Jeff Bullas

This is the most important step in monetising your expertise.

Short Answer: The best structure uses a ‘freemium’ model, where your free channel acts as a funnel, and your paid channel offers exclusive, high-value content formats that save your members time or make them money.

The price you can charge is directly proportional to the perceived value and exclusivity of the content formats you provide.

Let’s break this down by the content formats you’ll need. Firstly, your free channel’s purpose is to build trust and demonstrate your authority. This is where you should post your high-quality, general content, such as broad market analysis in text-based posts and interesting, but non-actionable, image-based charts. Secondly, your paid channel must offer a clear and significant upgrade. This is where you deliver your premium, actionable text-based analysis; this is not just news, but your specific, detailed opinion on what that news means. Thirdly, you must offer formats that feel more personal and high-value. This includes a weekly members-only audio podcast wrapping up the market, or an exclusive deep-dive video tutorial on a specific analysis technique. If you decide on a tiered structure, you must use your formats to create a clear separation of value. For example, a ‘Silver’ tier might get all the exclusive text and image posts, while the ‘Gold’ tier also gets the weekly video analysis and access to a monthly live audio Q&A session with you.

Cheers,

Jeff

This is a vital step for scaling your channel properly.

Short Answer: The best automation bots are those that give you complete control over your content formats, allowing you to schedule your text, images, and videos in advance and filter unwanted content formats from your group.

Let’s look at how these automation tools handle your different content formats to free up your time.

Firstly, a scheduling bot is essential for managing your core content formats. This allows you to prepare a week’s worth of content, such as your text-based posts, your image galleries, and even your video files, and have the bot publish them automatically at peak engagement times. Secondly, for auto-posting, you need a bot that can properly parse an RSS feed. This bot’s job is to translate new content from your blog into a clean, well-formatted text message inside your channel, usually a title and a short snippet with a link, automating your external text-based content delivery. Thirdly, for your discussion group, a moderation bot is crucial for managing the content formats your members post. You can configure it to automatically delete specific types of content, such as text messages containing links, unsolicited image posts, or video files, which is how you stop most spam before it starts.

Cheers,

Jeff

Quick hook: You can use AI to uncover useful, ethical insights from user data — but start small, protect privacy, and make humans the gatekeepers.

Why this matters: Insights drive better products and happier users. Done ethically, AI speeds discovery without exposing people or creating hidden bias.

What you’ll need

• Clear objective (what question are you answering?)
• Minimal dataset — only the fields required
• Proof of consent or legal basis for processing
• Tools: secure storage, basic analytics (spreadsheet, Python/R), and an AI model or service
• Human reviewer(s) for interpretation and bias checks

Step-by-step process

1. Define outcome: Write one sentence goal (e.g., reduce churn among trial users).
2. Minimize data: Drop names, emails, IPs. Keep only fields needed (e.g., cohort, sessions, actions).
3. Anonymize/pseudonymize: Replace IDs with random tokens and remove direct identifiers.
4. Aggregate: Group by cohorts/time windows to avoid single-user signals.
5. Run AI analysis: Ask the model for patterns, correlations, and hypotheses — include guardrails not to infer demographics or re-identify.
6. Human review: Validate findings, check for bias, and design experiments to test insights.
7. Document & limit access: Log queries, store outputs securely, set retention policies.

Practical example

Objective: find why trial users don’t convert. Data used: anonymized user_token, cohort_week, sessions_per_week, time_on_site_min, feature_x_used (yes/no), converted (yes/no). AI highlights that low feature_x usage in week 1 correlates with no conversion. Action: add guided prompt to feature_x in onboarding and run A/B test.

Common mistakes & fixes

• Using raw PII — Fix: anonymize before any AI call.
• Blind trust in the model — Fix: require human validation and experiments.
• Missing consent — Fix: pause, obtain legal clearance, or use synthetic data.

7-day action plan (quick wins)

1. Day 1: Define question and required fields.
2. Day 2: Build anonymized sample dataset.
3. Day 3: Run initial AI query (see prompt below).
4. Day 4: Review findings with product lead.
5. Day 5: Design a small A/B test.
6. Day 6: Implement test and monitoring.
7. Day 7: Review results and iterate.

