{"outputDir":"/app/data/socials","latest":{"date":"2026-05-05","jsonPath":"/app/data/socials/2026-05-05-socials-batch.json","markdownPath":"/app/data/socials/2026-05-05-socials-batch.md","mtimeMs":1777981504377.2693},"batch":{"date":"2026-05-05","dryRun":false,"focusedExperimentId":"EXP-001","selectedExperiment":{"id":"EXP-001","lane":"Service","title":"Backend AI Production Audit","offerOrAsset":"7-day audit for AI/backend systems","primaryPlatform":"LinkedIn","firstAction":"Create one-page offer and prepare 20 approved founder DM drafts","successMetric":"2 replies or 1 call","priorityScore":28,"status":"active","notes":"Fastest cash path"},"drafts":{"owned":{"policy":"auto","title":"Backend AI Production Audit: 7-day audit for AI/backend systems","body":"# Backend AI Production Audit: 7-day audit for AI/backend systems\n\nI am building Flowbit as a set of focused operating systems for LifeOS, CareerOS, RevenueOS, and SocialsOS. Today's distribution focus is Backend AI Production Audit.\n\nThe offer or asset: 7-day audit for AI/backend systems.\n\nThe useful angle:\n\n- Who it helps: founders, operators, and technical teams dealing with backend ai production audit.\n- Why it matters: it turns vague engineering risk into a concrete next action.\n- First action: Create one-page offer and prepare 20 approved founder DM drafts.\n- Success metric: 2 replies or 1 call.\n- Rate: $50/hour.\n\nWhat I can help with:\n\n- AI/backend architecture reviews.\n- MVP architecture and implementation planning.\n- Node.js, TypeScript, Go, APIs, queues, workers, and data systems.\n- Docker, GitHub Actions, Jenkins, CI/CD, rollback, and deployment hardening.\n- Auth, RBAC, rate limits, observability, incident review, and production risk cleanup.\n\nContact routes:\n\n- Website: https://princeraj.one/\n- Book a call: https://cal.com/stockprints\n- GitHub: https://github.com/starkprince\n- LinkedIn: https://linkedin.com/in/starkprince\n- DEV: https://dev.to/starkprince\n\nIf this maps to a problem you are currently facing, the next step is a scoped conversation or a small diagnostic asset, not a vague long engagement.\n\nDo not name employers, clients, or private company projects in public social copy.\n\nOutbound rule: named-person messages are drafts only until Prince approves the target and final wording.\n\nExperiment: EXP-001\nTags: backend, ai, production, founders","target":"RevenueOS/SocialsOS owned surfaces"},"dev":{"policy":"official-api-review","title":"Backend AI Production Audit: 7-day audit for AI/backend systems","body":"# Backend AI Production Audit: 7-day audit for AI/backend systems\n\nI am building Flowbit as a set of focused operating systems for LifeOS, CareerOS, RevenueOS, and SocialsOS. Today's distribution focus is Backend AI Production Audit.\n\nThe offer or asset: 7-day audit for AI/backend systems.\n\nThe useful angle:\n\n- Who it helps: founders, operators, and technical teams dealing with backend ai production audit.\n- Why it matters: it turns vague engineering risk into a concrete next action.\n- First action: Create one-page offer and prepare 20 approved founder DM drafts.\n- Success metric: 2 replies or 1 call.\n- Rate: $50/hour.\n\nWhat I can help with:\n\n- AI/backend architecture reviews.\n- MVP architecture and implementation planning.\n- Node.js, TypeScript, Go, APIs, queues, workers, and data systems.\n- Docker, GitHub Actions, Jenkins, CI/CD, rollback, and deployment hardening.\n- Auth, RBAC, rate limits, observability, incident review, and production risk cleanup.\n\nContact routes:\n\n- Website: https://princeraj.one/\n- Book a call: https://cal.com/stockprints\n- GitHub: https://github.com/starkprince\n- LinkedIn: https://linkedin.com/in/starkprince\n- DEV: https://dev.to/starkprince\n\nIf this maps to a problem you are currently facing, the next step is a scoped conversation or a small diagnostic asset, not a vague long engagement.\n\nDo not name employers, clients, or private company projects in public social copy.\n\nOutbound rule: named-person messages are drafts only until Prince approves the target and final wording.