Jeff Bullas

Love the daily/weekly routine — that rhythm is what makes the system stick. Let’s add one insider layer: a tiny “tag dictionary” and a couple of AI prompts that normalize tags, avoid duplicates, and link research to decisions. This keeps the repo clean as it scales.

The idea (simple, powerful): your highlights flow into one place, AI enriches them, and a second AI step normalizes tags to a controlled list, checks for duplicates, and asks for a quick human confirm. Low friction, high trust.

• What you’ll need
  • Repo (Notion/Obsidian/Google Sheet).
  • Capture tool (web clipper or PDF highlighter that exports text).
  • AI assistant (your chat tool or built-in AI).
  • Optional automation (Zapier/Make) to connect capture → repo → AI.
  • A short tag dictionary (8–12 tags + allowed synonyms).

• Fields to add (keeps quality high)
  • Title, Date, Source, Excerpt.
  • Summary (2–3 sentences).
  • Tags (multi-select) + Primary Tag.
  • Why it matters (1 sentence).
  • Evidence Type (Report, User Interview, Article, Internal Data).
  • Confidence (1–5) and Quality Notes (1 line).
  • Decision Link (which decision this supports) and Question Answered.

Tag dictionary (quick template)

• Market Trends (aliases: trend, macro, industry shift)
• Customer Insight (aliases: user need, pain point, jobs to be done)
• Competitor (aliases: rival, alt, comparison)
• Product Idea (aliases: feature, concept, roadmap)
• Usability (aliases: UX, friction, onboarding)
• Pricing (aliases: price, packaging, discount)
• Regulation (aliases: compliance, policy, legal)
• Case Study (aliases: example, success, story)

Step-by-step (90-minute setup)

1. Create the fields above in your repo and load the tag dictionary + aliases.
2. Clip one real excerpt and add Title/Date/Source to prove the flow.
3. Run the enrichment prompt (below) to generate Summary, Tags, Primary, Why it matters, Evidence Type, Confidence.
4. Run the normalizer prompt (below) to map tags to your controlled list and catch duplicates.
5. Do a 30-second human check, then save. You’ve locked in consistency.

Copy-paste AI prompt: Enrichment (use after you paste a highlight)

Role: You are a research librarian. Using the controlled tag list and aliases provided, enrich this excerpt. Return answers in exactly this format:
• Summary: [2–3 sentences]
• Tags: [up to 3 from the controlled list]
• Primary Tag: [one from the controlled list]
• Why it matters: [one sentence tied to a product/market decision]
• Evidence Type: [Report | User Interview | Article | Internal Data]
• Confidence: [1–5, where 5 = strong evidence]
• Quality Notes: [<=12 words]
Controlled tags with aliases: [paste the tag dictionary list]
Excerpt: [paste excerpt]
Source: [URL or title] | Date: [YYYY-MM-DD]

Copy-paste AI prompt: Tag Normalizer + Duplicate Check

Role: You normalize metadata for a research repository. Given the proposed fields and the controlled tag list with aliases, do two things.
1) Normalize Tags: map any suggested tags to the canonical list only. If none fit, propose exactly one new tag and mark it as Proposed.
2) Duplicate Check: compare the new item against these recent items (titles+summaries below). If any are substantially similar (>70% overlap), return their IDs.
Return answers in this format:
• Canonical Tags: [list]
• Primary Tag: [one]
• Proposed New Tag: [name or “None”]
• Possible Duplicates: [IDs or “None”]
Controlled tags with aliases: [paste dictionary]
New item: Title=[..] Summary=[..]
Recent items: [ID=1 Title=.. Summary=..] [ID=2 …] [ID=3 …]

Copy-paste AI prompt: Question-to-Answer (for retrieval)

Role: Research synthesizer. Using the provided notes (top 5 matches by search), create a concise answer with citations. Return in this format:
• Answer: [3–6 sentences]
• Top Evidence: [Title — Primary Tag — Confidence/5]
• Why it matters: [1 sentence]
• Citations: [Source links or titles]
Question: [paste]
Notes: [paste up to 5 items: Title, Summary, Primary Tag, Confidence, Source]

Worked example (quick)

1. Excerpt: “Users downgrade within 14 days due to unclear value on mid-tier plan.”
2. Enrichment returns: Summary (2 sentences), Tags=[Pricing, Customer Insight], Primary=Pricing, Why it matters=“Run value messaging test on mid-tier.” Evidence Type=User Interview, Confidence=4.
3. Normalizer maps “value messaging” to Pricing, finds a similar note ID=27. You merge them and keep the freshest summary.
4. Later, you ask: “What’s driving mid-tier churn?” The retrieval prompt surfaces both notes with citations in 10 seconds.