AI prompt (copy-paste):

Analyze this anonymized dataset and provide up to 5 clear insights about user behavior. Columns: user_token, cohort_week, sessions_per_week, time_on_site_min, feature_x_used (yes/no), converted (yes/no). For each insight include: what was observed, confidence level, practical recommendation (one-sentence), and one A/B test idea. Do NOT attempt to re-identify users or infer demographics.

Final reminder: Ethics isn’t paperwork — it’s practice. Minimize data, keep humans in the loop, and validate with experiments before product changes.

Hook: Turn your newsletter pile from guilt into a steady stream of useful decisions — in an afternoon and a few minutes each day.

Quick context

Use one capture point, three simple tags, and an AI that summarizes and pulls out actions. The goal: triage fast, act on what matters, keep the rest retrievable.

What you’ll need

• An inbox rule or reader app that funnels all newsletters to one folder/feed.
• Three tags/folders: Now, Maybe, Archive.
• An AI summarizer (built-in assistant, Zapier+AI, or copy-paste to a chat tool).
• A daily 2-minute triage slot and a 10-minute focused reading block; 20–30 minutes weekly.

Step-by-step setup (do this in an afternoon)

1. Capture: Create a rule so every newsletter lands in one folder — your single source of truth.
2. Auto-tag: Add simple filters to pre-tag likely Now items (trusted senders, topic keywords).
3. AI summary: Configure your AI to return a one-line takeaway, a relevance score (1–5), up to two concrete actions, and estimated read time.
4. Daily triage (2 minutes): Scan AI one-liners. Move items with actions or relevance ≥4 to Now. Everything else → Maybe or Archive.
5. Workblock (10 minutes): Open Now items and do the one-line action or schedule it. Archive when done.
6. Weekly tidy: Review Maybe, promote 5–10% to Now, archive the rest, adjust filters.

Example (how the AI output should look)

Newsletter excerpt: “New study shows remote teams increase output with asynchronous check-ins.”

AI output (expected): 1) One-line takeaway: Remote teams benefit from clear async check-ins. 2) Relevance: 4/5. 3) Actions: “Schedule a 15-minute async update template”; “Try one week of async check-ins”. 4) Read time: 3 minutes.

Common mistakes & fixes

• Over-tagging: Too many Now items? Raise relevance threshold to ≥4 or require an action to qualify.
• Trusting AI blindly: Use summaries for triage only — read full pieces when the action matters.
• Privacy risk: Don’t route sensitive internal newsletters through public third-party tools; use local or enterprise options.

Robust copy-paste AI prompt (use as-is)

Read the newsletter below. Provide: 1) One-sentence takeaway (clear and specific). 2) Relevance score 1–5 for my goals (business strategy, productivity). 3) Up to two concrete actions I should take (each 6–10 words). 4) Estimated read time. Keep answers short and label each part.

Variants

• Quick-scan: “One-line takeaway + relevance score only.”
• Action-mode: “List 1–3 actions, assign priority 1–3, suggest deadline.”
• Deep-read rec: “Explain why this matters in three bullets and next reads.”

One-week action plan

1. Day 1: Create the capture folder and three tags. Route one newsletter as a test.
2. Day 2: Plug in the AI prompt above and run triage on today’s mail.
3. Days 3–6: Do the 2-minute triage each morning; act on Now items in a 10-minute block.
4. Day 7: Weekly tidy — measure unread count, Now completion %, adjust filters.

Small routines compound. Start with one newsletter and one morning triage — you’ll notice less noise and more useful action within a week.

Spot on: your “why it matters” line plus the two-tap CTA is the fastest way to lift replies. Let’s add one upgrade: lock in your voice so every rewrite sounds like you — then optimize for the mobile inbox preview. That combo saves minutes and gets more yeses.

Quick win (under 5 minutes): Run the “Voice Card” once, then use the rewrite prompt. You’ll get a polished email that matches your tone, shows a strong subject and preview (what people see on their phone), and includes a checklist so you don’t ship errors.

What you’ll need

• Messy draft (paste as-is).
• Recipient role and desired outcome.
• Hard constraints (date, figures, attachments).
• Two emails you’ve sent that feel like “you” (for tone).