\n\nExperiment: EXP-001\nTags: backend, ai, production, founders","tags":["backend","ai","production","founders"],"canonicalUrl":"https://revenue.flowbit.quest/operations"},"linkedin":{"policy":"manual-only","body":"Backend AI Production Audit: 7-day audit for AI/backend systems\n\nI am using this as today's Flowbit distribution focus because the practical pain is clear: Fastest cash path.\n\nFirst action: Create one-page offer and prepare 20 approved founder DM drafts\nMetric I will track: 2 replies or 1 call\n\nI can help founders and teams architect MVPs, harden backend systems, review AI workflows, and turn messy production risk into an execution plan. Current rate: $50/hour.\n\nIf this is close to a problem you are solving, book a scoped call: https://cal.com/stockprints\n\nhttps://princeraj.one/"},"founderOutreach":{"policy":"manual-approval-only","targetFit":"Founder, CTO, or operator with an AI/backend product moving from prototype to production.","body":"Hi {{first_name}}, I noticed {{specific_context}}.\n\nI am running a focused Backend AI Production Audit for founders shipping AI/backend systems. The useful output is a ranked production-risk map, a 7-day fix plan, and a 30-day cleanup path.\n\nThe areas I usually inspect are LLM workflow reliability, API/auth boundaries, queues/workers, data stores, deployment, rollback, observability, and cost-risk visibility.\n\nIf this maps to something you are dealing with, I can do a scoped call first:\nhttps://cal.com/stockprints\n\nPrince"},"github":{"policy":"official-api","title":"Social proof task 2026-05-05: EXP-001 Backend AI Production Audit","body":"Daily SocialsOS task for 2026-05-05.\n\nExperiment: EXP-001\nAsset: 7-day audit for AI/backend systems\nFirst action: Create one-page offer and prepare 20 approved founder DM drafts\nMetric: 2 replies or 1 call\n\nChecklist:\n- [ ] Update the relevant README or proof asset.\n- [ ] Link back to the canonical Flowbit operation.\n- [ ] Record observable metrics only."},"youtube":{"policy":"draft-only","title":"Backend AI Production Audit - production note","description":"Backend AI Production Audit: 7-day audit for AI/backend systems.\n\nTalking points:\n1. What breaks in production.\n2. What I would inspect first.\n3. How to convert the problem into a scoped audit, sprint, or MVP plan.\n\nIf this is close to a problem you are solving, book a scoped call: https://cal.com/stockprints"},"newsletter":{"policy":"official-api-review","subject":"Flowbit weekly note: Backend AI Production Audit","body":"Today's strongest signal is Backend AI Production Audit.\n\n# Backend AI Production Audit: 7-day audit for AI/backend systems\n\nI am building Flowbit as a set of focused operating systems for LifeOS, CareerOS, RevenueOS, and SocialsOS. Today's distribution focus is Backend AI Production Audit.\n\nThe offer or asset: 7-day audit for AI/backend systems.\n\nThe useful angle:\n\n- Who it helps: founders, operators, and technical teams dealing with backend ai production audit.\n- Why it matters: it turns vague engineering risk into a concrete next action.\n- First action: Create one-page offer and prepare 20 approved founder DM drafts.\n- Success metric: 2 replies or 1 call.\n- Rate: $50/hour.\n\nWhat I can help with:\n\n- AI/backend architecture reviews.\n- MVP architecture and implementation planning.\n- Node.js, TypeScript, Go, APIs, queues, workers, and data systems.\n- Docker, GitHub Actions, Jenkins, CI/CD, rollback, and deployment hardening.\n- Auth, RBAC, rate limits, observability, incident review, and production risk cleanup.\n\nContact routes:\n\n- Website: https://princeraj.one/\n- Book a call: https://cal.com/stockprints\n- GitHub: https://github.com/starkprince\n- LinkedIn: https://linkedin.com/in/starkprince\n- DEV: https://dev.to/starkprince\n\nIf this maps to a problem you are currently facing, the next step is a scoped conversation or a small diagnostic asset, not a vague long engagement.\n\nDo not name employers, clients, or private company projects in public social copy.\n\nOutbound rule: named-person messages are drafts only until Prince approves the target and final wording.\n\nExperiment: EXP-001\nTags: backend, ai, production, founders\n\nReply with the workflow or backend risk you want scoped."