Make

In a recent success story, U-Shin Buechelhofer-Kim, the AI Architect of U-Shin Group Agency (UGA), shared how he utilized Make to dramatically increase his client base from 100 to 300 without the need for additional staff. This transformation highlights the potential of automation tools for small business owners looking to scale efficiently.

Key Details:

• U-Shin completely restructured his talent representation process using Make.
• His efforts led to increased visibility and resulted in media attention, culminating in features about his innovative approach.
• U-Shin now conducts automation workshops for venture capital firms and their portfolio companies, aiming to reach a milestone of 1,000 clients.

Why It Matters:

By employing Make, U-Shin has shown that automation can effectively streamline processes without sacrificing the human touch in talent representation. This case demonstrates practical strategies small business owners can implement to enhance operations, grow their client base, and create value without the overhead of hiring additional personnel.

For more details, read the full story here.

Make has officially integrated Claude Sonnet 4.6, Anthropic's latest versatile AI model, into its automation platform. This new model aims to enhance user experience by streamlining daily tasks and scaling production efforts effectively. With this update, users can leverage the capabilities of Sonnet 4.6 for improved automation workflows.

Key Features of Claude Sonnet 4.6 in Make:

• Make AI Toolkit 'Simple text prompt': Enables a quick setup with no complex configurations required, allowing users to get started almost instantly.
• Anthropic Claude 'Create a prompt': Offers structured prompting options for more complex automation needs, making it easier to tailor responses and results.

This integration is significant for builders and developers looking to optimize their automation processes. By utilizing Claude Sonnet 4.6, users can achieve greater efficiency and effectiveness in their AI-driven projects, ultimately enhancing productivity across various applications.

Make, the official AI Automation Partner of Freestyle Chess, has recently engaged with renowned chess grandmasters Fabiano Caruana and Hans Niemann to explore the intersection of artificial intelligence and chess. This initiative aims to shed light on how AI is reshaping preparation and gameplay for professional players.

Key Highlights:

• AI Utilization: Discussion on whether grandmasters use AI in their preparation.
• AI Integration: Insight into manual tasks that could potentially be replaced or augmented by AI.
• Impact on Chess: Examination of how AI is changing the dynamics of chess as a competitive sport.

Through this partnership, Make underscores its commitment to innovating the field of automation and AI. By aligning with Freestyle Chess, the company not only enhances the visibility of chess but also exemplifies how traditional activities can be revolutionized by modern technology, similar to its own mission in redefining work processes.

This collaboration matters significantly for builders and developers as it reflects the transformative potential of AI across various sectors, encouraging the adoption of AI-driven solutions in diverse fields.

After collaborating with numerous organizations on AI transformation, Make has identified a four-stage framework that helps organizations effectively navigate their journey. This framework is elaborated upon in the newly launched Make AI Playbook.

The Four Stages of AI Transformation:

• Build: Experimentation occurs without structured guidance.
• Accelerate: Initial pilots demonstrate value, but adoption remains inconsistent.
• Scale: AI becomes systematically integrated across teams, promoting shared ownership and systems.
• Lead: AI agents are embedded in core workflows, fundamentally altering operational processes.

Each stage presents specific blockers that hinder progress to the next level. Organizations that recognize their current stage and address the key obstacle are more likely to advance rapidly.

Why It Matters: For builders and developers, understanding and applying the insights from the Make AI Playbook can streamline AI adoption, ultimately enhancing efficiency and innovation within their organizations.

Access the complete framework in the Make AI Playbook.

In a recent update, Make has introduced an innovative AI Agent designed to significantly improve email management for users. This new functionality, shared by Kevin Stratvert, the Founder of Stratvert Media, showcases how the AI Agent can streamline the handling of incoming emails without the need for adding more rules or folders.

Key Features of the Make AI Agent:

• Email Reading: The AI can read and understand incoming emails.
• Action Assessment: It decides whether each email requires action from the user.
• Draft Preparation: When necessary, it generates a draft reply.
• Decision Justification: The AI demonstrates the rationale behind its decisions, providing transparency.

This advancement is not limited to email management; it extends to various applications including handling support tickets, sales inquiries, and internal requests. By employing intelligent logic, the AI Agent caters to scenarios where inputs can become messy, moving beyond traditional rule-based systems.

This innovation is crucial for builders and developers as it saves time, enhances productivity, and increases the efficiency of managing communications across various platforms, paving the way for more intelligent automation solutions.

