April 29, 2025

Reforge Reduces AI Deployment from 1 Month to 1 Week Using Adaline

Empowering Teams, Accelerating Innovation: Reforge's Journey to Streamlined AI Operations

Reforge leveraged Adaline to drastically reduce development timelines and enable non-technical teams to contribute directly to AI product evolution. By unifying prompt iteration, deployment, and monitoring into a single collaborative environment, Reforge eliminated operational bottlenecks and streamlined cross-functional collaboration. Within just one day of implementation, Reforge experienced immediate productivity gains and operational efficiencies, setting the stage for rapid innovation and growth.

Key Results

  • 1 week implementation time for a major recommendation system update (previously estimated at 1 month), accelerating time-to-market.
  • Non-technical team members now independently manage and deploy AI features, democratizing AI product development.
  • Significant reduction in engineering involvement, freeing up resources for strategic initiatives and innovation.

Reforge’s adoption of Adaline revolutionized its AI product development by:

  • Unifying fragmented workflows into an intuitive, all-in-one platform, cutting iteration cycles by up to 50x.
  • Empowering cross-functional teams to collaborate seamlessly, reducing dependencies on engineering.

Increasing operational efficiency through real-time observability and hot-swap deployments, enabling rapid iteration without downtime.

The thing that we’re using Adaline to do is manage the prompts for our various software features and end and AI features
— Dan Wolchonok, VP of New Products at Reforge, highlighted the transformative impact.

With Adaline, Reforge is poised to continue leading in the competitive AI-driven product landscape, driving growth and innovation with unmatched agility and speed.

Dev & AI Ops Inefficiencies Hindering Innovation

Before adopting Adaline, Reforge faced significant operational challenges that slowed down product development and stifled innovation cycles. Fragmented workflows and manual processes created bottlenecks that impacted productivity and limited the team’s agility in deploying new AI features.

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    Slow Iteration Cycles

    Updating recommendations and deploying new features required heavy engineering involvement, delaying product iterations and slowing time-to-market.
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    Fragmented AI Workflows

    Prompts were stored across LaunchDarkly and code, preventing non-technical team members from contributing to AI product development and limiting cross-functional collaboration.
  3. 3

    Operational Bottlenecks

    Engineers were overwhelmed with routine code changes, reducing overall productivity and slowing down the pace of innovation.
A bunch of it with the prompts were in code... and I just didn’t enjoy that process. The biggest thing for us was having logging tied to the data we have... we haven’t been logging customer data, but it’s very helpful for our own internal testing.
— Dan Wolchonok, VP of New Products at Reforge, highlighted the pain points.

These challenges underscored the need for a unified AI workflow management platform that could streamline iteration cycles, enhance cross-functional collaboration, and enable faster product deployment.

Streamlined AI Development and Deployment

Revolutionizing AI Development with Adaline

Adaline revolutionized Reforge’s AI workflows by centralizing prompt iteration, testing, and deployment into a single, collaborative environment. This eliminated the need for routine code changes and empowered non-technical teams to actively participate in AI product evolution, while engineers were freed to focus on strategic initiatives and innovation.

  1. 1

    Prompt Iteration & Testing

    Enabled rapid iteration cycles using Playground and Editor tools, accelerating development speed and reducing time-to-market.
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    Instant Deployment

    Hot-Swap Deployments empowered non-technical team members to implement updates without requiring engineering involvement, democratizing AI product development.
  3. 3

    Real-Time Monitoring & Observability

    Advanced logging and analytics provided comprehensive insights into prompt performance and model outputs, streamlining the evaluation process and enhancing decision-making.
One of the things that was most helpful for us is being able to load those really quickly and then iterate on the prompts, and also deploy new versions of prompts, is really helpful. Everyone is an engineer with tools like Replit. But for real big production apps... it's very helpful to now allow multiple different personas to contribute.
— Dan Wolchonok, VP of New Products at Reforge, emphasized the transformative impact.

By centralizing its AI workflows with Adaline, Reforge was able to accelerate product iterations, reduce dependencies on engineering, and foster cross-functional collaboration.

Rapid and Seamless Onboarding

Reforge integrated Adaline within just 1 day, demonstrating its user-friendly setup and seamless compatibility with the existing tech stack, which included:

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    Amplitude
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    Cursor

This streamlined onboarding process allowed Reforge to immediately leverage Adaline's powerful features without any significant learning curve or technical challenges, accelerating time-to-value.

The onboarding was incredibly smooth. We got everything up and running in just one day, and the team was able to start experimenting with prompts right away. It was one of the fastest and most efficient implementations we’ve ever done.
— Dan Wolchonok shared his experience.