Mistakes to avoid (and quick fixes)

• Tag drift (too many variants). Fix: use the normalizer prompt every time and prune monthly.
• Weak summaries. Fix: enforce 2–3 sentences max and one concrete recommendation.
• No citation. Fix: make Source + Date required fields before saving.
• Duplicates hiding insights. Fix: run the duplicate check on ingest and merge immediately.
• Automation overkill. Fix: automate two steps only—create item and enrich; keep the human confirm.

1-week action plan (do-first)

1. Day 1: Set up the fields and load the 8–12 tag dictionary with aliases.
2. Day 2: Capture 5 items (Title, Date, Source, Excerpt).
3. Day 3: Run the Enrichment prompt on all 5 items; save outputs.
4. Day 4: Run the Normalizer + Duplicate Check; merge any overlaps.
5. Day 5: Add Question Answered + Decision Link to each item.
6. Day 6: Automate two steps: capture → new item, new item → Enrichment. Keep the normalizer as a manual button for now.
7. Day 7: Test 5 real questions using the retrieval prompt; note time-to-answer and adjust tags.

What to expect

• Week 1: 10–15 clean, searchable items with consistent tags.
• Month 1: Faster answers, fewer re-reads, and clear links between evidence and decisions.

Tell me your repo (Notion, Obsidian, or Sheets) and your industry. I’ll tailor the tag dictionary, add 3 high-signal tags unique to your domain, and share a 2-step automation you can set up in under an hour.

Hook: Want a day-by-day trip plan you can actually use — curated fast, flexible, and tailored to your energy levels? AI helps you do that in minutes, not hours.

Why this works: AI can turn your travel preferences, pace, and must-sees into a structured itinerary. You get readable days, travel times, and activity suggestions — and you keep control.

What you’ll need

• Destination and travel dates
• Interests (museums, food, walking, beaches)
• Pace (relaxed, moderate, full days)
• Transport mode (walk, public transit, car)
• Access to an AI chat tool or app

Step-by-step: Build the itinerary

1. Gather basics: list your dates, arrival/departure times, accommodation location.
2. Decide your daily rhythm: morning activity, lunch, afternoon, evening.
3. Open the AI tool and give it clear instructions (see the copy-paste prompt below).
4. Ask for alternatives: request a relaxed and a full-day version for each day.
5. Refine: tell the AI to adjust walking distances, add transit times, or swap attractions.
6. Export and print or save as notes on your phone for offline use.

Copy-paste AI prompt (use as-is):

“Create a day-by-day itinerary for [City], from [start date] to [end date]. I like [interests]. My pace is [relaxed/moderate/full]. I’ll be staying near [neighborhood or landmark]. For each day, give: 1) a morning activity, 2) a lunch suggestion, 3) an afternoon activity, 4) an evening option, 5) estimated travel times between spots, and 6) one backup in case of bad weather. Keep walking under [X] minutes or note transport needed.”

Example (3-day snapshot)

1. Day 1: Morning — Old Town walking tour (30–45 min). Lunch — local bistro. Afternoon — museum visit (2 hrs). Evening — riverfront dinner.
2. Day 2: Morning — market visit & cooking class. Lunch — market tasting. Afternoon — scenic viewpoint (short hike). Evening — live music bar.
3. Day 3: Morning — short train to nearby village (40 min). Lunch — seafood. Afternoon — beach relax or bike ride. Evening — return and light stroll.

Common mistakes & quick fixes

• Too ambitious days — Fix: ask AI to cap activities to 2–3 per day with realistic travel times.
• Ignoring downtime — Fix: schedule coffee/rest slots and a flexible evening.
• No backup for weather — Fix: request indoor alternatives each day.

Action plan (next 20 minutes)

1. Write down your travel dates, hotel, and three interests.
2. Copy the provided AI prompt and paste into your AI tool, filling blanks.
3. Review output and tweak pace or swap items. Save a printable copy.

Bottom line: Start small—generate one day, test it, then expand. AI speeds planning, but your choices make it personal.

Ready to try a sample? Paste the prompt with your details and I’ll help refine it.

