Tag: Claude

  • Marketing & Lead Gen: How To Create 1 Week of Content in 1 Hour (Full Process)

    Watch on YouTube: https://www.youtube.com/watch?v=lfn4NKz1KEo

    Channel: Eden

    Overview

    The video from Eden demonstrates a workflow that aims to produce a full week’s worth of social‑media content in roughly one hour by leveraging the Eden.so platform together with AI models such as Claude and ChatGPT. The process focuses on gathering inspiration, reverse‑engineering high‑performing posts, extracting brand context, and then using a repeatable prompt sequence to draft content quickly while keeping human review for authenticity.

    What the Video Covers

    Eden walks through a complete system that starts with organizing inspirational material in research folders and boards, builds a curated list of mentor creators, hunts for outlier posts using Eden’s Breakouts tab, deconstructs those posts into a structured breakdown, runs an AI‑driven brand‑context interview, creates a weekly content‑planning table, and finally executes an 11‑step content‑generation workflow that can be saved as a reusable Skill for agency delegation.

    Step‑by‑Step Walkthrough

    • Install Eden.so, add the Chrome extension, and download the mobile app from eden.so/downloads.
    • Create a Research folder and set up topic boards (e.g., Productivity, Creator Economy) to store saved inspiration.
    • Use Eden AI chat to generate a list of 5‑10 niche‑specific mentor creators and add them to an Inspiration list.
    • Spend 10‑15 minutes each day browsing the Breakouts tab, saving outlier posts and attaching a note that explains why each post stands out.
    • Run the reverse‑engineer prompt in Claude or via Eden MCP to turn each saved post into a Breakdown table capturing format, hook, outlier score, and other relevant elements.
    • Conduct an AI‑driven brand‑context interview using the four core questions (origin, shift, obsession, early map) and store the resulting Brand Context document on your Brand Strategy board.
    • Build a weekly content‑plan table with columns for day, format, pattern, hook, and two checkboxes labeled “Will it spread?” and “Will it sell?” Fill in each row with a content idea derived from the breakdowns and brand context.
    • Follow the 11‑step Weekly Content Prompts workflow to draft the actual copy, then convert the entire sequence into a reusable Skill that can be shared with teammates or clients.
    • Review all drafted content for tone, accuracy, and alignment with brand goals before scheduling or publishing.

    Tools and Numbers Mentioned

    • Eden.so (core platform)
    • Eden.so/downloads (for Chrome extension and mobile app)
    • Claude (AI model used for reverse‑engineering)
    • ChatGPT (referenced as an alternative AI resource)
    • Eden Model Context Protocol / MCP (enables AI interaction with Eden data)
    • 1 script previously required ~4 hours of manual work
    • 20 scripts can now be produced in ~4 hours using the described workflow
    • Claimed 20× efficiency improvement
    • Example outlier score cited as 31× (illustrating high‑performing content)
    • Additional numeric values shown in the video: 471.1, 23.9, 197.3, 20.4, 15.2, 8.7, 6.7, 2.1 (these appear as metrics within Eden’s analytics)
    • Recommendation to track 5‑10 creator mentors

    Key Quotes

    The biggest problem that always comes up, every single time, is “I don’t know what to post.”

    One script used to take 4 hours, and now 20 scripts take 4 hours.

    If you just let AI write all the scripts, no matter how good AI gets, the writing can be impeccable, but it doesn’t fit the other things that make content do well.

    You’re borrowing the shape, not the substance.

    Embrace the chaos so you don’t have to get stuck just organizing things like crazy.

    Caveats and Hype Check

    The 20× efficiency gain presented in the video is based on the creator’s personal benchmark and has not been independently verified. Eden is positioned as an all‑in‑one solution, but the video does not disclose pricing details or any affiliate relationships that might influence the recommendation. As with any AI‑assisted process, human oversight remains essential to ensure brand voice, factual accuracy, and conversion‑focused messaging.

    Concrete Next Actions

    • Install Eden.so, add the Chrome extension, and download the mobile app from eden.so/downloads.
    • Create a Research folder and establish topic boards that match your content pillars.
    • Run Eden AI chat to generate a mentor list of 5‑10 creators in your niche and save it to an Inspiration list.
    • Allocate 10‑15 minutes each day to scan the Breakouts tab, save outlier posts, and annotate why each caught your attention.
    • Apply the reverse‑engineer prompt in Claude or via Eden MCP to produce a Breakdown table for every saved post.
    • Facilitate the AI brand‑context interview (origin, shift, obsession, early map) and store the output in your Brand Strategy board.
    • Construct a weekly content‑plan table with day, format, pattern, hook, and the “Will it spread?” / “Will it sell?” checkboxes, populating it with ideas derived from your breakdowns.
    • Execute the 11‑step Weekly Content Prompts workflow to draft the copy, then save the entire sequence as a reusable Skill for future use or agency delegation.
    • Perform a final human review of all drafted content for tone, accuracy, and alignment with business objectives before scheduling or publishing.
  • The Drop Drive: How I create viral animated reels using HyperFrames + Claude Code

    Channel: Science Based AI

    Introduction

    The Science Based AI channel presents a practical workflow for creating short‑form animated reels by combining HyperFrames (a free animation tool) with Claude Code (the coding‑assistant interface for Claude). The presenter, Ben from Stack Health, shares how his team generated over 200 k short‑form views in 30 days using this approach, and outlines three concrete use cases: animated charts, text‑plus‑visual explainers, and liquid‑glass title effects. The video also offers six quality‑focused tips and a brief hype check.