This rapid deployment enabled Reforge to begin iterating on AI features almost immediately, driving agility and enhancing productivity across the team.

Transformative Business Impact and ROI

Adaline delivered significant value to Reforge by accelerating time-to-market, enhancing cross-functional collaboration, and increasing operational efficiency. The platform’s all-in-one approach unified fragmented workflows and empowered teams to iterate rapidly, leading to measurable productivity gains and strategic innovation.

Accelerated Time-to-Market

Adaline drastically reduced Reforge's implementation timelines, enabling faster product iterations and accelerating time-to-market:

  • 1 week implementation for a major recommendation system update, down from an estimated 1 month, speeding up product cycles and driving agility.
  • Non-technical content team members gained the ability to independently manage AI features, democratizing AI product development and fostering a more agile and creative workflow.
We revamped our entire way our org worked... It went from probably taking well over a month to someone taking a week to go and do that work.
— Dan Wolchonok, VP of New Products at Reforge, emphasized the time savings.

By streamlining the development cycle, Adaline enabled Reforge to bring features to market faster, enhancing competitiveness and growth.

Enhanced Cross-Functional Collaboration

Adaline’s unified collaboration environment empowered multiple personas, including non-technical content experts, to contribute directly to AI product evolution:

  • Product team gained direct control over changes, reducing dependency on engineering and expediting iteration cycles.
  • Seamless communication and collaboration were facilitated across teams, driving productivity and creativity through a centralized workspace.
The product team is now much more involved in being able to make changes... It used to take us a week to find examples, load them into an environment, edit our prompts, test it across our evals, and then ship an update via engineering, but now we can do it instantly
— Dan described the cultural shift brought about by Adaline.

This democratization of AI development enhanced cross-functional agility and collaboration, enabling teams to iterate rapidly and deliver impactful solutions.

Increased Operational Efficiency

Adaline’s advanced logging and version control features significantly streamlined prompt iteration, testing, and deployment, resulting in:

  • Engineers freed from routine code changes, allowing them to focus on strategic initiatives and drive continuous innovation.
  • Seamless iteration cycles powered by advanced logging capabilities, enhancing decision-making through comprehensive insights into prompt performance and model outputs.
One of the biggest things for us has been logging our own data. It enables non-engineers to capture their test data and iterate on their prompts without having to run our development app locally or tail a staging environment’s logs
— Dan highlighted the operational impact.

By reducing operational bottlenecks and streamlining workflows, Adaline maximized productivity and allowed Reforge to optimize resource allocation, driving greater impact and scalability.

Why Reforge Chose Adaline

Reforge strategically selected Adaline to streamline AI workflows, enhance team collaboration, and maximize operational efficiency, enabling them to rapidly scale AI product development while maintaining agility and innovation.

  1. 1

    Centralized AI Workflow Management

    Consolidated prompt iteration, testing, and deployment into a unified system, eliminating fragmented processes and reducing complexity. This allowed Reforge to accelerate iteration cycles and improve productivity across teams.
  2. 2

    Cost Efficiency

    Avoided the need for expensive in-house solutions, enabling rapid scalability while minimizing operational costs. Adaline’s all-in-one platform significantly reduced development overheads and optimized resource allocation.
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    User-Friendly Interface

    Empowered non-technical team members to independently manage and deploy AI features without engineering involvement, driving greater cross-functional collaboration and democratizing AI product development.
The thing that we’re using Adaline to do is manage the prompts for our various software features and end and AI features.
— Dan Wolchonok, VP of New Products at Reforge, summarized Adaline’s impact.

By eliminating operational bottlenecks and centralizing AI workflows, Adaline enabled Reforge to iterate rapidly, reduce time-to-market, and maintain a competitive edge in the fast-evolving AI landscape.

Looking Ahead: Scaling with Adaline

Reforge is committed to deepening its integration with Adaline to further accelerate innovation and maintain its competitive advantage. The roadmap includes:

  1. 1

    Exploring Advanced Models

    Evaluating new models such as Claude for tone optimization and Groq for latency improvements to enhance user experiences and drive superior product outcomes.
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    Empowering Cross-Functional Teams

    Continuing to democratize AI product development by leveraging Adaline’s user-friendly interface and collaborative workspace, ensuring rapid iteration cycles and seamless team collaboration.
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    Driving Strategic Decision-Making

    Utilizing Adaline’s comprehensive logging and analytics capabilities to inform data-driven decisions and accelerate product innovation, positioning Reforge as a leader in AI-driven product development.

This strategic partnership with Adaline enables Reforge to scale with confidence, innovate rapidly, and maintain agility in a competitive market, solidifying its position as an industry leader.