For me, one of the surprising things is that the codeex command line, that is something that I thought was as far as the UI should go because I love my terminal and if I have multiple agents working in parallel, I'll just have multiple tabs. Like that's what I'm used to. That's what I want to stick with.>> But the app changed my workflow in a surprising way because it becomes much easier to juggle conceptually multiple parallel threads of execution. And I think most people can handle maybe five maybe up to ...

Financial Data and Key Metrics Changes - In Q4 2025, Appian's cloud subscriptions revenue grew 18% to $117.0 million, while total revenue increased 22% to $202.9 million [3][24] - For the full year 2025, cloud subscriptions revenue grew 19% to $437.4 million, and total revenue grew 18% to $726.9 million [3][24] - Adjusted EBITDA for Q4 was $19.7 million, exceeding guidance, and for the full year, it was $76.8 million [3][24] Business Line Data and Key Metrics Changes - Professional services revenue in Q4 was $40.6 million, up 36% year-over-year [22] - The number of customers purchasing over $1 million of software grew 50% in 2025, indicating strong demand for large deals [4] - Cloud Net ARR Expansion was 114% in Q4, reflecting strong upsells to existing customers [23] Market Data and Key Metrics Changes - The commercial North America theater showed the fastest new business growth in over three years, with cloud net new ACV bookings at approximately 76% of total net new software bookings in Q4 [21] - AI use on the platform grew 14 times year-over-year, indicating significant traction in the market [10] Company Strategy and Development Direction - Appian's strategy focuses on leveraging AI within its process framework, emphasizing the synergy between AI and process management [8][9] - The company aims to capitalize on its strong position in the U.S. public sector, highlighted by a significant enterprise agreement with the U.S. Army [6][55] - Appian is committed to returning capital to shareholders, announcing a $50 million stock buyback program [7][30] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the growth trajectory for 2026, expecting cloud subscription revenue to grow by 20% in Q1 and 16% for the full year [26][27] - The company noted that AI has positively impacted customer relationships, leading to higher-level conversations and improved win rates [48] Other Important Information - Changes in financial reporting include the introduction of Cloud Net ARR Expansion as a new metric and reclassification of certain expenses for better comparability with industry standards [18][19] - The company is investing in sales capacity and engineering resources to support growth while maintaining a focus on operational efficiency [29][76] Q&A Session Summary Question: Insights on Q1 guidance acceleration - Management indicated that Q1 guidance benefits from strong new business in Q4 and a favorable FX tailwind [34][35] Question: Appian's position in AI governance - Management highlighted that Appian has been a leader in embedding AI within processes for over a decade, providing a strong governance layer for AI applications [39][40] Question: AI's impact on customer budgets - Management noted that AI has opened higher-level conversations with customers, positively affecting their total addressable market and win rates [48] Question: Future of professional services growth - Management expects continued growth in professional services, driven by demand for AI implementation and federal contracts [66] Question: Cloud growth guidance concerns - Management clarified that the cloud growth guidance reflects a strong underlying business, with FX contributing to the Q1 boost [81]

As of recently, especially with the introduction of the worktrees within the app, I've kind of started delegating a lot more work than I did before and working on multiple tasks in parallel, which has kind of taken a little bit of a shift of mindset. Can you show me like an example of what that looks like of working in parallel or what your workflow overall in the app looks like. So one of the features I actually wanted to add was the ability to sort my pin tasks. So in the worktree, we do have the ability ...