Make has announced an exciting update to its AI Agents, ensuring seamless integration directly into the scenario canvas. This development allows users to build, run, and debug agents in one efficient location, enhancing the overall workflow experience.

Key Features of the Latest Make AI Agents:

• Built-In Integration: AI Agents are now a part of the Scenario Builder, facilitating a unified workspace.
• Transparency: Users can access key insights, including:
  • What the agent decided
  • The reasoning behind those decisions
  • The specific tools utilized during the process
• Library of Agents: A new library of ready-made agents is now available, designed for real workflows. Users can easily adapt these examples instead of starting from scratch and share them with their teams.

This enhancement is crucial for builders and developers as it demystifies AI decision-making, improving transparency and control within automated workflows. With the new features, users can create more intuitive and effective solutions, driving productivity and collaboration further.

The Make AI World Tour has successfully engaged builders across various cities, demonstrating a strong community focused on practical automation and AI solutions. From Munich to Miami, participants came ready to collaborate and create during a series of meetups, workshops, hackathons, and build sessions.

Key Highlights from the Tour:

• Hands-on Automation: Live demonstrations of automation processes and AI agents.
• Practical Use Cases: Insights shared by builders and teams on effectively utilizing Make tools.
• Local Community Engagement: Strengthening connections within regional groups to showcase the potential of Make.

This tour emphasizes the growing interest in automation and AI among developers, showcasing real-world applications and fostering a collaborative environment for innovation. More cities and events are planned, indicating that Make continues to prioritize community engagement and knowledge sharing.
For a full list of upcoming events, visit: Upcoming Events

In a remarkable demonstration of the power of automation, Laurent Salomon, Head of Engineering at ChargeGuru, led a full system migration using Make, overcoming the constraints of traditional coding due to tight deadlines. This initiative not only achieved migration efficiency but also initiated a significant shift in the team’s approach towards automation.

Key Details:

• Tool Utilized: Make was employed to facilitate the migration.
• Team Collaboration: Different teams were unified into a single workflow, enhancing collaboration.
• Shifts in Mindset:
  • Developers recognized that visual automation can effectively manage complex tasks.
  • Non-technical teams began crafting their own automation solutions.
  • Automation evolved into a collective skill across the organization.

This successful implementation underscores the value of automation tools like Make in modern software development. By breaking down technical barriers and empowering all team members, ChargeGuru is setting a precedent for future collaborative automation efforts, which ultimately drives faster results and fosters innovation within teams.

Make has unveiled a significant update to its AI Agents, focusing on transforming how businesses utilize automation in their workflows. The newly reimagined AI Agents are designed to be more transparent, scalable, and user-friendly, aligning with real business needs rather than remaining as experimental tools.

Key Features of the Reimagined Make AI Agents:

• Visual-First Design: Built directly within the Make canvas to enhance usability and accessibility.
• Complete Transparency: Users can see the actions of the agent, understand its decision-making process, and observe its operations, fostering trust in automation.
• Ease of Scalability: Agents can be shared across teams and workflows without the need for duplicating efforts, streamlining collaboration.
• Real-World Application: Designed specifically for practical business processes, not just demonstrations, ensuring the solutions effectively run business operations.

This update is crucial for builders and developers as it equips them with transparent, trustworthy tools that integrate seamlessly into their existing workflows, driving efficiency and enhancing productivity across teams. With hands-on demos and resources on the horizon, users can expect to accelerate their building processes with these advanced AI capabilities.

Diederik Martens, CEO of Chapman Bright, illustrates how his sales and marketing team leverages Make and AI. By automating the preparation of curated customer profiles, the team saves time, allowing them to focus on engaging with potential customers. This approach leads to improved focus, quicker outreach, and more successful outcomes. Discover more about enhancing your team's efficiency with these tools.

Make has been announced as the official AI automation partner of Freestyle Chess, which aims to revolutionize competitive chess. The partnership will debut at the FIDE Freestyle Chess World Championship from February 13-15, featuring elite players like Magnus Carlsen. CEO Fabian Q. Veit highlighted the alignment in vision between both companies, focusing on innovation in their respective fields. Read the full press release for more details: https://ma.ke/4rrqOcy

Our latest meetup at HQ in Prague, co-hosted with the Engineering Leaders Community, explored how engineering teams are evolving in the age of AI. Speakers included Yoav Shmaria from Similarweb, Sara Maldon from Make, and Petr Kubelka from Mews, discussing scaling teams and embracing AI-driven talent strategies. Thank you to all who attended!

