Public Event

In Person

AI Tinkerers:

How it's Made: Creating a Multi-Agent Email Generation Tool with Dynamic Content Pipelines

Register for Event
RSVP

Jul

29

An Inside Look at Production AI Systems That Actually Convert

Join AI Tinkerers for a technical deep-dive into how PromptLayer engineered a multi-agent email system achieving 50-60% open rates and 7% positive reply rates. See the actual architecture, learn the engineering decisions, and understand the production patterns behind a revenue-generating AI system.

What You’ll Learn

This educational session reveals the technical architecture and engineering decisions behind a production multi-agent email system, covering:

Key Technical Insights

Architecture & Optimization

  • Multi-agent systems outperform monolithic approaches for specialized email generation
  • Dynamic model selection (gpt-4o-mini to gpt-4.5) based on complexity requirements
  • Strategic QA pipeline placement: effective for subject lines, counterproductive for content
  • Cost optimization achieving $0.002 per lead through intelligent resource allocation

Production Engineering

  • Prompt version control managing 33+ iterations with safe deployment practices
  • Real-time web scraping with parallel processing and robust fallback strategies
  • Failure handling through retry logic, escalation paths, and performance monitoring
  • Cross-functional systems enabling non-technical teams to operate AI workflows

Workshop Format

Main Demonstration (20 minutes): Inside Agent #1 - Research & Scoring See how PromptLayer’s team architected their lead processing pipeline:

  • Live walkthrough of canonical URL resolution logic
  • Examination of parallel web scraping + LLM processing architecture
  • Analysis of relevance reasoning prompts and scoring algorithms
  • Deep-dive into branch gating decisions and cost trade-offs
  • Real debugging session of production prompt failures

Technical Deep-Dives (10 minutes): Refining the Rough Edges

  • Agent #2: Subject line generation with cascading QA loops
  • Agent #3: Template-based sequencing and why they removed QA here
  • Integration architecture with CRM systems and webhook patterns

All demonstrations use their actual production code and real performance data

Who Should Attend

Technical Audience Seeking Production Insights:

  • Senior engineers evaluating AI system architectures
  • Technical leaders planning AI implementations
  • ML engineers interested in production deployment patterns
  • Platform engineers supporting AI workloads
  • CTOs/Technical founders scaling AI-powered products

when

Tuesday
July 29, 2025
6:00 pm

LoCATION

Betaworks • 29 Little West 12th Street, New York, NY 10014

agenda

Speakers

Jared Zoneraich

Founder
PromptLayer
Biography

Sponsors

In Person
–
Public Event

How it's Made: Creating a Multi-Agent Email Generation Tool with Dynamic Content Pipelines

July 29, 2025
6:00 pm

Postponed: New Date TBA

RSVP

About

An Inside Look at Production AI Systems That Actually Convert

Join AI Tinkerers for a technical deep-dive into how PromptLayer engineered a multi-agent email system achieving 50-60% open rates and 7% positive reply rates. See the actual architecture, learn the engineering decisions, and understand the production patterns behind a revenue-generating AI system.

What You’ll Learn

This educational session reveals the technical architecture and engineering decisions behind a production multi-agent email system, covering:

Key Technical Insights

Architecture & Optimization

  • Multi-agent systems outperform monolithic approaches for specialized email generation
  • Dynamic model selection (gpt-4o-mini to gpt-4.5) based on complexity requirements
  • Strategic QA pipeline placement: effective for subject lines, counterproductive for content
  • Cost optimization achieving $0.002 per lead through intelligent resource allocation

Production Engineering

  • Prompt version control managing 33+ iterations with safe deployment practices
  • Real-time web scraping with parallel processing and robust fallback strategies
  • Failure handling through retry logic, escalation paths, and performance monitoring
  • Cross-functional systems enabling non-technical teams to operate AI workflows

Workshop Format

Main Demonstration (20 minutes): Inside Agent #1 - Research & Scoring See how PromptLayer’s team architected their lead processing pipeline:

