MP Thaker

Know it. Write it. Build it.

I turn what people know into things that run.

Know it.

Over a decade in operations taught me that most things break at the handoff.

That decade was hospitality operations, including Ace Hotel and Standard Hotels.

In the Yucatán I ran customer operations for four properties. Revenue grew 80% a year, and nobody on the team left.

Then I co-founded a grocery marketplace and built it from the first version to 20,000 users and an exit.

Now I write down what people know and build things that run on it.

More on my work

Write it.

My newsletter, and MPin the PM, a short showI post in the evenings.

One email every two weeks: what shipped and what I learned.

Read the writing Watch MP in the PM

Latest

Newest video, Oct 9How I find, audit and redesign small inn websitesAll writing

Speaking

Say it.

Podcasts, events and workshops on what people know and what they can build from it: a decade in operations, three companies, and products built with AI.

As heard on Productize Me with Henry Lauer, Georgia Public Broadcasting and Square One Startup School. Past appearances

Invite me to speak

Build it.

Open-source assistant

Dial Zero

A personal assistant you text. It runs on your own Mac, keeps your calendar and to-dos straight, and can phone businesses for you.

I asked mine to check the wait at a cafe. It called, asked, and texted me what they said.

Try Dial Zero GitHub

Real texts from my assistant, from the demo video. Business names changed.

Text thread asking the assistant to call a cafe about the wait, and its reply.Call card: on the phone with Corner Cafe, and how the call opened.A booking that could not finish: nothing was booked or paid. Want me to call them instead?

Prep for career coaches

Grapevines

Grapevines does the preparation before each coaching session so a coach can work with more people. Coaches run every session.

See the coach prep

The Today screen, rebuilt with a fictional participant and fictional companies, then a page from the public sample packet. No real participant data.

Grapevines Today screen for a fictional participant: a short note and today’s focus list.What she sees on the days you are not there: the plan before session one, what to hold, and what the coach sees.

Custom storybooks

Little Fables

Storybooks made around one child, first for my son. A custom LLM pipeline drafts each story, I read it aloud and edit it, and the family approves the art before anything is printed.

Read a sample book

The public sample book. Illustrations made with AI image models.

A page from the public sample book: Ada at the edge of the pond.Illustration from the sample book: Ada by the pond at dusk.The same page in night mode: text only, for bedtime.

Service for independent inns

Busy Lobby

Audits independent inns’ websites and booking paths, then builds and runs sites for the ones it works with.

It comes out of my decade in hospitality.

See Busy Lobby

Busy Lobby’s own demo, with a sample inn that is not a real property.

Family early warning

Canairy

Watches dozens of public economic and safety signals, from Federal Reserve and Treasury data to FEMA disaster declarations, local readings by ZIP code and federal benefit rule changes.

It says what changed in plain English, marks each signal green, amber or red, and tells a family what to do this week.

See Canairy

canairy.news as it read on October 9.

Canairy Today: a plain-English summary of the readings, and one mark per signal grouped by costs, jobs, banks, energy, health and safety.This week: spend 20 minutes on storm readiness, with the readings it is based on and where to get help.

Research and episodes

The Operator Economy

What one person can build and run with AI, kept separate from my own story so the evidence can disagree with me.

Episodes on YouTube and free blueprints on its own site.

Watch The Operator Economy

Its own published material, linked out. The thumbnail shows its AI presenter.

Episode thumbnail: Help her sell.Cover of a free Operator Economy blueprint.

A team that doesn’t exist.
Here’s the org chart.

The org chart

Manav

Decides what goes forward, what gets said and what ships. Approves drafts in the morning email.

Milo, chief of staff

My own assistant: the standup email, the evening brief, tasks, texts and calls.

Daily, 7:00am and 8:00pm

  • Morning pulse

    What moved, where each project stands, today’s priorities.

    Daily, 6:00am

  • Evening pulse

    Did today’s priorities happen; what’s set up for tomorrow.

    Daily, 7:30pm

Research

  • Episode scout

    Finds problems someone would pay to solve; keeps a shortlist.

    Daily, 5:00pm

  • Research bench

    Writes up one lead with sources and argues against it.

    Mon and Thu, 9:00am

  • Buyer research

    Finds coaching-firm buyers and queues who to reach.

    Daily, 7:15am

  • Signal watch

    Checks public economic and safety data for Canairy.

    Hourly

  • Inn discovery

    Finds independent inns and checks their websites and booking paths.

    Daily, 10am, 2pm and 6pm

Editorial

  • Business model

    Works out how the business in the episode makes money.

    Per episode

  • Claims check

    Keeps every claim inside what the research supports.

    Per episode

  • Story

    Builds the story.

    Per episode

  • Script

    Writes the script.

    Per episode

  • Review

    Exists only to attack the draft.

    Per episode

Production

  • Voice

    Performs the script in a clone of my voice.

    Per episode

  • Presenter

    An AI presenter built from my likeness.

    Per episode

  • Scenes

    Builds scenes in code; generates footage nobody filmed.

    Per episode

  • Open-source sync

    Ports my assistant’s generic changes to Dial Zero, behind tests and a privacy check.

    Nightly, 1:30am

  • Inn audits and demos

    Prepares audits and homepage demos for Busy Lobby.

    Weekdays, 7:00am

Distribution

  • X drafts

    Drafts today’s posts for my approval.

    Weekdays, 6:20am

  • X publishing

    Posts what I approved.

    Weekdays, 12:31pm

  • X engagement

    Replies, mentions and messages I approved.

    Daily, five times

  • LinkedIn comments

    Posts approved comments, drafts new ones.

    Daily, 8:20am

  • LinkedIn connections

    Sends approved notes, checks accepts.

    Weekdays, 10:20am

  • Shorts uploader

    Uploads ready shorts and episodes to my channel.

    Daily, 12:50pm and 8:50pm

  • Speaking pitches

    Finds shows and drafts pitches; sends approved ones.

    Mon, Wed, Fri, 7:40am

  • Licensing outreach

    Little Fables licensing emails and follow-ups.

    Mon and Thu, 8:05am

Measurement

  • LinkedIn readings

    Captures post numbers into the scoreboard.

    Daily, 4:10pm

  • X readings

    Post metrics and followers.

    Daily, 4:45pm

  • Shop readings

    Little Fables shop stats.

    Daily, 7:30am

  • Scorecard

    The week’s distribution scorecard.

    Fridays, 2:30pm

Every box is a scheduled job or an AI role. I approve what ships.

The work