Google Thinks PayPal Can Help It Dominate Agentic ShoppingTwo powerhouses in ecommerce will join forces as tech companies race to build AI agentic services, which some say will replace search engines as the starting point of shoppers’ journeys. Google tapped PayPal as a payment solution within Google’s core platforms, and PayPal will use Google AI to enhance its services and security, according to […]www.ecommercebytes.com

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Agentic AI in action: How Southeast Asia’s startups are turning constraints into strengthsStartups and SMEs in Southeast Asia are under constant pressure to do more with less. They face global competition, but with limited teams, tight budgets, and fragmented markets. Take trade shows: a sales team may return home with 300 business cards, yet a month later, more than 80 per cent of those contacts never even […]The post Agentic AI in action: How Southeast Asia’s startups are turning constraints into strengths appeared first on e27.e27.co

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Swiss agentic analytics platform Veezoo raises €5.1M to enhance data-driven decision making for businessesZurich-based Veezoo raises Series A funding to support its agentic analytics platform for data-driven questions and answers. Zurich-based Veezoo, a company focused on agentic analytics, announced a $6M (nearly €5.11M) Series A funding round led by ACE Ventures. The round included participation from investors such as former Tableau CEO Mark Nelson and Ted Kummert, former ... Read moresiliconcanals.com

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Top 10 Most Trusted Real Estate Agents in Connecticut for 2025Connecticut’s property market continues to attract national and international attention, from luxury estates along the shoreline to vibrant family neighborhoods inland. Buyers and sellers alike are turning to trusted agents with proven track records, transparent client relationships, and measurable results. The following ten real estate professionals have distinguished themselves in 2025 through consistent performance, credibility, […]The post Top 10 Most Trusted Real Estate Agents in Connecticut for 2025 appeared first on Grit Daily News.gritdaily.com

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Rome-based SylloTips secures €4.2M to let AI agents learn from your top employeesRome-based SylloTips, a software company, announced the closing of a €4.2M in a seed funding round led by Azimut through its Azimut Eltif – Venture Capital, ALIcrowd III and IV funds, which are managed by Azimut Libera Impresa SGR. Existing investors, including The Techshop, Techstars, and Cloud Accelerator, participated, along with new investor Leo Capital ... Read moresiliconcanals.com

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I Blame the AIYou call the airline to change your delayed flight. The agent says he can’t help—the computer won’t let him. You ask to speak to his manager. She says the same thing. You escalate to her manager. Same response. Everyone wants to help you. No one can. The system has decided, & the system doesn’t explain itself.This is what Dan Davies calls an accountability sink in The Unaccountability Machine.Accountability sinks are systems designed so that when things go wrong, no individual human can be held responsible for fixing them. He argues that “decisions are delegated to a complex rule book or set of standard procedures, making it impossible to identify the source of mistakes when they happen.”This often happens the larger the organization becomes. It’s a tactic to diffuse risk.With AI, this dynamic is likely to worsen. Quoting from the book, “In the future, ‘I blame the system’ is something we will have to get used to saying, and meaning it literally.”I blame the AI.When uttered, those words bring the world to a standstill like a Waymo stopped in the middle of a busy intersection. What’s the next step?It’s fortuitous then that the Founder Mode ethos has arisen at the same time as blaming the AI system. The essence of founder mode is the opposite of accountability sinks. All the responsibility falls to one person.““The extent to which you are able to change a decision is precisely the extent to which you can be accountable for it.” So designing accountable organizations mean defining roles & systems for people where they are accountable & can override the system’s output.In addition, Davies argues for feedback loops from the bottom to the top. Skip-level meetings where a manager’s manager meets with a team member is one example.But in the age of AI, that’s not enough. The digital reams of information racing through an organization may be too much to keep up with. If accountability sinks were a problem before this deluge, imagine the impact afterwards.Redesigning roles and AI systems with human overrides will be essential to ensuring accountability. At least for now, every key decision still needs a person behind it & maybe that’s enough to rebook quickly enough to get home for dinner.www.tomtunguz.com

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I Blame the AIYou call the airline to change your delayed flight. The agent says he can’t help—the computer won’t let him. You ask to speak to his manager. She says the same thing. You escalate to her manager. Same response. Everyone wants to help you. No one can. The system has decided, & the system doesn’t explain itself.This is what Dan Davies calls an accountability sink in The Unaccountability Machine.Accountability sinks are systems designed so that when things go wrong, no individual human can be held responsible for fixing them. He argues that “decisions are delegated to a complex rule book or set of standard procedures, making it impossible to identify the source of mistakes when they happen.”This often happens the larger the organization becomes. It’s a tactic to diffuse risk.With AI, this dynamic is likely to worsen. Quoting from the book, “In the future, ‘I blame the system’ is something we will have to get used to saying, and meaning it literally.”I blame the AI.When uttered, those words bring the world to a standstill like a Waymo stopped in the middle of a busy intersection. What’s the next step?It’s fortuitous then that the Founder Mode ethos has arisen at the same time as blaming the AI system. The essence of founder mode is the opposite of accountability sinks. All the responsibility falls to one person.““The extent to which you are able to change a decision is precisely the extent to which you can be accountable for it.” So designing accountable organizations mean defining roles & systems for people where they are accountable & can override the system’s output.In addition, Davies argues for feedback loops from the bottom to the top. Skip-level meetings where a manager’s manager meets with a team member is one example.But in the age of AI, that’s not enough. The digital reams of information racing through an organization may be too much to keep up with. If accountability sinks were a problem before this deluge, imagine the impact afterwards.Redesigning roles and AI systems with human overrides will be essential to ensuring accountability. At least for now, every key decision still needs a person behind it & maybe that’s enough to rebook quickly enough to get home for dinner.www.tomtunguz.com