  • Live walkthrough of canonical URL resolution logic
  • Examination of parallel web scraping + LLM processing architecture
  • Analysis of relevance reasoning prompts and scoring algorithms
  • Deep-dive into branch gating decisions and cost trade-offs
  • Real debugging session of production prompt failures

Technical Deep-Dives (10 minutes): Refining the Rough Edges

  • Agent #2: Subject line generation with cascading QA loops
  • Agent #3: Template-based sequencing and why they removed QA here
  • Integration architecture with CRM systems and webhook patterns

All demonstrations use their actual production code and real performance data

Who Should Attend

Technical Audience Seeking Production Insights:

  • Senior engineers evaluating AI system architectures
  • Technical leaders planning AI implementations
  • ML engineers interested in production deployment patterns
  • Platform engineers supporting AI workloads
  • CTOs/Technical founders scaling AI-powered products

When

July 29, 2025
6:00 pm

Where

Betaworks • 29 Little West 12th Street, New York, NY 10014
RSVP

Agenda

Speakers

Jared Zoneraich

Founder
PromptLayer
Biography

Sponsors

Proof of Full Vaccination Required

Betaworks requires all visitors to show proof of full vaccination to enter. No exceptions. Two ways that you can show proof:
  • Official vaccine card with at least 2 weeks having passed since the date of the last required dose (1 dose for J&J/AstraZeneca, 2 for Pfizer/Moderna)
  • An active digital pass such as the NY State Excelsior Pass or the CLEAR app

Jul

29

Public Event

In Person

AI Tinkerers:

How it's Made: Creating a Multi-Agent Email Generation Tool with Dynamic Content Pipelines

Register for Event
Register Now

An Inside Look at Production AI Systems That Actually Convert

Join AI Tinkerers for a technical deep-dive into how PromptLayer engineered a multi-agent email system achieving 50-60% open rates and 7% positive reply rates. See the actual architecture, learn the engineering decisions, and understand the production patterns behind a revenue-generating AI system.

What You’ll Learn

This educational session reveals the technical architecture and engineering decisions behind a production multi-agent email system, covering:

Key Technical Insights

Architecture & Optimization

  • Multi-agent systems outperform monolithic approaches for specialized email generation
  • Dynamic model selection (gpt-4o-mini to gpt-4.5) based on complexity requirements
  • Strategic QA pipeline placement: effective for subject lines, counterproductive for content
  • Cost optimization achieving $0.002 per lead through intelligent resource allocation

Production Engineering

  • Prompt version control managing 33+ iterations with safe deployment practices
  • Real-time web scraping with parallel processing and robust fallback strategies
  • Failure handling through retry logic, escalation paths, and performance monitoring
  • Cross-functional systems enabling non-technical teams to operate AI workflows

Workshop Format

Main Demonstration (20 minutes): Inside Agent #1 - Research & Scoring See how PromptLayer’s team architected their lead processing pipeline:

  • Live walkthrough of canonical URL resolution logic
  • Examination of parallel web scraping + LLM processing architecture
  • Analysis of relevance reasoning prompts and scoring algorithms
  • Deep-dive into branch gating decisions and cost trade-offs
  • Real debugging session of production prompt failures

Technical Deep-Dives (10 minutes): Refining the Rough Edges

  • Agent #2: Subject line generation with cascading QA loops
  • Agent #3: Template-based sequencing and why they removed QA here
  • Integration architecture with CRM systems and webhook patterns

All demonstrations use their actual production code and real performance data

Who Should Attend

Technical Audience Seeking Production Insights:

  • Senior engineers evaluating AI system architectures
  • Technical leaders planning AI implementations
  • ML engineers interested in production deployment patterns
  • Platform engineers supporting AI workloads
  • CTOs/Technical founders scaling AI-powered products

when

Tuesday
July 29, 2025
6:00 pm

LoCATION

Betaworks • 29 Little West 12th Street, New York, NY 10014

agenda

Speakers

Jared Zoneraich

Founder
PromptLayer
Biography

Sponsors

7/29/2025

Betaworks

How it's Made: Creating a Multi-Agent Email Generation Tool with Dynamic Content Pipelines

Presented by

An Inside Look at Production AI Systems That Actually Convert

Join AI Tinkerers for a technical deep-dive into how PromptLayer engineered a multi-agent email system achieving 50-60% open rates and 7% positive reply rates. See the actual architecture, learn the engineering decisions, and understand the production patterns behind a revenue-generating AI system.

