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𝗪𝗿𝗶𝘁𝗲 𝘁𝗵𝗲 𝗪𝗼𝗿𝗱𝘀 𝗕𝗲𝗵𝗶𝗻𝗱 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗠𝗼𝘀𝘁 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗘𝘅𝗮𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀! The National Testing Agency (NTA) is strengthening its Communications & Outreach function to reach crores of candidates, parents, and stakeholders with clear, accurate, and human-voiced English. We are inviting applications for the position of 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗪𝗿𝗶𝘁𝗲𝗿 at our New Delhi Head Office. If you are a proven writer with a storytelling instinct, editorial discipline, and the ability to translate complex policy into plain, warm language — this is your chance to shape the voice behind JEE (Main), NEET (UG), CUET, UGC-NET and India's largest examinations. 𝗧𝗵𝗲 𝗞𝗲𝘆 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀: 𝗙𝘂𝗹𝗹-𝗦𝗽𝗲𝗰𝘁𝗿𝘂𝗺 𝗪𝗿𝗶𝘁𝗶𝗻𝗴: Craft press releases, candidate advisories, FAQs, social copy, video scripts, web content, newsletters and leadership notes — all in a consistent NTA voice. 𝗣𝗹𝗮𝗶𝗻-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻: Turn complex examination and policy information into plain, warm, accurate language that candidates and parents can actually understand. 𝗩𝗼𝗶𝗰𝗲 & 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗗𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲: Safeguard factual accuracy and sub-judice/compliance discipline while maintaining a consistent brand voice across all channels. 𝗖𝗿𝗼𝘀𝘀-𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: Work closely with design, video, and Hindi counterparts on integrated content, with rapid turnaround during exam cycles and crisis moments. 𝗠𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Support narratives, spokesperson talking points, and long-form leadership communication. 𝗪𝗵𝗼 𝗪𝗲 𝗔𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿: 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻: Degree in English, journalism, or mass communication — or equivalent. Writing samples required. 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Minimum 3 years in writing/editing across communications, journalism, PR, or content. 𝗦𝗸𝗶𝗹𝗹𝘀: Excellent English writing, editing and proofing; speed with accuracy; storytelling instinct; ability to coordinate with Hindi counterparts for bilingual consistency. 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲: Public-policy or government communications experience, working Hindi, familiarity with web/SEO writing. 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: New Delhi (NTA Headquarters) 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Contractual — initially 2 years, renewable 𝗥𝗲𝗺𝘂𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: As per industry standards; commensurate with experience 𝗟𝗮𝘀𝘁 𝗗𝗮𝘁𝗲 𝘁𝗼 𝗔𝗽𝗽𝗹𝘆: 𝟮𝟭 𝗔𝘂𝗴𝘂𝘀𝘁 𝟮𝟬𝟮𝟲 𝗔𝗽𝗽𝗹𝘆 𝘃𝗶𝗮 𝗲𝗺𝗮𝗶𝗹: dir-admin@nta.gov.in 𝗙𝘂𝗹𝗹 𝗱𝗲𝘁𝗮𝗶𝗹𝘀, 𝗲𝗹𝗶𝗴𝗶𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿𝗺𝗮𝘁 (𝗔𝗻𝗻𝗲𝘅𝘂𝗿𝗲-𝗜): #NTA# #NationalTestingAgency# #ContentWriter# #ContentWriting# #Copywriting# #Communications# #PublicPolicy# #Hiring# #JobsInDelhi# #CareersAtNTA# #WritingJobs# #EditorialJobs#

Introducing the Content Machine! This was the first time I walked through the mechanics of our anti-slop content system & how we drive 10,000,000+ impressions at @tenex_labs with a marketing team of...2. Thanks to @clairevo for having me on her show to share. Full-writeup & interview below... What is the Content Machine? A directory of daisy-chained skills that turn what you already say into publish-ready content. This is the key way to avoid turning into a slop cannon. It mines the places you already talk (Slack, Notion, Gmail, Linear, GitHub) plus what the internet is saying, finds the ideas worth writing, interviews you to extract the story, drafts it, and edits it to a 9/10 bar before you post. What are the principles of this system? 1) It is not a "write me a post" prompt. The core belief baked into it: the raw material must come from you. 2) The machine never invents your voice and never fabricates your insight. It does the research, the structure, and the editing, so your time goes only to the part only you can do. It focuses the human on the first & final mile of the content process. How is it structured? A two-layer split between the process & the person - The process layer is generic and shared: the pipeline, the content-type specs, the copywriting references, the onboarding flow. That is what lives in git and what gets shipped to other people. - The personal layer is yours and never leaves your machine: content-machine.config.md, creators// (profile, style guide, lessons), projects/, published/, oracle-reports/. All gitignored, and the desktop build script refuses to package any of it. What is the 10-step pipeline? 