Step-by-step

1. Create your Voice Card (1 minute).
2. Run the rewrite prompt with role, outcome, constraints, and your draft.
3. Skim the red-flag checklist (names, dates, amounts, file names).
4. Add one personal line if relevant. Send. Schedule the 3-day follow-up.

Copy-paste prompt 1 — Voice Card (run once):

“Learn my email voice from the samples below. Extract: 1) 3 tone adjectives, 2) average sentence length, 3) greeting/sign-off style, 4) vocabulary preferences, 5) do/don’t list. Return a short ‘Style Card’ I can reuse. Samples: [paste 2–3 sent emails you like].”

Copy-paste prompt 2 — Role-aware rewrite with mobile preview and checklist:

“Using the Style Card above, rewrite the email below for a [recipient role]. Objective: [outcome]. Constraints: include [figures, date, attachment names]. Max [X] sentences, Grade 6–8 reading level. Return exactly: 1) Subject (decision-focused), 2) Preview text (≤90 characters) optimized for mobile, 3) One-line opener that says why it matters to the recipient, 4) Body in 2–3 short paragraphs with only essential facts, 5) One single-sentence ask with a clear date/next step and two simple reply options (Yes / Alternative), 6) One 1-sentence follow-up to send after 3 days if no reply, 7) One slightly more formal variant, 8) Red-flag checklist of items to verify (names, dates, amounts, attachments). Draft: [paste messy draft].”

Example — messy to clear

Messy: “Hi — quick thing on the vendor security review. We’re sort of almost there but I think IT still needs to sign off and the quote looks off from last month. Can you take a look when you can? I added the doc but might not be final.”

Polished output (what you can expect):

Subject: Final check on vendor security — OK to approve by Fri 27th?Preview: Keeps us on schedule and locks pricing.

Hi — approving this by Fri keeps us on schedule and locks the current price.

IT review is complete. The quote is $18,450 (same as April). The security summary is attached.

Can you approve by Fri 27th? Reply “Yes” or share an alternative date.

Follow-up (3 days): “Quick nudge on vendor security approval — if ‘Yes’, I’ll notify vendor today.”

Insider upgrades (premium, but simple):

• Mobile first: Ask for a 90-character preview line. Many decisions happen from the lock screen.
• Benefit lens: Money/time/risk in 7–12 words after the opener. Example: “Locks pricing and avoids a re-quote.”
• One decision, two taps: Make the ask binary (Yes / Alternative). Lower friction = faster replies.
• Red-flag checklist: Force a quick verify of risky details so you don’t send a correction later.

Common mistakes & fixes

• Hedging (“maybe”, “sort of”, “might”): Replace with clear, neutral facts.
• Too much context: Keep it to 1–2 essential lines; move details to the attachment.
• Vague CTA: Add a date and reply options. One decision only.
• Tone drift: Use the Voice Card so every email sounds like you, not a robot.
• No preview line: You’re leaving mobile attention on the table. Always include it.

What to expect

• Draft to send: ~4–6 minutes (including your quick checks).
• Outputs you can A/B: decision-focused subject vs. relationship-friendly variant.
• Cleaner replies and fewer clarification loops because the ask and date are explicit.

1-week action plan

1. Day 1: Build your Voice Card from 2–3 emails. Save it.
2. Days 2–3: Use the rewrite prompt on three real emails (different roles). Schedule the 3-day follow-up.
3. Day 4: Review which subject + preview combo gets the fastest replies.
4. Day 5: Standardize your template (Opener benefit + Essential facts + One decision with date + Yes/Alt).
5. Days 6–7: Apply to all decision/approval emails. Track reply rate, time-to-first-reply, and follow-ups per thread.

Pro tip (for high-stakes notes): Ask for two modes in one run — Decision Mode (direct ask + date) and Relationship Mode (warmer opener, same ask). Choose based on recipient seniority and context.

Your next step: Create your Voice Card now with two sent emails. Then run the role-aware rewrite with preview and checklist. It’s a small shift that pays you back every time you hit send.

You’ve got the right system. Now make it push‑button. Package your process into a repeatable “Spec‑to‑Sales Kit” that turns any engineer’s spec into compliant, conversion‑ready copy across channels in under an hour.

The goal: one pass to brief, one pass to write, one pass to prove — then publish and test.