What You’ll Learn

This educational session reveals the technical architecture and engineering decisions behind a production multi-agent email system, covering:

Key Technical Insights

Architecture & Optimization

  • Multi-agent systems outperform monolithic approaches for specialized email generation
  • Dynamic model selection (gpt-4o-mini to gpt-4.5) based on complexity requirements
  • Strategic QA pipeline placement: effective for subject lines, counterproductive for content
  • Cost optimization achieving $0.002 per lead through intelligent resource allocation

Production Engineering

  • Prompt version control managing 33+ iterations with safe deployment practices
  • Real-time web scraping with parallel processing and robust fallback strategies
  • Failure handling through retry logic, escalation paths, and performance monitoring
  • Cross-functional systems enabling non-technical teams to operate AI workflows

Workshop Format

Main Demonstration (20 minutes): Inside Agent #1 - Research & Scoring See how PromptLayer’s team architected their lead processing pipeline:

  • Live walkthrough of canonical URL resolution logic
  • Examination of parallel web scraping + LLM processing architecture
  • Analysis of relevance reasoning prompts and scoring algorithms
  • Deep-dive into branch gating decisions and cost trade-offs
  • Real debugging session of production prompt failures

Technical Deep-Dives (10 minutes): Refining the Rough Edges

  • Agent #2: Subject line generation with cascading QA loops
  • Agent #3: Template-based sequencing and why they removed QA here
  • Integration architecture with CRM systems and webhook patterns

All demonstrations use their actual production code and real performance data

Who Should Attend

Technical Audience Seeking Production Insights:

  • Senior engineers evaluating AI system architectures
  • Technical leaders planning AI implementations
  • ML engineers interested in production deployment patterns
  • Platform engineers supporting AI workloads
  • CTOs/Technical founders scaling AI-powered products

speakers

Jared Zoneraich

Founder
PromptLayer
Biography

Schedule

No items found.

WHEN

Tuesday, July 29, 2025
6:00 pm

WHERE

Betaworks
29 Little West 12th Street
New York, NY 10014

Agenda

Tools
For
Thinking

How New Technologies are Changing How We Create, Share, and Build Knowledge

When

July 29, 2025
6:00 pm

Where

Betaworks • 29 Little West 12th Street, New York, NY 10014
or livestream
Proof of Full Vaccination Required

RENDER is Over, but Camp is just beginning

We had some great speakers and participants turn out for Render, and we all got to participate in very interesting conversations. You can find recordings of all of our sessions below. If you're working on a Tool for Thinking and want to participate in our upcoming accelerator program, you can learn more here.

Building Bicycles for the Mind

An Inside Look at Production AI Systems That Actually Convert

Join AI Tinkerers for a technical deep-dive into how PromptLayer engineered a multi-agent email system achieving 50-60% open rates and 7% positive reply rates. See the actual architecture, learn the engineering decisions, and understand the production patterns behind a revenue-generating AI system.

What You’ll Learn

This educational session reveals the technical architecture and engineering decisions behind a production multi-agent email system, covering:

Key Technical Insights

Architecture & Optimization

  • Multi-agent systems outperform monolithic approaches for specialized email generation
  • Dynamic model selection (gpt-4o-mini to gpt-4.5) based on complexity requirements
  • Strategic QA pipeline placement: effective for subject lines, counterproductive for content
  • Cost optimization achieving $0.002 per lead through intelligent resource allocation

Production Engineering

  • Prompt version control managing 33+ iterations with safe deployment practices
  • Real-time web scraping with parallel processing and robust fallback strategies
  • Failure handling through retry logic, escalation paths, and performance monitoring
  • Cross-functional systems enabling non-technical teams to operate AI workflows

Workshop Format

Main Demonstration (20 minutes): Inside Agent #1 - Research & Scoring See how PromptLayer’s team architected their lead processing pipeline:

  • Live walkthrough of canonical URL resolution logic
  • Examination of parallel web scraping + LLM processing architecture
  • Analysis of relevance reasoning prompts and scoring algorithms
  • Deep-dive into branch gating decisions and cost trade-offs
  • Real debugging session of production prompt failures

Technical Deep-Dives (10 minutes): Refining the Rough Edges

  • Agent #2: Subject line generation with cascading QA loops
  • Agent #3: Template-based sequencing and why they removed QA here
  • Integration architecture with CRM systems and webhook patterns

All demonstrations use their actual production code and real performance data

Who Should Attend

Technical Audience Seeking Production Insights:

  • Senior engineers evaluating AI system architectures
  • Technical leaders planning AI implementations
  • ML engineers interested in production deployment patterns
  • Platform engineers supporting AI workloads
  • CTOs/Technical founders scaling AI-powered products

Speakers

Howard

Rheingold

Author
Tools for Thought
@hrheingold

Jared

Zoneraich

Founder
PromptLayer

Schedule

11:30 AM
Doors Open
12:00 PM
Welcome
with MC
12:10 PM – 12:20 PM
How Do We Define Tools for Thinking and Why Do They Matter?
Join Jerry Michalski and John Borthwick as they talk about their interest in tools for thinking, and what excites them the most about the future of the category.
12:20 PM – 12:50 PM
Inflection Points for Tools for Thinking
What are the key inflection points that will supercharge Tools for Thinking in the near future? How will new technologies, user metaphors, and funding models change how people build these tools? John Borthwick will be discussing how the landscape is changing with the co-founders of Readwise, Daniel Doyon & Tristan Homsi.
12:50 PM – 1:00 PM
Q+A
1:00 PM – 1:15 PM
Demo: Protocol Design for Tools for Thinking
Gordon Brander will be presenting a brief demo on Subconscious and the Noosphere, products he and his team are working on to allow Tools for Thinking to become interoperable and better connected.
1:15 PM – 2:00 PM
Lunch and Networking
2:00 PM – 2:45 PM
The History and Future of Software as Tools for Thinking
Some of the earliest examples of software explored by pioneers like Doug Engelbart, JCR Licklider, Alan Turing, and others were at their core technologies that help magnify, inspect, and spread our ideas. Jerry Michalski will be sitting down (virtually) with Howard Rheingold, author of Tools for Thought, to explore the history and future of "mind-amplifying technology".
2:45 PM – 3:00 PM
Q+A
3:00 PM – 4:00 PM
Tools for Thinking Product Demos
We’ll hear from builders and thinkers deep in the space and get to take a look at what they’re working on. We’ll be checking out Plexus, Re:Collect, Jerry’s Brain, Subconscious and more. 
4:15 PM – 4:45 PM
Leveraging AI and ML in Building New Tools for Thinking
Alice Albrecht and Linus Lee will be sitting down with Chris Pedregal to discuss their work in leveraging AI and Machine Learning for creating new kinds of tools for thinking.
4:45 PM – 5:00 PM
Q+A
5:00 PM – 5:30 PM
Idea Dimensionality and Representing Semantic Meaning
How do ideas - and the human brains that make and hold them - interact?  Get prepared for meta! Esther Dyson and Jerry Michalski, will discuss the idea of how people work together to shape, compare, intertwine and ultimately produce multi-faceted ideas and multi-dimensional idea spaces.  As David Waltz (Thinking Machines) once said, “Words are not in themselves carriers of meaning, but merely pointers to shared understanding.” Watch and lob questions as the two of them try to build and share the idea of how better ideas can be developed through collaboration.
5:30 PM – 5:45 PM
Q+A
5:45 PM – 7:00 PM
Closing and Happy Hour

Proof of Full Vaccination Required

Betaworks requires all visitors to show proof of full vaccination to enter. No exceptions. Two ways that you can show proof:
  • Official vaccine card with at least 2 weeks having passed since the date of the last required dose (1 dose for J&J/AstraZeneca, 2 for Pfizer/Moderna)
  • An active digital pass such as the NY State Excelsior Pass or the CLEAR app
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