Cheers, Jeff

Hook: Want fast, reliable accessible color pairs for your UI without guessing? You can get usable options in minutes with a simple AI prompt and a quick check.

Context: Accessibility depends on contrast ratios (WCAG). Decide if you need AA (4.5:1 for normal text) or AAA (7:1). AI can generate and test hex variants so you move from guesswork to tested choices.

What you’ll need:

• Your base hex colors (e.g., #1a73e8).
• A chosen standard: WCAG AA or AAA.
• A staging area to preview (design file or a quick HTML test page).
• An AI assistant or color tool that can output hex values and contrast ratios.

Quick checklist — do / do not:

• Do store accessible pairs as CSS variables (e.g., –brand, –brand-contrast).
• Do check both text-on-background and background-with-text scenarios.
• Do test disabled, hover, focus, and icon states.
• Do not rely on color alone to convey meaning.
• Do not assume similar hues have the same contrast.

Step-by-step (how to do it):

1. List base hexes: primary, secondary, background, accents.
2. Decide standard: AA or AAA and whether text is “normal” or “large.”
3. Use the AI prompt below (copy-paste) to get 3 lighter and 3 darker hexes and contrast ratios.
4. Keep pairs that meet your target. Add them as CSS variables and preview real UI components.
5. Run a grayscale and simple color-blindness check; iterate if meaning is lost.

Copy-paste AI prompt (use as-is):

“Given base color hex #1a73e8, generate three lighter and three darker hex variants. For each variant, calculate the contrast ratio when used as text on #ffffff and when used as background with #000000 text. Indicate whether each pair meets WCAG AA (4.5:1) and AAA (7:1) for normal text. Return results in a clear list with hex values, contrast ratios, and pass/fail for AA and AAA.”

Worked example — quick run:

Base: #1a73e8. Example outcome you might get from the AI (verify these numbers with the tool):

• #1a73e8 — contrast on white ≈ 4.51:1 (just meets AA for normal text).
• Darker variants (examples): #155fcf, #104fb3, #0b3a7f.
• Lighter variants (examples): #4ea9ff, #78cfff, #bfe6ff.
• Use the AI output to pick 2–3 pairs that meet AA/AAA, add as CSS variables, and test in your UI.

Note: the hexes above are illustrative. Always re-run the prompt and accept the AI’s reported contrast ratios before committing.

Common mistakes & fixes:

• Mistake: trusting only one color pair across the whole UI. Fix: create context-specific pairs (buttons, headers, body text).
• Mistake: relying on weight or size without testing contrast. Fix: if contrast is marginal, combine bigger size/weight + alternate color.
• Mistake: ignoring icons and disabled states. Fix: check contrast for all states and consider patterns or markers for disabled items.

Action plan — 10 minutes to results:

1. Pick one base hex (e.g., #1a73e8).
2. Run the provided AI prompt to get variants and ratios.
3. Add the top 2 pairs as CSS variables and test on a staging page.
4. Run a quick grayscale & color-blindness check.
5. Document which pair meets AA/AAA and assign it to components.

Reminder: Accessibility is pragmatic — pick the smallest change that delivers clear reading. Use AI to speed iteration, but always verify the contrast numbers and test in the real UI.

Quick win: you’ve nailed the structure — now use a sharp, copy-paste prompt and a short refinement loop to turn stats into a one-line decision and a single next step.

Why this matters

Busy people don’t want formulas — they want a clear takeaway, how sure to be, and one practical action. The right prompt gives you that in seconds and keeps uncertainty visible.

What you’ll need (5 minutes)

• Test type (e.g., two-sample t-test, chi-square).
• Key numbers: effect size or difference, p-value, 95% confidence interval, sample size.
• One-line audience (e.g., CFO, operations manager, clients) and your goal (decision, explanation, or next step).
• Optional constraint: length or tone (e.g., “3 bullets” or “one-sentence summary”).

Step-by-step: how to do it

1. Copy the robust prompt below and paste it into your AI tool.
2. Replace the example numbers and audience with your own.
3. Read the reply. Expect: a one-sentence takeaway, a confidence note, and one recommended next step.
4. Refine with a short follow-up like: “Make that 3 bullets, no jargon, for a busy director.”

