by Dominik Nowakowski

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This past week, OpenAI introduced a major leap forward in how AI workflows can be created, embedded and managed. Their new AgentKit suite introduces tools such as Agent Builder, ChatKit and a Connector Registry for streamlined agent orchestration. At the same time they are expanding support for app integrations within ChatGPT which allows third party services to live inside conversational experiences.

For a digital studio like us this is not theoretical. It is a game changer. These new tools reduce friction, shorten implementation cycles and open up possibilities for embedding intelligent agents into the solutions we deliver. In this piece we unpack how this technology transforms the way we work with clients, how we are positioning ourselves ahead of the curve and what shifts we expect across the industry.

What Is New: App Builder and Agent Builder

AgentKit and Agent Builder

AgentKit is OpenAI all in one platform for creating, deploying and monitoring agents. At its heart is Agent Builder, a visual workflow canvas where we can compose multi agent logic through nodes and connectors, version workflows, preview runs and configure evaluation pipelines. It simplifies what was once months of custom code, orchestration, integration and UI work into something manageable within weeks or even sprints.

Supporting tools in the suite include:

• ChatKit for embedding conversational agents directly into products
• Connector Registry to manage tool integrations and data pipelines centrally
• Enhanced Evals and prompt optimization tools to measure and refine agent performance

OpenAI claims that Agent Builder can deliver 70 percent faster iteration cycles, 40 percent faster evaluation timelines, two weeks of front end work saved and up to 75 percent less development time for agentic workflows.

ChatGPT App Integration (SDK and Embedded Apps)

Alongside agents OpenAI is pushing forward with a vision of ChatGPT not just as a chatbot but as a platform into which apps can be integrated and invoked contextually. Developers can use a new SDK to build services that run inside the interface, enabling seamless and contextual experiences. Users can for example call a Canva app to generate a design or ask Zillow to show properties without leaving the conversation.

An app directory, monetization options and review mechanisms are being introduced to make this a production ecosystem.

Why This Matters for Our Work

These developments reshape how AI enabled products will be built and delivered. Here is how they directly impact what we do.

1. Faster Prototyping and Lower Risk

What used to take months of engineering can now be prototyped within days or weeks. That means we can help clients validate ideas faster, reduce sunk costs and focus investment where it truly matters.

2. Intelligent Feature Embedding

Instead of treating agents as bolt on experiences we can weave them directly into products as native, context aware features. ChatKit and connector tooling make this seamless, creating smoother user experiences and driving better adoption.

3. Better Governance, Measurement and Iteration

With built in evals, versioning and guardrails we can monitor agent behavior, detect drift or failure modes early and iterate safely. That matters for clients who need reliable and compliant AI infrastructure.

4. New Value Streams

This technology lets us help clients transition from traditional software products to agent enabled services. We can

• Automate internal workflows
• Embed smart copilots into SaaS tools
• Create subscription or usage based business models
• Connect data sources and tools into domain specific agents

With lower friction to deploy we can explore verticals that were previously too complex or costly.

5. Competitive Differentiation

Clients who adopt early will stand out by delivering proactive and intelligent experiences. Because we are investing in agent infrastructure now we can give them a head start in their markets.

How We Are Pre Empting the Shift

We are not treating this as a one off tool. It is a new core capability. Here is how we are positioning ourselves.

• Investing deeply in AgentKit expertise across design, engineering and strategy
• Running internal pilots to identify high impact use cases
• Expanding our positioning from digital design and build to innovation and intelligent systems
• Developing reusable agent patterns, connector templates and guardrails
• Building evaluation and safety frameworks for real world deployments

For us the agent layer becomes a natural extension of everything we already do.

Where the Industry Is Headed

We see several clear trends emerging from these changes.

Agents Become Core Infrastructure

Building an agent will become as routine as adding a payment gateway or authentication layer. They will live inside enterprise systems, SaaS platforms and internal workflows.

Conversational Platforms as the New OS

Conversational and agent interfaces will become the front door for many workflows. Users will express goals and agents will orchestrate behind the scenes.

Democratization of Agent Creation

With visual builders and no code tools domain experts will increasingly co design workflows. The bottleneck will move from coding to strategy, logic and governance.

Standards, Governance and Marketplaces

We will see standards for integration, marketplaces for agents and increasing regulation around transparency and safety.

New Talent and Process Models

Teams will need new skills in agent orchestration, evaluation science and continuous optimization. Product cycles will shorten, driven by live agent metrics.

Disruption and Competitive Pressure

Organizations that hesitate will find themselves outpaced by those who embrace this shift early. New entrants will build agent native products that leapfrog incumbents.

How Clients Can Prepare

The shift to agent powered products is already happening. The teams that embrace it early will build an advantage that compounds over time. This is not about chasing hype. It is about getting the right foundation in place before the market catches up.

It starts with identifying real opportunities inside existing products and workflows, then aligning data and systems to support intelligent layers. It continues with designing roadmaps that treat AI agents as a core capability rather than a late stage add on.

This is exactly where we come in. We help our clients move from idea to execution quickly and confidently, turning emerging technology into real product value. By working with us, they gain speed, expertise and a clear path to building intelligent products that last.

Conclusion

OpenAI new app and agent builder tools accelerate what was once the domain of research labs into everyday product development. For us this is a turning point. We can help clients build not just interfaces but intelligent systems that act, assist and adapt.

We believe the future of digital innovation is agent first. Those who move early will lead. We are already investing in the capabilities to make that future real, faster, safer and more human centric.

By Dominik Nowakowski

Principal Designer

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