Microsoft's new Copilot Studio trades structured control for powerful agent creation

The latest Copilot Studio, announced at MSFT BUILD 26, overhauls agent building with a Claude-powered orchestrator and dynamic 'Skills', but removes the structured 'Topics' feature, fundamentally shifting the developer experience.

The Answer Up Front

This new version of Copilot Studio is for developers comfortable with a more dynamic, prompt-driven approach to building agents, especially those needing direct Python and Bash access. Teams that relied heavily on the rigid, tree-based conversational logic of the old "Topics" feature should approach with caution or wait for the platform to mature. The bottom line: Copilot Studio is now a more powerful, less predictable tool for building complex, autonomous agents, moving away from the guardrails of simple chatbots.

Methodology

This is a v0 review of Microsoft Copilot Studio (the version announced at MSFT BUILD 26 in mid-2026). It draws entirely on a single, detailed first-look analysis published by a developer on dev.to. The source URL is: https://dev.to/balagmadhu/navigating-the-new-copilot-studio-a-good-bad-and-nitty-gritty-first-look-1843.

This review covers the author's reported features, user experience observations, and critiques of the new platform. We are treating these as claims about the tool's behavior. What is not covered is any independent benchmarking of performance, such as the latency of the new orchestrator, the reliability of the cross-session "Memory" feature, or a direct comparison against competing agent-building frameworks. Our update cadence is to re-test when a tool's published claims diverge from observed behavior in the market, or when we can dedicate resources to a full benchmark.

What It Does

Based on the initial developer report, the new Copilot Studio introduces several significant architectural changes focused on building more capable AI agents.

A Claude-powered orchestrator

The core of the new studio is a powerful orchestrator, reportedly powered by Claude. This provides agents with direct access to Bash, Python, and Node environments, allowing for complex scripting and integrations that were not previously possible. The orchestrator includes built-in skills for common document processing tasks, including data extraction from Excel, CSV, PDF, DOCX, and PowerPoint files. It can also generate downloadable HTML and Excel files directly from agent interactions without manual coding by the developer.

Dynamic 'Skills' and 'Workflows'

The platform replaces static conversational trees with a new concept called "Skills," which encapsulate agent capabilities. A key feature is the ability to refine these skills using natural language prompts in a preview mode. The agent then automatically generates the underlying skill.md file, aiming to simplify the development of complex logic. Separately, Power Automate flows have been replaced by "Workflows," which support sequenced actions, conditional branching, and loops, providing a more structured environment for building out agent logic and triggering autonomous processes.

Enhanced context and knowledge

A new "Memory" feature allows agents to recall user preferences and conversational context across multiple sessions, reducing repetitive user input. For external knowledge, a prominent "Public Websites" toggle enables agents to access information via Bing search. While a direct Dataverse knowledge option was removed, the platform allows developers to upload unstructured PDFs as knowledge sources, adding versatility for private data integration.

What's Interesting / What's Not

The most interesting aspect of this overhaul is Microsoft's clear pivot from structured chatbots to more autonomous agents. The integration of a Claude orchestrator with direct shell and scripting access is a significant capability upgrade. It moves Copilot Studio into a different competitive set, challenging more specialized open-source agent frameworks. The ability to refine "Skills" with natural language is a genuine attempt to lower the barrier to entry for creating sophisticated agent behaviors.

What's not interesting, and is in fact a major concern, is the complete removal of "Topics." This feature was the foundation for building guided, predictable user experiences like support bots or structured information gathering. Its absence represents a philosophical shift away from controlled conversation design. For teams that need to guarantee specific conversational paths and outcomes, this is a major regression. The new workflow, which drops a user directly into the build canvas without a "Solution-First" setup, further signals a move away from structured, enterprise-style development. Microsoft is betting that its users want to build powerful but less predictable agents, not just better chatbots. It's a bold, and potentially alienating, choice.

Pricing

The source analysis from June 2026 does not include pricing details for the new Copilot Studio. This information is critical for a complete evaluation and would be a primary focus of a v2 review.

Verdict

The new Copilot Studio is a deliberate bet on the future of autonomous, tool-using agents over the present of structured, conversational bots. Developers who want to give agents more autonomy and integrate complex scripts will find the new Claude-powered orchestrator a compelling reason to adopt the platform. However, teams that require highly controlled, predictable conversational flows for customer service or guided tasks will likely find the removal of "Topics" to be a deal-breaker. This is now a tool for builders who are comfortable with emergence, not for designers who require precise control.

What We'd Test Next

For a v2 review, we would prioritize independent benchmarks. First, we would measure the latency of the Claude orchestrator, particularly the overhead of calling out to Python and Bash scripts for real-world tasks. Second, we would test the robustness of the "Memory" feature across complex, multi-turn conversations to determine its practical limits. Third, we would build a moderately complex support agent in both the new and old Studio to quantify the workflow impact of losing "Topics." Finally, we would evaluate the quality and maintainability of the skill.md files generated via natural language prompting.

The investor read

Microsoft is repositioning Copilot Studio from a low-code chatbot builder (competing with Google's Dialogflow or Rasa) to a more sophisticated agent-building platform. The integration of a powerful orchestrator (Claude) with direct code execution signals a move upmarket, targeting developers building complex internal tools and autonomous workflows. This competes more directly with frameworks like LangChain or CrewAI, but with the backing of the Microsoft enterprise ecosystem. The removal of the 'Topics' feature is a deliberate shedding of the legacy chatbot market in favor of the higher-value agent market. The key risk is whether the developer experience is flexible enough to win over engineers who might otherwise build from scratch with open-source libraries. Success depends on proving its integrated, managed environment is more productive than OSS alternatives.

Pull quote: “The bottom line: Copilot Studio is now a more powerful, less predictable tool for building complex, autonomous agents, moving away from the guardrails of simple chatbots.”