1) Creator Select. Multi-creator by design. It figures out who this run is for and loads their profile, style guide, and content lessons. Everything downstream is scoped to that person. - Onboarding (first run only). Scaffolds the workspace, auto-creates your Notion Vault, connects your sources, and builds your voice guide one of three ways: import a guide you already have, feed it writing samples, or sit for a short voice interview. 2) The Oracle. Two idea engines running in parallel: - Oracle scans what you wrote in the last 7 days across Slack, Notion, Gmail, Linear, and Git, hunting for "spikes," moments where you naturally said something worth expanding. - The Internet Reader scans what the world is saying, pulled only from the source list in your profile (handles, labs, outlets, keyword watchlist), plus a social sweep across Reddit, X, YouTube, Hacker News, and more (thanks /last30days & @mvanhorn). - Every idea is scored 0 to 10 (POV strength 25%, story potential 25%, emotional intensity 20%, lesson/framework 20%, depth 10%). Everything qualifying gets written to The Vault, a Notion database that is the durable idea bank. 2.5) Research. Before you get interviewed, a research agent builds a sourced brief: - key facts with links - current developments - what has already been said in-market - contrarian angles - open questions only you can answer. 3) Interview Panel. Six interviewer personas (Ferriss, Rogan, Larry King, Stern, Barbaro, Barbara Walters) ask you one question at a time, each chasing a different dimension: tactics, story, core truth, the hidden thing, clarity, emotional depth. It pushes back on vague answers and will not advance until it has 2 to 3 specific stories with real details. 4) Production. Your interview becomes a raw markdown file: stories, core insights, quotable moments, the emotional anchor, surprising reveals, the "so what." Your exact words are preserved. This file is the source of truth for everything that follows. 5) Refinement. Now it drafts, and only now. It must read your style guide, your content lessons, and the spec for the chosen format (LinkedIn post, X thread, long post, playbook, podcast promo, reaction post, article, and so on). 6) Writer's Council. Six reviewers score the draft: Morgan Housel (will this matter in 10 years), Tim Urban (is it confusing), Shaan Puri (would I stop scrolling, plus three alternate hooks), Greg Isenberg (what can someone steal), David Perell (is it personal, observational, playful), and a Slop Detector hunting AI tells. Each gives what's working, what needs work, a fix, and a score. 7) Revision Loop. Under 9/10 goes back around. The smart part: fixes get sorted into editorial (the machine rewrites it itself) and information gaps (only you have the answer), and information gaps route back to the Interview Panel with targeted questions rather than letting the machine make something up. Max 3 editorial cycles. At 9/10 the piece becomes the anchor. 8) Repurposing Engine. One anchor fans out into 10+ derivatives: X article, LinkedIn article, short X posts, short LinkedIn posts, a playbook if there is a framework in it. Each one is written native to its platform with a fresh hook, not cross-posted, and each runs the full council and revision loop to 9/10 on its own. This is the multiplier. 9) Distribution (optional, off by default). UTM tagging, a scheduled publishing queue, CRM capture of every touchpoint, attribution reporting back to pipeline, and marking the Vault row as Published. 10) The Learning Loop, always running. After you approve a piece it diffs your first draft against the final, extracts the pattern, and asks you to confirm it. Confirmed lessons go into content-lessons.md and override the style guide. Once a lesson proves out across a few projects it graduates into the style guide itself. Your first drafts get better over time instead of you re-explaining preferences. P.S. i'm thinking about opensourcing this. should i do it?