong answers","Help me negotiate this offer -- here are the numbers and the market I'm in"],gaps:["grounding tool: live salary-benchmark and open-role data so pay ranges and market context are fetched, not estimated from memory","future: an ATS-parse check that runs a resume through a real applicant-tracking parser rather than modeling one"],status:"owned-strong",seo:{title:"AI Career Coach: Resume, Interview Prep & Salary Negotiation | Zeplik",metaDescription:"Tailor your resume to each role, pass the ATS, prep for interviews, optimize LinkedIn and negotiate the offer, from your real experience. Drafts to review.",h1:"AI career coach"},cta:"Paste your resume or a job description",contentPage:"/tools/ai-career-coach"},{slug:"game-dev",displayName:"Game & Interactive Dev",chipLabel:"Game Dev",description:"Design and build games, 3D web experiences, generative art, and programmatic video -- mechanics, engine code, and shaders, grounded in your project.",icon:"gamepad",guardrail:"This is game and interactive-development guidance and draft code for your review, not tested, shippable software. It reflects general engine and web-graphics practice, not your exact engine version, target platform, or performance budget, so run it in your own project, profile it on real hardware, and confirm it behaves and performs correctly before you ship.",skills:["game-development","develop-web-game","3d-web-experience","algorithmic-art","remotion","remotion-best-practices","motion-canvas"],starterPrompts:["Design the core mechanics and a build plan for the game idea I'll describe","Help me build a playable HTML canvas game -- start with the game loop and input","Set up a Three.js scene for the 3D web experience I'll describe, with the camera and lighting","Build a Remotion video from this script: the composition code and the render setup"],gaps:["future: a run-and-preview sandbox so a canvas game or Three.js scene renders and plays in-thread instead of being drafted for you to run","grounding tool: live engine/library version and API lookup so Unity, Godot, and Three.js guidance tracks current releases, not training-cutoff memory"],status:"owned-strong",seo:{title:"AI Game Development Assistant: Mechanics, Engines & 3D Web | Zeplik",metaDescription:"Design game mechanics, build web and canvas games, create 3D experiences and generative art, and script programmatic video. Draft code to review.",h1:"AI game development assistant"},cta:"Describe your game or scene",contentPage:"/tools/ai-game-development-assistant"},{slug:"productivity",displayName:"Productivity & Knowledge",chipLabel:"Productivity",description:"Design Notion and Obsidian systems, organize files and notes, triage your backlog, and prep for deadlines -- built around how y
1ou actually work.",icon:"notebook",guardrail:"This is workflow and organization drafting for your review, not a finished system. Structures, templates, and plans are built from what you describe, so adapt them to how you actually work, back up your data before any bulk reorganization, and confirm a setup fits your tools and habits before you commit to it.",skills:["notion-workflows","obsidian-workflows","linear","deadline-prep","file-organizer","think-tank"],starterPrompts:["Design a Notion system for the workflow I'll describe: databases, properties, and views","Structure my Obsidian vault: folders, links, and a note-taking system that scales","Triage the Linear issues I'll paste and rewrite them as well-formed tickets","Turn my notes and git history into a structured plan for this deadline"],gaps:["grounding tool: live Notion / Linear / Obsidian read-write so systems are built and updated in place, not drafted for you to set up","future: a file-tree scan so reorganization plans read your actual folders rather than a description"],status:"owned-strong",seo:{title:"AI Productivity Assistant: Notion, Obsidian & Workflows | Zeplik",metaDescription:"Design Notion and Obsidian systems, organize files and notes, triage your backlog and prep for deadlines, around how you work. Adapt before you commit.",h1:"AI productivity assistant"},cta:"Describe your workflow or tools",contentPage:"/tools/ai-productivity-assistant"}];function r(){return i.filter(e=>"import-required"!==e.status&&e.skills.length>0)}function s(e){return r().find(a=>a.slug===e)}}}]);
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.