Scale Content Consumption with this AI Workflow and Declutter Your Inbox ft. Sophie Buonassis
Turn 50+ newsletters into a ranked 5-minute brief a few Gmail labels, one agent, zero FOMO.
There’s so much great content out there, but I often feel like I subscribe to too many newsletters, and I can’t keep up! That is why this week’s episode hits home. Sophie Buonassisi builds an AI workflow that helps you consume content at scale using a tool called Lindy. And this is just one awesome workflow that she has built with this tool. It’s definitely a tool I’ll be using more this year for my AI workflows.
This week’s Stack:
1 video: Turn 50+ AI newsletters into a ranked, five-minute brief your team actually uses.
1 prompt: Spin up account-specific ABM plays with hooks, channels, and a week-by-week plan.
1 tool: Route each content task to the best model in one workspace—quality up, costs sane.
3 resources: NanoBanana made easy, Reddit Do’s and Gravity Marketing
3 jobs: Top AI companies paying top band
Let’s dive in.
Workflow Walkthrough: Consume Content at Scale
Meet Sophie Buonassisi. She shows how to turn your overflowing AI-news inbox into a ranked, actionable weekly digest you actually read and uses. The build lives in Lindy: a single “newsletter analyst” agent that scoops up labeled emails, standardizes every item, scores relevance to your ICP, and routes the keepers to the right next action.
In this episode, we cover:
The one-label setup in Gmail (“newsletter”) so the agent only pulls what matters.
A normalization prompt that extracts title, link, date, source, and a one-line “why it matters.”
Scoring logic that ranks items against your ICP and tags winners as “Deep Dive,” “PR,” or “GTM Add.”
Cadence that sticks (e.g., Tue/Thu 9am) so reading turns into a team ritual.
Easy extensions to podcasts, RSS, and community threads—same pattern, new inputs.
Guardrails for cost, reliability, and noise (short memory windows, thresholding, and light QA).
Here’s a screenshot of what Sophie gets in her onbox every week:
Grab the leave-behind:
Prompt of the Week: Target Account Strategy Builder
Spray-and-pray is dead. Yes, people have been saying it for years, but still do it! But I’m sure you’re wondering what works instead. The answer is ABM.
And this week’s prompt makes ABM even easier. Drop in your target accounts and personas, and this prompt pulls public intel, surfaces a “why now” hook, and outputs a sequenced plan with clear sales touchpoints. Use it to pull together micro-campaigns around funding, launches, renewals, or churn risks. It’s personalization that scales past “Hi {FirstName}” because let’s be real, that’s not personalization.
You are an expert Account-Based Marketing (ABM) Strategist helping to design a personalized campaign targeting a select group of high-priority accounts.
Objective: Develop a tailored ABM strategy for each target company based on provided account names and persona details.
Input:
Target Accounts: [INSERT COMPANY NAMES]
Key Personas (Titles, Roles, Pain Points, Goals): [INSERT PERSONA DETAILS]
Instructions:
For each account:
Conduct research using publicly available sources to uncover relevant news, trends, and potential business challenges.
Identify strategic hooks or insights to personalize outreach.
Create a custom ABM plan including:
Core message/value proposition: What to say and why it resonates.
Channels & tactics: Choose from personalized email, LinkedIn outreach, custom content, events, direct mail, etc.
Engagement timeline & cadence: Suggested touchpoints and sequencing.
Include sales collaboration steps: Specify when and how the sales team should be involved (e.g., warm handoffs, co-created messaging, joint meetings, feedback loops).
Output Format:
🔹 Account: [Company Name]
Key Insight:
[Brief summary of relevant public info, trend, or challenge]
Core Message/Value Prop:
[Personalized message tailored to persona + company needs]
Recommended Tactics & Channels:
[Tactic 1]
[Tactic 2]
[Tactic 3]
Timeline & Cadence:
[Week-by-week or stage-based engagement plan]
Sales Coordination Plan:
[Where and how to integrate sales team touchpoints]
🧩 Cross-Account Summary
Common themes across accounts:
[e.g., Industry trends, shared challenges, similar tactics that scale]
Opportunities to repurpose content or campaigns:
[e.g., Thought leadership, templates, scalable outreach]
Tone: Strategic, persuasive, and actionable.
I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 60+ more prompts.
The Ultimate ChatGPT Prompt Library for Marketing Leaders
I remember the first time I used ChatGPT for marketing. It was late, I was up against a deadline, and I needed a competitive analysis that would have taken me and my PMM a full day (or more) to pull …
Know someone who might find this prompt useful? Share it with them!
Tool of the Week: Go Multi-Model Without Breaking the Bank
There are so many different tools and models, which all are great for different things. But I know I’m not going to pay for 100+ tools What why I love this week’s AI tool find.
GlobalGPT lets you route each task to the model that’s best for it (ideation, drafting, rewriting, research, etc) inside one workspace. Compare outputs side-by-side, standardize the winner, and keep usage/billing centralized so experiments don’t turn into five subscriptions and an expense report migraine. Now, you can produce higher-quality content, faster, with cost control that scales.
Try it: https://www.glbgpt.com/
AI Resource Roundup
Tips for Using “Nano Banana” in Gemini: A quick walkthrough for turning a basic iPhone photo into a polished portrait via JSON prompts. Perfect for fast thumbnails, speaker headshots, and creative testing.
Reddit Do’s & Don’ts for B2B: Emily Paxton shares how to build a credible brand presence on Reddit (own a subreddit, monitor mentions, and participate consistently) so your answers surface in AI-generated results.
AI & Gravity Marketing with Harald Roine: “Value-first” marketing and the 3-give-1-ask approach, plus near-term AI-to-AI interactions and where humans still win with original strategy.
Hot AI Jobs
Here are 3 awesome roles at some of the hottest AI companies. They might be a stretch, but these are all opportunities that will make your career.
Marketing Insights Research Manager at Anthropic
City / Remote: San Francisco, CA (Hybrid; ~25% in-office)
Pay Range: $200,000–$255,000 base
Enterprise Marketing (US) at ElevenLabs
City / Remote: Remote (US) or NYC/SF office
Pay Range: Not listed
Product Marketing Lead, AI at Snowflake
City / Remote: Menlo Park, CA (Hybrid)
Pay Range: $175,000–$249,900 base (bonus & equity eligible)
As I said last week, conference season is in full swing, and now I’m off to Pavilion’s GTM Summit in DC. If you’re there, ping me and let’s meet up. Then it’s wheels down back home and I’m grounding myself for at least a month.
Until next week, keep scaling!
– Brandon
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