How I Actually Use AI

AI is a force multiplier if you give it the right constraints. Since I began consulting and building CampaignSync, I’ve leaned on AI to stay organized and move faster without sacrificing quality. I used it casually before, but over the past year I’ve built clearer processes that help me operate at a higher level day-to-day.

At a practical level, AI turns raw notes into structured plans and reusable templates, and it keeps my work organized around how I naturally get things done. I capture thoughts from calls, classes, and day-to-day work, then ask AI to shape them into outlines, checklists, and timelines. That shift from scattered ideas to a concrete plan reduces context switching and helps me ship consistently.

I also use AI to align my schedule with my working style. In my MBA program, we completed assessments (including I-Opt and Vroom) that clarified how I make decisions and when I do my best work. I feed those insights into AI to produce a prioritized task list and weekly rhythm that matches my energy: deep work in the morning, execution in the afternoon, and “two big rocks” per day. It’s a simple guardrail against burnout.

Finally, project-based workspaces have been a game changer. Keeping running context, resuming threads quickly, and setting reminders prevents momentum from stalling—especially when I’m juggling multiple initiatives. All of this supports a campaign-first approach to marketing: clear narrative, disciplined execution, and measurable outcomes.

Below is the short framework I keep at my desk.

Framework

1) Start with an “AI Brief” so it learns you, not the internet

A one-pager I paste in when I kick off a project or new idea:

• Audience / ICP: who we’re speaking to, pains, buying triggers

• Voice rules: confident, no fluff, founder tone

• Positioning: campaign-first, outcome-driven, fewer tools

• Offers: GTM strategy, campaign management, branding alignment

• Proof: relevant metrics/wins to avoid generic claims
  

Why it works: AI optimizes within constraints. Output sounds like me, not a content mill.

2) Turn notes into shippable campaigns

What I ask AI to do with my notes:

• Summarize into 3–5 insights

• Outline the assets: one pillar, four LinkedIn posts, one email, one landing page

• Create checklists and timelines so the plan actually ships
  

Prompt I use:“From these notes, create: (a) a pillar post outline, (b) four LinkedIn posts, (c) one email, and (d) a landing-page wireframe. Keep the ‘campaign-first’ narrative. Add the metrics to track.”

3) Run a personal “work OS” to prevent burnout

I distilled my assessment takeaways (best deep-work windows, bias toward action, decision style) and ask AI to prioritize and sequence my week.

What it produces:

• Deep work (strategy/writing) AM; execution/admin PM

• Two big rocks per day + no-meeting blocks

• A priority list that tags tasks by effort and impact, and suggests the next best move
  

Result: fewer context switches, more consistent publishing, less burnout.

4) Red-team everything (so you don’t publish fluff)

Before anything goes live, I ask AI to be skeptical: “Act as a critical reviewer. What claims need proof? Offer stronger alternatives and concrete examples.” It catches generic lines, pushes for specificity, and saves me from “sounds smart but says nothing.”

5) A simple 90-day campaign plan

Weeks 1–2: Foundation

• Develop AI Brief (ICP, voice, proof)

• Set narrative + pillar themes

• Draft landing-page wireframe + analytics plan
  

Weeks 3–6: Ship & learn

• Publish 1 pillar + 4 derivatives + 1 email

• Run 2 micro-offers (e.g., teardown or mini-audit)

• Track: post saves, replies, opt-ins, call bookings
  

Weeks 7–10: Double down

• Re-promote the top performer in a new format (carousel, short video)

• Add one partner channel

• Tighten the email sequence based on real questions you’re hearing
  

Weeks 11–12: Systematize

• Template the pillar → post → email workflow

• Document “what good looks like” (benchmarks + examples)

• Decide whether to scale or switch themes
  

Conclusion

AI creates leverage when it’s anchored to a clear point of view and a simple rhythm. The framework above isn’t meant to automate thinking, it’s there to protect it: turn raw inputs into a plan, prioritize tasks, and pressure-test everything before it ships. Used that way, AI reduces context switching, keeps the voice human, and helps you publish with consistency.