Anthropic's Claude Opus 4.6 is now available, featuring enhancements for handling extensive data and complex reasoning tasks. Users can test it instantly via the Make AI Toolkit with 'Simple text prompt' module, requiring no complex setup or API key. Alternatively, connect your Anthropic API key for structured prompts or to use full agentic workflows with Make AI Agents. Discover how this model can streamline your AI-powered automations.

Make has launched Credential Requests, allowing secure access to CRMs, HR systems, and payment gateways without exposing API keys. Users can generate secure links to request authentication, enabling seamless workflows while maintaining security compliance. This feature is now available for Enterprise plans and Make Partners. Learn more about how it enhances your automation processes.

78% of companies use AI but many lack a coherent strategy. Make says AI adoption follows a predictable four-stage journey and has launched the Make AI Playbook to provide instant maturity placement, a tailored roadmap with concrete next steps, and prioritized use cases to scale AI across teams.

Kofi D., an AI and no-code automation consultant, used Make integrated with Monday.com to implement advanced workflows—automating quote follow-ups, review follow-ups, quote generation, invoice generation, and more. These automations helped a client scale annual revenue from £110k to £550k by streamlining sales and billing processes.

Make AI Toolkit automates project intake by connecting JotForm, Notion, Asana, and Slack. Workflow: a request submitted via JotForm is reviewed by Make AI Toolkit for gaps, risks, and assumptions; a Notion project brief is created; an Asana task is added; the team is notified in Slack and the requester receives confirmation.

Make introduces Simple Text Prompt, a new module that adds AI to automations with no API keys, setup, or configuration. Drop the module into a scenario, enter a plain-text prompt, and run. Supports OpenAI, Claude, Gemini, and Groq. Ideal for summarizing, rewriting, idea generation, and integrating AI output into larger workflows.

Art Of Your Success automated order management with Make. The platform coordinates orders, inventory, fulfillment, customer messages, compliance, and local partner routing, enabling personalized customer notes and scaling without hiring extra staff.

Nocodehackers, a no-code learning platform, has helped over 25,000 students build and automate without coding. By joining Make’s Digital Education Program, Nocodehackers can offer students six months of the Make Core Plan at no cost, enhancing practical curriculum for academies teaching AI and automation.

Make published a how-to guide showing how to use its AI tools to automate customer feedback: collect survey submissions, detect sentiment, translate responses, flag issues, and route items to teams. The workflow reduces manual spreadsheet review and speeds up response and decision-making for feedback-driven teams.

Apify’s team uses Make AI Agents to scrape comments and mentions across social and review sites, perform sentiment analysis, and send Slack messages with recommended actions. The workflow highlights positive feedback to amplify, flags negative comments for early response, and turns customer quotes into actionable inputs for marketing and product teams.

Make is running a community challenge to demonstrate Make’s orchestration with Model Context Protocol (MCP) for scalable, robust workflows beyond simple automations. Prize package worth $18,000+ includes a Make Teams plan with 1,000,000 credits/month, a “Master of Make” badge, and a featured technical story. Submissions close Feb 3 (EOD).

Darin Patterson, Make’s VP of Market Strategy, breaks down when deterministic workflows still matter versus agent-led automation, how to avoid automation sprawl, and why visibility into agents is essential. The conversation includes real examples of AI agents built in Make and is available as an episode of The Neuron (YouTube, Spotify, Apple Podcasts).

Make says 2025 revealed real-world hurdles for AI agents—lack of clear use cases, control and predictability issues, and limited knowledge/context. After customer research and thousands of agent builds, Make is developing a more visual, transparent agent builder to improve predictability and workflow integration; coming soon.

Cloud platforms invest heavily in enterprise-grade security, offering robust protections without the operational overhead. Self-hosting means owning and securing the entire technology stack, which is resource-intensive and higher risk. When security, resources, and scalability matter, cloud-based automation typically has the advantage.

Make and Vapi webinar on Feb 4, 2026: Alexander Hinkle (Value Engineer, Make) demonstrates how Custom Tools move logic out of prompts to improve voice agent reliability and reduce cost. Topics: triggering outbound voice agents from systems of record, giving agents live access to real data during calls, and a live build using Custom Tools. Time: 5:00 PM CET | 11:00 AM EST | 8:00 AM PST. https://ma.ke/4qFZV4S