Core Insights - ServiceNow reported a significant increase in usage of its Now Assist platform, with a 55-fold growth since May, indicating strong demand and potential for monetization in upcoming quarters [1][8][10] - The company is on track to exceed $500 million in Annual Contract Value (ACV) for Now Assist by year-end, ahead of previous expectations, and is aiming for a $1 billion target next year [1][12][23] - The revenue for Q3 2025 reached $3.407 billion, a year-over-year increase of 21.81%, with net profit at $502 million, up 16.20% [2][6] Financial Performance - Q3 2025 revenue was $3.407 billion, representing a 21.81% year-over-year growth [2] - Net profit for the same quarter was $502 million, reflecting a 16.20% increase year-over-year [2] - Basic EPS for Q3 was $2.42, up 15.79% year-over-year [2] Product Development and Market Strategy - The company has integrated AI capabilities into over 100 prepackaged workflows, allowing customers to quickly adopt and implement these solutions [4][5] - ServiceNow's AI Control Tower is becoming a core offering, addressing customer needs for governance and compliance in AI deployment [16][24] - The company is focusing on industry-specific solutions, tailoring offerings to sectors like healthcare, finance, and retail, enhancing customer engagement and satisfaction [14][15] Customer Engagement and Adoption - Currently, 1,700 customers are utilizing Now Assist, with daily increases in adoption [2][10] - The company has observed a shift in customer behavior, with clients moving away from pilot projects to fully integrated solutions, indicating a growing trust in ServiceNow's platform [10][12] - Notable customer success stories include Lenovo and Bell Canada, showcasing significant improvements in operational efficiency and customer satisfaction through the use of Now Assist [11][18] Future Outlook - The company anticipates continued strong demand in the federal sector, with a net new ACV growth of over 30% year-over-year [6][13] - ServiceNow is confident in its ability to maintain a robust growth trajectory, supported by its AI capabilities and industry-specific solutions [26][27] - The company is committed to investing in its AI initiatives, which are expected to drive further operational efficiencies and profit margin expansion [26][27]

Financial Data and Key Metrics Changes - Subscription revenue for Q3 2025 was $3.299 billion, growing 20.5% year over year in constant currency, exceeding guidance by 100 basis points [20] - Remaining performance obligations (RPO) ended at approximately $24.3 billion, representing 23% year over year constant currency growth [20] - Current RPO was $11.35 billion, reflecting 20.5% year over year constant currency growth, beating guidance by 250 basis points [20] - Non-GAAP operating margin was 33.5%, 300 basis points above guidance, driven by top-line outperformance and operational efficiencies [23] - Free cash flow margin was 17.5%, up 50 basis points year over year [23] Business Line Data and Key Metrics Changes - Now Assist had 12 deals over $1 million in net new ACV, including one over $10 million, indicating strong performance [22] - IT Service Management (ITSM) and HR Plus net new ACV doubled quarter over quarter, while IT Operations Management (ITOM) Plus net new ACV surged more than 5x quarter over quarter [22] - Customer Service Management (CSM) Plus deal volume tripled year over year [22] Market Data and Key Metrics Changes - The transportation and logistics sector led growth with over 90% year over year increase in net new ACV, followed by retail, hospitality, and education sectors, both growing over 50% [21] - The U.S. Federal business grew net new ACV over 30% year over year, showcasing strong demand in the government sector [21] Company Strategy and Development Direction - The company is focusing on AI business transformation, with a target of exceeding $1 billion in AI products ACV by 2026 [7][22] - ServiceNow is positioning itself as a leader in enterprise AI, integrating various technologies to provide comprehensive solutions [10][19] - The company is raising guidance for Q4 and full-year 2025, reflecting confidence in its growth trajectory and market opportunities [7][24] Management's Comments on Operating Environment and Future Outlook - Management expressed strong confidence in the future, highlighting the significant market opportunity for the platform and the ongoing demand for AI solutions [6][7] - The company acknowledged potential impacts from the ongoing government shutdown on deal timing in the U.S. Federal business for Q4 [26] Other Important Information - The Board of Directors approved a five-for-one stock split to make shares more accessible to a broader base of investors [24] - The company ended Q3 with $9.7 billion in cash and investments, indicating a robust balance sheet [23] Q&A Session Summary Question: Integration and Implementation of Agentic Technology - Bill McDermott discussed the importance of integration expertise and the role of external partners in successfully implementing agentic technology [30][31] Question: Broader Sales Organization and AI Solutions - Amit Zavery confirmed that the sales organization is becoming more adept at selling AI solutions, with a growing number of customers live on the platform [41] Question: Federal Government Shutdown Impact - Gina Mastantuono explained that while demand remains strong, the government shutdown has led to a more prudent approach in guidance [45][46] Question: Demand Trends and AI Consumption - Bill McDermott highlighted strong demand trends and the significant growth in AI consumption, particularly in the context of customer engagement [50][51] Question: MoveWorks Acquisition Update - Gina Mastantuono provided an update on the expected closing of the MoveWorks deal, emphasizing that current successes are independent of this acquisition [75] Question: AI Control Tower Demand - Amit Zavery noted that the AI Control Tower is gaining significant interest from customers concerned about managing AI security and compliance [80]