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The rise of agentic AI: What CFOs and Founders need to knowEvery technology wave has its buzzwords. In the 2000s, it was “automation.” In the 2010s, “digital transformation.” In the 2020s, it’s shaping up to be agentic AI, AI systems that can act autonomously to complete tasks or make decisions. Unlike traditional AI models that respond only when prompted, agentic AI has the ability to initiate, […]The post The rise of agentic AI: What CFOs and Founders need to know appeared first on e27.e27.co

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The digital lag: How traditional consulting is failing to grasp the agentic AI revolutionThe rise of agentic AI presents a profound and dual-edged challenge to the traditional consulting industry, a sector that has long thrived now showing its age. While the technology offers the potential for unprecedented efficiency and new service lines, many consulting firms are grappling with an existential dilemma: their historical value proposition, built on the […]The post The digital lag: How traditional consulting is failing to grasp the agentic AI revolution appeared first on e27.e27.co

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Singapore tops global AI hiring charts: One in six jobs now reference AISingapore has solidified its position as a global artificial intelligence (AI) hub, according to new hiring data from Indeed. In August, the country recorded the world’s highest proportion of job postings referencing AI. This unprecedented adoption rate sees roughly one in six local job postings, including direct references to machine learning, generative AI, and agentic AI tools. Also […]The post Singapore tops global AI hiring charts: One in six jobs now reference AI appeared first on e27.e27.co

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Which Barriers Still Block Agentic AI Adoption?Agentic AI represents the next frontier in automated intelligence. Unlike traditional RPA (robotic process automation) or traditional GenAI,…www.vccafe.com

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New Ecommerce Tools: September 25, 2025New products and services this week address agentic commerce, multichannel fulfillment, email and SMS marketing, sales tax, sponsored ads, social commerce, AI assistants, and more.The post New Ecommerce Tools: September 25, 2025 appeared first on Practical Ecommerce.www.practicalecommerce.com

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AI Social Media Agents for Pest Control Companies [Start Today] People spot a problem, then grab their phones. Before they search, many ask neighbors in local groups, watch a short video, or read comments under a business post. That is your window. An AI social media agent can [...]The post AI Social Media Agents for Pest Control Companies [Start Today] appeared first on GlobalOwls.globalowls.com

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AI Agents for Gardening Companies – Get Found, Win Social, Book More JobsAI Agents for Gardening Companies - Get Found, Win Social, Book More Jobs Gardening demand is local and seasonal. One sunny weekend can flood your inbox, then things cool off fast. An AI agent keeps your marketing steady. It plans posts, writes captions, replies to messages, builds service [...]The post AI Agents for Gardening Companies – Get Found, Win Social, Book More Jobs appeared first on GlobalOwls.globalowls.com

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How AI Tools Become Your Content Creation Dream TeamThe small business owner is a professional juggler. You are the CEO, the head of marketing, the customer service agent, and the bookkeeper—all before lunch. In this resource-scarce environment, content creation is often the first thing to be pushed aside. You know you need to blog, post on social media, write compelling ad copy, and […]The post How AI Tools Become Your Content Creation Dream Team appeared first on Small Business Coach.www.smallbusinesscoach.org

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Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise SafetyI recently discovered Google’s Agent Development Kit (ADK) and its architectural patterns for building LLM-powered applications. While ADK is a Python framework, its core design principles proved transformative when applied to my existing Ruby toolkit ecosystem.The results? 60% token reduction, 94% success rates, and enterprise-grade safety guardrails across all operations.The Challenge: Tool Sprawl & Token InefficiencyMy workflow relied on dozens of specialized Ruby tools for email, research, and task management. Each tool had its own interface, error handling, and output format. A typical company research workflow looked like this:

# Before: Multiple tool calls, high token usageruby find_attio_company.rb stripe.com        # 150 tokensruby enrich_company.rb stripe.com            # 200 tokensruby validate_and_add_company.rb stripe.com  # 120 tokens# Total: 470 tokens, 3 tool calls, no safety validation

