Applied
Wizardry

Founding sponsor · Season 1

Reach the people building with AI

Applied Wizardry is conversations with the founders and engineers building with AI: what they use, what works, what breaks, and how it changes their teams and businesses. We're looking for a founding sponsor for Season 1.

Get in touch

The audience

People who already build with AI

  • Software engineerswho use coding agents and AI tools every day
  • Engineering leadersdeciding how their teams adopt and pay for AI
  • Technical foundersbuilding products and companies around AI

What's included

Across all 12 episodes

  • Pre-roll, mid-roll and end-roll reads

    In every episode of the season, read by the host.

  • "Presented by" on every thumbnail

    Your logo on the artwork for every episode.

  • LinkedIn shout-outs

    Called out when episodes are promoted.

Editorial independence

Sponsor reads are disclosed, and episode content stays independent. Tools and platforms are covered on their merits, and any partners are disclosed. That independence is what makes the audience trust the show, and what makes a sponsorship worth having.

Season 1

Twelve episodes

These are working themes; episode titles are still to come.

  1. 01

    Cut your token burn

    Where AI spend goes, and how teams bring it down without slowing down. With Dave Slutzkin.

  2. 02

    Coding harnesses roundup

    Claude Code, Codex, Cursor and the rest: what each is good at, and how builders choose.

  3. 03

    Is code review dead?

    When agents write most of the code, what review is for and who does it.

  4. 04

    WTF is a software factory?

    What the term means, what it looks like in practice, and where the humans fit.

  5. 05

    Domain-specific harnesses

    Building products and businesses around a harness made for one industry or job.

  6. 06

    The agent-native stack

    The infrastructure and platforms that agent-built software runs on.

  7. 07

    Do programming languages matter any more?

    Whether language choice still matters when agents write the code.

  8. 08

    Why is eval important?

    Measuring whether AI output is good enough, and how that differs from testing.

  9. 09

    Cutting cyber risk

    The security risks that come with agents, and how teams reduce them.

  10. 10

    The MCPs that matter

    Which MCP servers and integrations are worth using, and which aren't.

  11. 11

    Managing your own context

    How builders manage their own attention while running many agents at once.

  12. 12

    How the sharpest startups are built to build

    Team structure, roles and hiring at startups built around AI.

Let's talk

Ask for the Season 1 sponsorship proposal, including pricing.

yaniv@appliedwizardry.ai