Robust copy-paste prompt (use this)

“Explain these statistical results in plain language for a non-technical audience: test = two-sample t-test; mean group A = 5.2, mean group B = 2.9; difference = 2.3; p = 0.03; 95% CI = (0.2, 4.4); n = 50. Give: 1) one-sentence takeaway for decision-makers, 2) one short sentence about how confident we should be (mention p-value and CI in plain terms), and 3) one practical next step (low-cost). Keep it under 3 short bullets and avoid technical jargon.”

Variants to try (copy-paste and swap numbers)

• Manager-friendly: “Make that one-line takeaway show the budget or policy implication in plain English.”
• Risk-aware: “Also include one sentence on the main limitation and what to monitor next.”
• Email-ready: “Rewrite as a 2-line email summary plus one suggested subject line.”

Example output you should expect

Plain language: “Group A’s average is 2.3 points higher than Group B’s. The p-value of 0.03 means this difference is unlikely to be due to chance, and the 95% CI (0.2 to 4.4) suggests the true effect is small to moderate. Recommendation: pilot the Group A approach in one region and track outcomes over the next quarter.”

Common mistakes & fixes

• Mistake: Vague prompt. Fix: Include exact numbers and audience.
• Mistake: Asking for too much detail. Fix: Ask explicitly for a one-sentence takeaway and one action.
• Mistake: Ignoring limitations. Fix: Add “one sentence about limitations or what to watch” to the prompt.

Short action plan (do this now)

1. Collect your numbers and audience (5 minutes).
2. Use the robust prompt above and read the result (2–3 minutes).
3. Refine with a single follow-up: “Shorten to 3 bullets, no jargon” (1 minute).

Reminder: Aim for useful decisions, not perfect statistics. Use the AI to translate numbers into clear actions and always note the uncertainty you’d want a manager to know.

Nice point — setting a minimum pay and max time is the single best guardrail against wasting hours for pennies. That simple rule will protect your time and make decisions faster.

Here’s a practical layer on top: use AI to do the heavy lifting — find platforms, flag red flags, draft pitches and track outcomes — so you can test fast and keep the good gigs.

What you’ll need

• Device, reliable internet, email and one verified payment method (PayPal or bank).
• One short bio (2–3 lines) and 1–2 examples of relevant skills or past small jobs.
• 30–90 minute blocks to apply and test — especially in the first week.

Step‑by‑step (do this today)

1. Set your filters: minimum effective hourly rate (e.g., $10/hr), max time per task (e.g., 45 minutes), acceptable skills.
2. Run the AI shortlist prompt (copy‑paste below) to get 6–8 platforms that match your filters.
3. Use the vetting prompt (below) to check each platform for payment proof, red flags and typical payout methods.
4. Create two quick pitch templates: one for tiny tasks, one for longer jobs. Offer a small paid sample or 24‑hr trial.
5. Apply to 8–12 gigs over 3 days. Accept up to 2 paid trials. Record time and payment for each task.
6. After 10–14 days, calculate effective hourly pay per source and drop anything under your minimum.

Copy‑paste AI prompts (use with GPT or similar)

• Shortlist prompt: “Find 8 legitimate websites or marketplaces that offer microjobs and paid surveys for someone with basic digital skills (data entry, short writing, transcription, surveys). For each platform give: one‑line description, typical job types, payment methods, 3 red flags to watch for, and one tip to improve acceptance. Prioritize platforms with clear payout records and no upfront fees.”
• Vet prompt (use per platform): “For [Platform Name], list recent user complaints or payout issues to watch for, typical payout timing, how to confirm payment evidence, and three questions I should ask before accepting a job on this platform.”
• Pitch template prompt: “Write a 30‑word pitch for a microjob (data entry/transcription/survey) that offers a 15‑minute paid sample and states my availability and delivery time.”

Example (quick win)

Maria, 52, chose $12/hr and 45 minutes max. AI shortlisted 6 platforms. She vetted 3, applied to 10 tasks and accepted 2 paid trials. Platform X paid reliably and averaged $14/hr — she doubled time there and dropped the rest by week 3.

Common mistakes & fixes

• Mistake: Paying to join. Fix: Walk away — legitimate sites don’t charge entry fees.
• Mistake: Accepting vague deliverables. Fix: Ask for deliverable, deadline and payment method in writing before starting.
• Mistake: No tracking. Fix: Use a simple two‑column sheet: source | effective hourly pay.

7‑day action plan

1. Day 1: Run shortlist prompt and vet top 3 platforms.
2. Day 2: Create bio and two pitch templates.
3. Days 3–5: Apply to 8–12 gigs; accept up to 2 paid trials.
4. Days 6–7: Review results, calculate effective hourly pay, drop low performers and scale the winner.