}},"humanApprovalPack":{"owner":"Prince Raj","experiment":"EXP-001","buyerRoute":"https://cal.com/stockprints","approvalQuestions":["Approve or edit today's LinkedIn post draft before it is copied into LinkedIn.","Approve each named founder/company before any outreach message is sent manually.","Confirm whether the claim uses only public experience, public projects, or approved personal positioning.","Confirm whether a booked call is qualified enough for paid audit discussion or should stay exploratory."],"manualTasks":["Open LinkedIn, review the prepared post, and publish manually only after edits.","Choose up to 20 founder targets from legitimate public context; do not scrape or bulk-message.","Personalize {{first_name}} and {{specific_context}} in the outreach template for each approved target.","Log replies, objections, bookings, and revenue in docs/revenue/launch-tracker.csv."],"leadQualification":["What product are you shipping and who uses it?","Where is the biggest AI/backend production risk right now?","What stack is involved: language, database, queues/workers, cloud, CI/CD, AI provider?","Is this pre-launch, newly launched, or already serving production users?","What would make a 7-day audit financially worth it for you?"],"escalationRules":["If a prospect asks for a meeting, route them to the booking URL and prepare a call brief.","If a prospect asks for pricing, state the current rate and propose a scoped audit before implementation.","If a prospect asks for private company proof, do not name employers, clients, or private incidents.","If a prospect wants implementation, first convert the audit output into a separate paid sprint scope."],"readyToUseDrafts":{"linkedin":"Backend AI Production Audit: 7-day audit for AI/backend systems\n\nI am using this as today's Flowbit distribution focus because the practical pain is clear: Fastest cash path.\n\nFirst action: Create one-page offer and prepare 20 approved founder DM drafts\nMetric I will track: 2 replies or 1 call\n\nI can help founders and teams architect MVPs, harden backend systems, review AI workflows, and turn messy production risk into an execution plan. Current rate: $50/hour.\n\nIf this is close to a problem you are solving, book a scoped call: https://cal.com/stockprints\n\nhttps://princeraj.one/","founderOutreach":"Hi {{first_name}}, I noticed {{specific_context}}.\n\nI am running a focused Backend AI Production Audit for founders shipping AI/backend systems. The useful output is a ranked production-risk map, a 7-day fix plan, and a 30-day cleanup path.\n\nThe areas I usually inspect are LLM workflow reliability, API/auth boundaries, queues/workers, data stores, deployment, rollback, observability, and cost-risk visibility.\n\nIf this maps to something you are dealing with, I can do a scoped call first:\nhttps://cal.com/stockprints\n\nPrince","bookingUrl":"https://cal.com/stockprints"}},"actions":[{"platform":"Owned","state":"prepared","reason":"Set SOCIALS_OWNED_WEBHOOK_URL to send this draft to an approved publishing workflow."},{"platform":"DEV","state":"prepared","reason":"Set DEV_API_KEY and SOCIALS_DEV_AUTOPUBLISH=true to create DEV articles."},{"platform":"GitHub","state":"prepared","reason":"Set SOCIALS_GITHUB_CREATE_ISSUE=true with GITHUB_TOKEN and SOCIALS_GITHUB_REPO to create issues."},{"platform":"LinkedIn","state":"manual-ready","reason":"LinkedIn posts, DMs, comments, likes, profile actions, and connection requests stay manual. The runner only prepares copy and approval context."},{"platform":"Newsletter","state":"prepared","reason":"Set SOCIALS_NEWSLETTER_WEBHOOK_URL to send this draft to an approved publishing workflow."},{"platform":"Social relay","state":"prepared","reason":"Set SOCIALS_SOCIAL_RELAY_WEBHOOK_URL to send this draft to an approved publishing workflow."}],"requiredCredentials":["DEV_API_KEY for DEV article creation","SOCIALS_DEV_AUTOPUBLISH=true to enable DEV creation","SOCIALS_DEV_PUBLISH_LIVE=true to publish live instead of draft","SOCIALS_GITHUB_CREATE_ISSUE=true plus GITHUB_TOKEN/SOCIALS_GITHUB_REPO for GitHub issues","SOCIALS_OWNED_WEBHOOK_URL for owned publishing workflows","SOCIALS_NEWSLETTER_WEBHOOK_URL for newsletter workflows","SOCIALS_SOCIAL_RELAY_WEBHOOK_URL for approved relay tools","SOCIALS_EXPERIMENT_ID to focus a specific experiment; defaults to EXP-001"]},"cronLogTail":[],"configured":{"experimentId":"EXP-001","rotateExperiments":false,"dryRun":false,"outputDir":"/app/data/socials"}}