What you’ll bring

• One spec (even a paragraph is enough to start).
• Buyer snapshot (pain + decision trigger).
• Brand voice notes (3 adjectives + 1 sample line).
• Claim policy (what you can/can’t say) or a simple “no superlatives” rule.
• Your A/B testing tool (email or landing-page).

The 60‑minute assembly line

1. Build a one‑page brief (10 minutes)Clarify audience, outcomes, and proof before you write. This reduces rewrites by half.
2. Extract proof and benefits (10 minutes)Turn the spec into a Spec→Benefit matrix with evidence tags. You already have the idea; we’ll automate it below.
3. Generate a multi‑channel copy pack (15 minutes)Produce landing hero, 150‑word section, bullets, email subjects, and a social variant with length limits.
4. Compliance scrub + redline (10 minutes)Auto‑downgrade risky claims, remove superlatives, and keep [E#] traceability.
5. Score and tighten (10 minutes)Apply a conversion rubric: clarity, benefit first, proof visible, one action. Fix anything below target.
6. Launch test (5 minutes)Headlines + 150‑word section A/B. Keep the CTA constant.

Insider tricks that compound results

• Benefit Ladder: force three layers per claim — Functional (faster), Business (saves cost/time), Emotional (sleep better, fewer escalations). Use all three once on the page.
• Gain vs. Loss framing: create a twin headline set. One “get more,” one “avoid pain.” Often a 5–15% swing in CTR.
• Field‑length discipline: write to real limits (headline ≤8 words, email subject ≤45 chars). Clarity wins inbox battles.

Copy‑paste AI prompt: Brief Builder

“You are a product marketing strategist. From the spec below, create a 1‑page brief covering: 1) target buyer (role, top pain, decision trigger), 2) 5–7 benefits in buyer language, 3) measurable outcomes with verbatim quotes and Evidence Tags [E1..En], 4) risks/limits to disclose, 5) tone guidance (3 adjectives), 6) banned words/superlatives to avoid, 7) core CTA. Format as bullets. Spec: [paste]. If information is missing, list assumptions clearly.”

Copy‑paste AI prompt: Assembly‑Line Copy Pack

“You are a senior B2B copywriter. Using this brief and Evidence Tags [paste brief with [E#]], produce a multi‑channel pack for [persona]. Constraints: every claim includes a [Verified]/[Directional]/[Qual] label and [E#]; no superlatives; Grade 7–9 readability; use Benefit Ladder (Functional, Business, Emotional) at least once. Deliver:
1) Landing hero: a) headline ≤8 words, b) subhead ≤18 words, c) 3 bullets (each ≤10 words) with [E#].
2) 150‑word feature→benefit section that begins with the buyer’s gain, then the “because.” Include one measurable metric with [E#].
3) 5 email subject lines (≤45 characters) and 2 preheaders (≤80 characters).
4) LinkedIn ad: primary text ≤125 characters, headline ≤30 characters, description ≤90 characters.
5) Two CTAs.
6) Two headline variants: [Gain] and [Loss] frames.
7) Provide a technical‑buyer version and a business‑buyer version.”

Copy‑paste AI prompt: Compliance Redline

“Act as a marketing compliance editor. Review this copy. Tasks: 1) flag any sentence without [E#], 2) replace risky or absolute words with precise terms, 3) downgrade claims as needed ([Verified]→[Directional] or [Qual]) without changing the meaning, 4) preserve length limits and voice, 5) output a redlined version followed by a clean final. Copy: [paste].”

Quick example (from a single spec line)

Spec: “API reduces average processing time by 32% with 99.95% availability.”

• Hero (gain): “Ship updates 32% faster.” [Verified][E1]
• Hero (loss): “Stop missing cutoffs by minutes.” [Qual][E1]
• Subhead: “Stay at 99.95% while you speed up.” [Verified][E1]
• Bullet (functional): “Clears queues 32% faster.” [Verified][E1]
• Bullet (business): “Shorter release windows.” [Qual][E1]
• Bullet (emotional): “Fewer late‑night escalations.” [Qual][E1]

Conversion scoring rubric (aim ≥ 8/10)

• Benefit first (clear buyer gain in line 1).
• One measurable metric visible above the fold.
• Proof tags present on every claim.
• Readability Grade ≤ 9; sentences mostly ≤ 18 words.
• Calls to action are specific and low‑friction.
• Field limits respected across channels.
• Two tones shipped (technical and business).
• No superlatives or implied guarantees.
• Objections pre‑bunked (security, effort, compatibility).
• Single, obvious next step on the page.