    What the video covers

    • Claimed results: Stack Health achieved >200 000 short‑form views in the last 30 days using HyperFrames; Ben is the head of content and previously worked on growth at a YC‑backed startup.
    • Use case 1 – animated charts: starting from a Pinterest reference board, using Claude to extract or generate data, then feeding that data into Claude Code/HyperFrames to produce a ~7‑second 9:16 bar chart with safe‑zone edits.
    • Use case 2 – text + visual explainers: providing a full script to Claude, asking where animations should appear, then requesting standalone prompts so multiple Claude Code chats can render individual clips in parallel (rather than generating the whole video at once).
    • Use case 3 – liquid‑glass titles: pointing Claude at Apple’s liquid‑glass design documentation, optionally adding green‑screen bubble overlays or PNG logos.
    • Six production tips: use reference images; limit each AI‑generated shot to 4–10 seconds; specify camera motion (push, pan, static, fade); iterate one variable at a time; leave music, captions, and timing cuts to a human editor; borrow visual languages from sources such as Vox, Apple, luxury, tech, or documentary styles.
    • Additional applications: launch videos, product demos from screen recordings, explainers, and social‑ad overlays.
    • Sponsorship note: the video is sponsored by Typeless, which offers a $5 discount on its paid plan.

    Step‑by‑step walkthrough

    Animated charts

    1. Create a Pinterest board with chart styles you like (e.g., Vox‑style bar charts).
    2. Ask Claude to interpret the board and output the data series you need (labels, values, colors).
    3. Pass that data to Claude Code together with a HyperFrames prompt that specifies a 7‑second, 9:16 aspect ratio chart.
    4. Run the prompt; HyperFrames generates the animation. Review the output and apply a safe‑zone pass (ensuring key elements stay within the central 90 % of the frame).
    5. If needed, tweak one variable (e.g., bar color or speed) and re‑run, keeping everything else constant.

    Text + visual explainers

    1. Write a complete voice‑over script for the explainer.
    2. Feed the script to Claude and request: “Identify moments where a visual animation would reinforce the narrative.”
    3. For each identified moment, ask Claude to produce a standalone prompt that describes the animation (duration, camera motion, visual elements).
    4. Open separate Claude Code chats (or tabs) and run each prompt in parallel to generate 4–10‑second clips.
    5. Collect the clips and hand them to a human editor for sequencing, music, captions, and final timing cuts.

    Liquid‑glass titles

    1. Locate Apple’s liquid‑glass design guidelines (publicly available design notes).
    2. Prompt Claude with those guidelines and ask for a HyperFrames prompt that recreates the liquid‑glass look for a title card.
    3. Optionally, add a green‑screen bubble overlay or import a PNG logo to composite later.
    4. Generate the title clip, review for fidelity to the liquid‑glass aesthetic, and iterate on one parameter (e.g., refraction intensity or background blur) at a time.

    Tools & numbers

    • HyperFrames – free animation tool used for all three use cases.
    • Claude / Claude Code – the AI assistant; Claude Code subscription starts at ~$20 / month.
    • Codex – mentioned as an alternative plan around $8 / month.
    • Pinterest – source for reference boards.
    • Typeless – sponsor offering $5 off a paid plan.
    • Demo chart specifications: ~7 seconds length, 9:16 vertical aspect ratio.
    • Claimed performance: Stack Health >200 000 short‑form views in the preceding 30 days.

    Caveats / hype check

    “View count is company claim without public breakdown. Typeless sponsorship. Emphasizes many online HyperFrames demos aren’t mostly HyperFrames—his demos look stronger, still curated.”

    The presenter notes that the view‑count figure is an internal claim and lacks independent verification. The video is sponsored by Typeless, which may influence the tone toward the promoted discount. While the workflow produces polished results, the creator acknowledges that many publicly shared HyperFrames examples rely heavily on post‑production editing; his own demos appear stronger but still involve curation and human oversight.

    Concrete next actions

    • Drop Drive pilot: Select one data‑driven or explainer reel idea. Gather a Pinterest reference board, use Claude to extract or generate the needed data, then run a Claude Code/HyperFrames pass to create a safe‑zone‑checked 7‑second 9:16 clip.
    • Jev / Claude Code style pack: Develop a reusable prompt template (e.g., a “noir” or brand‑specific style) that includes camera motion descriptors, lighting notes, and duration limits. Store this template for parallel clip generation across future projects.
    • Iterative testing: For each generated clip, change only one variable (color, speed, blur) at a time, compare outputs, and keep the version that best matches the reference visual language.
    • Human‑editor hand‑off: After collecting AI‑generated shots, bring them into a traditional editing timeline to add music, captions, and final timing cuts, ensuring the final reel meets platform‑specific requirements.