Quick reminder: Start small, measure everything, and let AI filter options so you spend time earning, not chasing scams. If you want, paste one listing and I’ll help vet it.

Good question — wanting legitimate microjobs and paid surveys is a practical, smart goal. AI can speed up discovery, vetting and outreach so you spend time working, not chasing scams.

Quick promise: I’ll show you what you’ll need, a step‑by‑step routine, a copy‑paste AI prompt, and common mistakes with quick fixes so you can get started this week.

What you’ll need

• Basic tools: laptop or phone, reliable internet, email, and a verified payment method (PayPal, bank, or similar).
• Profiles: one clean, short bio and 2–3 examples of work or a 1‑minute description of skills.
• Time: blocks of 30–90 minutes to test gigs, especially the first week.

Step‑by‑step routine (fast, repeatable)

1. Define your filters: hourly or per task pay minimum, max time per task, skills you’ll accept (e.g., data entry, short writing, transcription).
2. Use AI to generate a vetted list of platforms and microjobs that match your filters (see prompt below).
3. Vet each opportunity manually: check payment method, look for reviews, find independent mentions or complaints.
4. Apply with a short template pitch and offer a small sample or a fast turnaround to win trust.
5. Track results for 2 weeks: acceptance rate, time spent, true pay. Drop low performers.

Copy‑paste AI prompt (use this with GPT or similar)

“Find 8 legitimate websites or marketplaces that offer microjobs and paid surveys suitable for someone with basic digital skills (data entry, short writing, transcription, surveys). For each platform list: a one‑line description, typical job types, how payments are made, 3 red flags to watch for, and one quick tip to improve acceptance. Prioritise platforms with clear payment records and no upfront fees.”

Example of what to expect

• AI returns 6–8 platforms. You shortlist 3. You apply to 5–10 jobs and get 1–3 trials in the first week.
• After 2 weeks you’ll know which platforms give reliable pay and which don’t — then scale time on the good ones.

Common mistakes & fixes

• Mistake: Paying to join. Fix: Walk away — real microjob sites don’t require upfront fees.
• Mistake: Accepting vague tasks. Fix: Ask: “What is the deliverable and how will I be paid?” in writing.
• Mistake: No sample work. Fix: Offer a small paid sample or time-limited trial for mutual assurance.

7‑day action plan (doable)

1. Day 1: Run the AI prompt and get platforms.
2. Day 2: Create one short profile and two template pitches.
3. Days 3–5: Apply to 8–12 jobs, accept 1–2 small gigs.
4. Days 6–7: Review results and double down on the best source.

Final reminder

Start small, measure everything, and use AI to remove guesswork. You’ll find reputable microjobs by testing quickly and protecting yourself from the common red flags. If you want, paste one or two job listings you’re considering and I’ll help vet them.

Let’s lock one goal, then build a “Core + Clips” calendar you can repeat every month in under an hour. If you’re unsure, pick email signups first — it compounds fastest.

Choose your single monthly goal

• Email signups — best if your list is under 1,000 or you’re relaunching.
• Leads (booked calls or inquiries) — best if you have a clear offer and a booking link.
• Engagement — best for a new audience or when testing new topics.

Insider method: Core + Clips + CTA Ladder

• Core: one flagship piece per week (short article or 2–3 min video).
• Clips: 3 small derivatives (captions, quotes, 30–45s video, image tips).
• CTA Ladder: same CTA all week. Week 1–3 = value + soft CTA. Week 4 = proof + stronger CTA.

What you’ll need

• One-sentence goal, one main pillar (plus up to two support pillars).
• An AI chat tool, a simple calendar or spreadsheet.
• Two short creation blocks (2–3 hours each) this month.
• One KPI: signups, leads, or meaningful comments.

Step-by-step (monthly loop)

1. Decide goal + pillar (5 minutes). Example: “Help over-40 small business owners improve email marketing; goal: 60 new signups.”
2. Voice sample (3 minutes). Paste 150–200 words you’ve written into your AI and say: “Use this tone for all outputs.” This is the fastest way to sound like you.
3. Prompt for a 4-week plan (10–12 minutes). Use the master prompt below. Ask for 4 weekly themes, each with 1 Core + 3 Clips and a single weekly CTA.
4. Turn picks into outlines (15–20 minutes). For the 4 Cores, ask AI for: a 5-point outline, title, hook, and a 45-second video version. For each Clip, ask for two caption variants.
5. Schedule (10 minutes). Assign one Core every Monday; publish Clips Wed/Fri/Sun. Keep the same CTA all week.
6. Batch create (two sessions). Session 1: write two Cores; Session 2: record 3–4 short videos and prepare images. Repurpose as you go.
7. Measure weekly (5 minutes). Log signups/leads/comments from each week’s CTA. Double down on the top-performing theme next month.