This approach had several problems:Context pollution: Each tool added to Claude’s contextToken waste: Verbose outputs designed for human readingNo safety checks: Sensitive data could leak throughError inconsistency: Each tool failed differentlyState loss: No memory between operationsEnter Google ADK PatternsThe Google ADK documentation revealed five key architectural patterns that could solve these issues:1. Unified Tool PatternSingle tools with multiple actions instead of separate tools per operation.2. Format Control SystemResponse formats optimized for different use cases:concise: 70-85% token reduction for chaining operationsdetailed: Full information for final displayids_only: 85-95% reduction for bulk operations3. Safety CallbacksInput validation and guardrails before operations execute.4. State ManagementPersistent memory across operations with intelligent caching.5. Tool DelegationSmart routing and batch processing capabilities.Implementation ResultsI implemented these patterns across three core tools, creating a modernized ecosystem:Enhanced Task ManagerSafety guardrails blocking sensitive keywordsRate limiting (30 ops/minute)Batch operations with validationState management for preferencesUnified Email ToolConsolidated 5 separate email tools into one interfaceSafety blocking for sensitive content and test domainsRate limiting (100 ops/hour)Contact state managementUnified Research ToolMulti-source aggregation (Harmonic, Attio APIs)Intelligent caching with TTLService-specific rate limitingBatch enrichment capabilitiesPerformance ImpactThe transformation delivered measurable improvements across all metrics:MetricBeforeAfterImprovementAverage Tokens45018060% reductionSuccess Rate87%94%8% improvementTools per Workflow3-5170% reductionSafety IncidentsCommonBlocked100% preventionCache Hit Rate0%30%Performance boostError RecoveryManualAutomaticBetter UXReal-World Example: Newsletter ProcessingHere’s a concrete before/after comparison showing the dramatic improvement:Before: Newsletter Processing Chain…www.tomtunguz.com

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Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise SafetyI recently discovered Google’s Agent Development Kit (ADK) and its architectural patterns for building LLM-powered applications. While ADK is a Python framework, its core design principles proved transformative when applied to my existing Ruby toolkit ecosystem.The results? 60% token reduction, 94% success rates, and enterprise-grade safety guardrails across all operations.The Challenge: Tool Sprawl & Token InefficiencyMy workflow relied on dozens of specialized Ruby tools for email, research, and task management. Each tool had its own interface, error handling, and output format. A typical company research workflow looked like this:

# Before: Multiple tool calls, high token usageruby find_attio_company.rb stripe.com        # 150 tokensruby enrich_company.rb stripe.com            # 200 tokensruby validate_and_add_company.rb stripe.com  # 120 tokens# Total: 470 tokens, 3 tool calls, no safety validation

This approach had several problems:Context pollution: Each tool added to Claude’s contextToken waste: Verbose outputs designed for human readingNo safety checks: Sensitive data could leak throughError inconsistency: Each tool failed differentlyState loss: No memory between operationsEnter Google ADK PatternsThe Google ADK documentation revealed five key architectural patterns that could solve these issues:1. Unified Tool PatternSingle tools with multiple actions instead of separate tools per operation.2. Format Control SystemResponse formats optimized for different use cases:concise: 70-85% token reduction for chaining operationsdetailed: Full information for final displayids_only: 85-95% reduction for bulk operations3. Safety CallbacksInput validation and guardrails before operations execute.4. State ManagementPersistent memory across operations with intelligent caching.5. Tool DelegationSmart routing and batch processing capabilities.Implementation ResultsI implemented these patterns across three core tools, creating a modernized ecosystem:Enhanced Task ManagerSafety guardrails blocking sensitive keywordsRate limiting (30 ops/minute)Batch operations with validationState management for preferencesUnified Email ToolConsolidated 5 separate email tools into one interfaceSafety blocking for sensitive content and test domainsRate limiting (100 ops/hour)Contact state managementUnified Research ToolMulti-source aggregation (Harmonic, Attio APIs)Intelligent caching with TTLService-specific rate limitingBatch enrichment capabilitiesPerformance ImpactThe transformation delivered measurable improvements across all metrics:MetricBeforeAfterImprovementAverage Tokens45018060% reductionSuccess Rate87%94%8% improvementTools per Workflow3-5170% reductionSafety IncidentsCommonBlocked100% preventionCache Hit Rate0%30%Performance boostError RecoveryManualAutomaticBetter UXReal-World Example: Newsletter ProcessingHere’s a concrete before/after comparison showing the dramatic improvement:Before: Newsletter Processing Chain…www.tomtunguz.com

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Paid, the AI agent ‘results-based billing’ startup from Manny Medina, raises huge $21M seedPaid offers an interesting contribution to the AI agentic world: a platform for so-called "results-based" billing.techcrunch.com

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Former Microsoft execs launch AI agents to end Excel-led financeMaximor has come out of stealth with a human-in-the-loop agentic platform that does the finance team's grunt work.techcrunch.com

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She's an Actor About to Be Signed By a Talent Agency. She's Also AI.The creators of Tilly Norwood, an "AI actress," think she can be the "next Natalie Portman."www.entrepreneur.com

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AI hires or human hustle? Inside the next frontier of startup operations at TechCrunch Disrupt 2025What happens when your first 10 hires aren’t people at all? At TechCrunch Disrupt 2025, we’re digging into the new wave of startups replacing or augmenting early employees with AI agents.techcrunch.com

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