Jared Zoneraich on Building Agents for Improving Models

The Cognition builder argues that agent designs should account for model progress and avoid unnecessary scaffolding.

JZJared ZoneraichGuest · Cognition
Channel
Peter Yang
Published
Jul 13, 2026
Video
0:43
Read
1 min
Original
English
Open on YouTube
Scroll to read and the video shrinks to the bottom-right corner. Captions follow your reading language.
Reading languageAvailable in 2 languages
You're reading the original English.
SUMMARY

In 30 seconds

Asked about common agent-building mistakes, Jared Zoneraich advises teams to account for model progress and avoid scaffolding that fights the model's capabilities.

  1. 1Account for model progressZoneraich says teams should consider the direction of model development.
  2. 2Avoid fighting the modelHe recommends allowing the model to use its capabilities instead of forcing every step.
  3. 3Revisit scaffoldingHe predicts that stronger models will need less surrounding scaffolding for some tasks.

Takeaways

  1. Consider how model capabilities may change when designing an agent.
  2. Let the model handle tasks it can perform rather than adding unnecessary direction.
  3. Zoneraich expects improving models to reduce some scaffolding needs over time.
FULL TEXT

Read the edited text by chapter

Transcript only
01

Designing as models improve

Zoneraich discusses model progress and agent scaffolding.

Asked about mistakes in building AI agents, Cognition builder-in-residence Jared Zoneraich says teams should account for progress in model capabilities. He recommends designing with the direction of model development in mind and avoiding unnecessary scaffolding that forces the model into a particular path. In his view, improving models will reduce the amount of surrounding machinery needed for some tasks; this is his expectation rather than a universal rule for every agent.

More from this channel

46:40EN
Peter Yang· Nov 8, 2026Podcast · 2 speakersAshley Alexander: How AI Helps Me Care for My Parents With CancerGuest Ashley Alexander · Host Peter YangA caregiver uses AI to prepare for appointments, organize records and ask better questions—while keeping doctors at the center of treatment.AI in healthcareHuman-AI CollaborationProductivity
17:50EN
Peter Yang· Nov 4, 2026PodcastPeter Yang’s Five Steps for Using AI to Help Care for His MotherYang uses a shared care brief and organized records to navigate appointments, while making time for family.AI in healthcareHuman-AI CollaborationProductivity
15:03EN
Peter Yang· Nov 3, 2026PodcastHow Peter Yang Used an AI Phone Agent to Negotiate His Internet BillAn AI call negotiated a lower price and faster service, but Yang still had to approve the change himself.AI agentsProductivityHuman-AI Collaboration
33:09EN
Peter Yang· Nov 1, 2026Podcast · 2 speakersJaclyn Konzelmann: When AI Can Build More, Choose What Deserves to ExistGuest Jaclyn Konzelmann · Host Peter YangGoogle Labs pairs short strategy documents with prototypes, user co-creation and lessons from experiments that end.AI Product ManagementProduct StrategyHuman-AI Collaboration+1
4 slides13:05EN
Peter Yang· Oct 28, 2026PodcastPeter Yang Tests Genie 4: Convincing Worlds, Unfinished GameplayFive live demonstrations show scenes that respond to prompts and sound, alongside inconsistent actions and limited game mechanics.Generative mediaVision & video
Slides1:06EN
Peter Yang· Oct 26, 2026PodcastPeter Yang on Setting Up Payroll for a One-Person BusinessIn a paid partnership, Yang describes the paperwork he encountered and a payroll product integrated with a business account.EntrepreneurshipProductivity