Copy‑paste AI prompts (pick your goal)

• Master prompt (works for any goal)Act as my practical content strategist. Audience: [who they are]. Monthly goal: [email signups OR leads OR engagement]. Primary pillar: [topic]. Tone: friendly, simple, over-40 professional. Create a 4-week content calendar using the Core + Clips method. For each week provide: (a) a weekly theme tied to the pillar, (b) one Core piece (title, 5-bullet outline, 45s video talking points), (c) three Clips (each with a hook, 2-sentence caption, and image or B-roll suggestion), (d) one single CTA used for all items that week. Output as a bullet list per week with fields: Week #, Theme, Core Title, Core Outline (5 bullets), Core Video Points (45s), Clip 1/2/3 Caption, CTA, KPI to track.

• Variant: Email signupsSame as the master prompt, but make each CTA drive to a free lead magnet and include one sentence to tease the lead magnet’s benefit and who it helps. Add one weekly P.S. line for an email version.
• Variant: LeadsSame as the master prompt, but CTAs drive to a 15-minute discovery call. Include one proof element per week (mini case, testimonial angle, or before/after).
• Variant: EngagementSame as the master prompt, but each Clip must end with a specific conversation prompt (one question that invites a comment). Include a suggested poll for one post per week.

Example calendar (Email signups, pillar: Email Marketing)

• Week 1 — Write subject lines that get openedCore: “The 7-word subject line formula” (outline + 45s video).Clips: swipeable tip list, 30s subject line teardown, caption with 3 examples.CTA: “Get 33 proven subject lines (free PDF).”
• Week 2 — Simple nurture sequenceCore: “A 3-email welcome that warms up leads.”Clips: checklist image, quick script for Email #1, caption: common mistake + fix.CTA: “Download the 3-email welcome template.”
• Week 3 — List growth without adsCore: “Five lead magnet ideas under 60 minutes.”Clips: demo of one idea, caption with hook ideas, short story of a quick win.CTA: “Grab the 60‑minute lead magnet guide.”
• Week 4 — Proof + optimizationCore: “Open rates from 18% to 36% in 14 days (mini case).”Clips: before/after chart, testimonial quote graphic, 30s ‘how I’d fix this’ audit.CTA: “Join the list to get the full teardown + templates.”

High‑value refinements

• Two‑pass prompting: Pass 1 for ideas, Pass 2 for sharpening hooks, CTAs, and trimming fluff. Ask the AI to score each hook 1–10 for curiosity and clarity; keep 8–10 only.
• Hook library: Have AI produce 20 hooks from your best-performing post; reuse and rotate across Clips.
• Constraint your scope: 4 Cores + 12 Clips per month is plenty. If you publish more, you’re likely diluting attention.

Common mistakes & quick fixes

• Mistake: New CTA every post. Fix: One weekly CTA tied to the theme.
• Mistake: Overwriting AI drafts. Fix: Keep your edits to hooks, examples, and tone; leave structure as-is.
• Mistake: No proof. Fix: Add one short story, stat, or screenshot per week.
• Mistake: Planning forever. Fix: Timebox to 45–60 minutes. Publish something the same day.

7‑day action plan

1. Day 1: Pick your single goal and main pillar. Paste your 150–200 word voice sample into your AI.
2. Day 2: Run the master prompt. Select 4 weekly themes.
3. Day 3: Generate Core outlines and 45s video talking points.
4. Day 4: Create 3 Clips for Week 1. Schedule Monday/Wednesday/Friday.
5. Day 5: Batch two Cores. Save as blog + short video versions.
6. Day 6: Create Week 2–3 Clips. Prepare images or B‑roll notes.
7. Day 7: Publish Week 1 Core and one Clip. Track your KPI in a simple sheet.

Closing nudge

Reply with your chosen goal, pillar, and a 150–200 word writing sample. I’ll tailor a one‑page calendar with hooks, CTAs, and recording notes you can use immediately.