Financial Data and Key Metrics Changes - Subscription revenue for Q3 2025 was $3.299 billion, growing 20.5% year over year in constant currency, exceeding guidance by 100 basis points [19] - Remaining performance obligations (RPO) ended at approximately $24.3 billion, representing 23% year over year constant currency growth [19] - Current RPO was $11.35 billion, reflecting 20.5% year over year constant currency growth, beating guidance by 250 basis points [19] - Non-GAAP operating margin was 33.5%, 300 basis points above guidance, driven by top-line outperformance and operational efficiencies [22] - Free cash flow margin was 17.5%, up 50 basis points year over year [22] Business Line Data and Key Metrics Changes - Now Assist had 12 deals over $1 million in net new ACV, including one over $10 million, indicating strong performance in AI products [21] - IT Service Management and HR Plus net new ACV doubled quarter over quarter, while IT Operations Management Plus surged more than 5x quarter over quarter [21] - Customer Service Management Plus deal volume tripled year over year, showcasing significant growth in CRM solutions [21] Market Data and Key Metrics Changes - Transportation and logistics led the way with over 90% year over year growth in net new ACV, followed by retail, hospitality, and education, both growing over 50% [20] - U.S. Federal business grew net new ACV over 30% year over year, demonstrating strong demand in the government sector [20] Company Strategy and Development Direction - The company is focusing on AI business transformation, with a target of exceeding $1 billion in AI products ACV by 2026 [6][21] - The introduction of the AI Control Tower aims to provide governance and management for AI initiatives, addressing customer concerns about security and compliance [76][79] - The company is enhancing its platform with industry-specific solutions, leveraging partnerships to build tailored offerings for sectors like financial services and retail [67][68] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the future, raising guidance for Q4 and full-year 2025 based on strong Q3 performance [4][24] - The ongoing government shutdown may impact deal timing in the U.S. federal business, but demand remains strong [24][42] - The company is experiencing a cultural shift towards AI adoption internally, enhancing operational efficiencies and employee satisfaction [39] Other Important Information - The Board of Directors approved a five-for-one stock split to make shares more accessible to a broader base of investors [23] - The company ended Q3 with $9.7 billion in cash and investments, indicating a robust financial position [22] Q&A Session Summary Question: Integration and implementation of agentic technology - Management acknowledged the need for integration expertise and mentioned plans to invest in forward-deployed engineers to assist customers [28][33] Question: Broader sales organization and partner base for AI solutions - Management confirmed that the sales organization is becoming more adept at selling AI solutions, with a significant increase in customer assists [37][38] Question: Impact of government shutdown on guidance - Management noted that while demand remains strong, they have factored in prudence regarding the timing of federal deals due to the shutdown [41][42] Question: Consumption trends and AI credits - Management highlighted a 55x growth in assists since May, indicating strong customer engagement and usage of AI solutions [52][58] Question: Demand for AI Control Tower - Management reported a 4x growth in customer interest for the AI Control Tower, emphasizing its importance for managing AI initiatives [76][79]

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. https://t.co/XSbmekHfM6Avi Chawla (@_avichawla):Let's build a context engineering workflow, step by step: ...

但 LangChain 创始人 Harrison Chase 对于 OpenAI 在文中的一些观点持有异议，尤其是「通过 LLMs 来主导 Agent」的路线，迅速发表了一篇长文回 应。 Harrison Chase 认为，并非要通过严格的「二元论」来区分 Agent，目前我们看到大多数的「Agentic 系统」都是 Workflows 和 Agents 的结合。理想 的 Agent 框架应该允许从「结构化工作流」逐步过渡到「由模型驱动」，并在两者之间灵活切换。 相比 OpenAI 的文章，Harrison Chase 更认同 Anthropic 此前发布的如何构建高效 Agents 的文章，对于 Agent 的定义，Anthropic 提出了「Agentic 系 统」的概念，并且把 Workflows 和 Agents 都看作是其不同表现形式。 总的来说， 这是大模型派（Big Model）和工作流派（Big Workflow）的又一次争锋， 前者认为每次模型升级都可能让精心设计的工作流瞬间过 时，这种「苦涩的教训」让他们更倾向于构建通用型、结构最少的智能体系统。而以 LangGraph 为代表的后者，强调 ...