Mistakes to avoid (and the fix)

• Overwriting the hero — Fix: ≤8 words. Noun + verb + number.
• Burying proof — Fix: put one tagged metric in the subhead.
• Mismatch CTA — Fix: pair benefit with a micro‑commitment (e.g., “See a 10‑minute walkthrough”).
• One‑tone pages — Fix: publish business copy by default; route technical traffic to a tech variant.
• Ignored length limits — Fix: force the model to output counts; reject anything over cap.

Action plan (next 48 hours)

1. Paste your latest spec into the Brief Builder; approve the bullets and tags.
2. Run the Assembly‑Line Copy Pack; generate tech and business versions.
3. Run Compliance Redline; accept downgrades and remove any untagged claims.
4. Publish an A/B test: headline + 150‑word section; constant CTA.
5. Measure: headline CTR, section scroll depth, and conversion. Keep what wins; archive the Evidence Tags for the next page.

Closing thought

AI doesn’t replace your judgment — it multiplies it. When you lock the brief, the proof tags, and the length limits, drafts jump to “ready to ship” in one cycle. Which channel are you testing first — landing page or email?

Quick win (5 minutes): Pick three recent reminders (phone, email flag, Slack mention). Forward or copy them into a new Google Sheet row. That single list instantly feels less chaotic — and proves the value of one place to check.

Why this works

Reminders spread across apps steal attention. AI lets you automate the messy bit: gather, clean, dedupe, and prioritize — so you only make decisions once a day from one trusted list.

What you’ll need

• Accounts for your reminder sources (Google/Apple/Outlook, Todoist, Slack, email).
• An automation tool with connectors (Zapier, Make, or Power Automate).
• A destination: Google Sheet, Notion DB, or one task list you check daily.
• Access to an AI model via your automation tool or a simple API key.

Step-by-step (do this)

1. Inventory: Write down every place you get reminders and how you can export items (email forward, webhook, or connector).
2. Choose destination: Pick the single list you will open each morning.
3. Create connectors: For 2–3 sources, set triggers that send new items to your pipeline (start read-only).
4. Normalize: Map incoming fields to title, due_date, source, link, notes.
5. Add AI: Batch items (10–50), call the AI to dedupe, infer priority, and add category tags.
6. Write back: Save the cleaned output to your destination and set a daily digest email or Slack message.

Example — before & after

• Before: “Call John”, flagged email: “Follow up re contract?”, Slack: “Can we review Q3?”
• After (AI-cleaned): “Review Q3 deck — High — Meeting — due 2025-11-25 — source: Slack”; “Follow up contract with John — High — Email/Call — due 2025-11-23 — source: Email”

Copy-paste AI prompt

Please clean and normalize this batch of reminder items. Each item has: title, notes, source, created_date, due_date (optional). Return a JSON array where you: 1) remove exact and near-duplicates, 2) infer priority (High, Medium, Low) using due_date and urgency keywords, 3) assign a category from {Call, Email, Errand, Admin, Project, Meeting, Follow-up}, 4) provide a one-line standardized title, 5) include a confidence score (0-100). Output fields: title, category, priority, due_date, source, confidence.

Common mistakes & fixes

• Missing dates — add rule: no due date = today + 7 days.
• Too many duplicates — increase similarity threshold or ask AI for semantic dedupe.
• Write-backs causing loops — start read-only; only enable writes after 1–2 weeks of accuracy checks.

1-week action plan (practical)

1. Day 1: Inventory + choose destination (30–60 min).
2. Day 2: Set up 2 connectors (60 min).
3. Day 3: Normalize schema + test flow (45–60 min).
4. Day 4: Add AI step and run 50 items (60–90 min).
5. Day 5: Tweak prompts, add a source (45–60 min).
6. Days 6–7: Monitor results, set daily digest (30–60 min).

Closing reminder: Start simple, get a quick win, then iterate. You’ll save attention and a surprising amount of time once you trust that single list.