by Ferry Bayu | Nov 10, 2026 | Business
Kravos AI has introduced a zero-infrastructure approach to AI agent deployment, aimed at solving the severe engineering bottlenecks that frequently stall organizational AI initiatives. By eliminating the complex manual setup and maintenance of underlying software infrastructure, Kravos AI enables businesses to transition from initial concept to production-ready deployments in minutes rather than months.
Overcoming the Custom Coding Bottleneck
Building bespoke AI agents in-house traditionally presents a major technical hurdle for software development teams. Backend engineers are typically required to architect complex data pipelines, configure and tune vector databases, establish state management, handle multi-API orchestration, and maintain cloud servers alongside fallback logic. This infrastructure workload frequently ties up high-value engineering talent for months on basic maintenance tasks rather than core business logic.
Kravos AI resolves this friction by delivering a platform that completely abstracts the backend infrastructure requirements. The zero-infrastructure architecture manages all fundamental data hosting, vector indexing, and orchestration layers automatically, allowing teams to skip weeks of foundational coding.
Empowering Engineers and Non-Technical Operators
The Kravos AI platform allows both backend engineers and non-technical business operators to seamlessly configure and deploy grounded agents. Users can upload primary data sources, assign specific functional capabilities, and define execution rules without writing complex infrastructure code. Grounding and context resolution are performed natively within the platform.
By unifying agent creation into a streamlined workflow, cross-functional teams can iterate rapidly. Business units can update domain context and agent tasks independently, while engineering teams avoid the ongoing maintenance burden of managing custom-built backend scripts.
Accelerating Product Delivery and Efficiency
Removing the infrastructure barrier provides immediate advantages in time-to-market and operational resource allocation. Organizations using Kravos AI can deploy intelligent agent solutions faster, lower development overhead, and focus engineering hours on high-impact internal projects.
To explore the Kravos AI platform and learn more about deploying zero-infrastructure AI agents, visit www.kravos.ai.
by Ferry Bayu | Nov 10, 2026 | Business
ShopSlayer, an AI-powered TikTok Shop affiliate platform, has passed 5,300 affiliates and 100 brand campaigns four months after launching in July 2026. Brands including Human Nature, BYS, Wellspring and QUICKFX have run campaigns on the platform, and for many of its affiliates, a ShopSlayer campaign was the first brand campaign they had ever been accepted into.
ShopSlayer matches TikTok Shop brands with affiliates who sell. A brand posts a campaign brief with the product, the free sample and the commission rate. Affiliates opt in, receive the sample, post videos on TikTok and earn commission on every sale made through TikTok Shop.
The platform has launched more than 100 brand campaigns since July, with the largest coming from Human Nature, BYS, Wellspring and QUICKFX. Campaigns have filled with affiliates in as fast as three days, and new campaigns open on the platform every week.
“Every affiliate on ShopSlayer can see which brands are running campaigns right now and opt in the same day,” said Bianca Cruz Azurin, co-founder of ShopSlayer. “Most of them had never been accepted into a brand campaign before. Getting the first one, and subsequently their first payout, is what turns someone who posts on TikTok into an affiliate. That is what the platform is for.”
How to become a TikTok affiliate in the Philippines
To become a TikTok affiliate in the Philippines, you need to be at least 18, have a TikTok account in good standing and be approved for TikTok Shop’s affiliate program. TikTok sets a minimum follower count that varies by market and changes over time. Once approved, you can tag products in your videos and LIVE streams and earn a commission on each sale.
ShopSlayer sits on top of that program. Approved affiliates of any follower count can join free at shopslayer.ai, browse the brand campaigns that are open right now and opt in to the briefs that fit their content.
This is how it works:
1) Get approved as a TikTok Shop affiliate. Create a free ShopSlayer affiliate account at shopslayer.ai.
2) Set up your profile so brands can see your niche and past videos.
3) Browse open campaigns and opt in to the briefs that match your content.
4) Receive the free sample, post within the brief’s timeline and earn commission on every sale through your TikTok Shop link.
“TikTok is the best place right now for a brand to work with hundreds of affiliates at once, because the sample request, the video creation, and the checkout all happen in one app,” said Miggy Azurin, co-founder of ShopSlayer. “We’re building for the long haul. The more affiliates who know how to sell, the better it works for brands, so the platform has to keep campaigns open for people who are just starting.”
How to get your first campaign on TikTok
The fastest way to get your first brand campaign on TikTok is to join a platform where brands are already running campaigns open to affiliates of any size, instead of pitching brands one by one. On ShopSlayer, more than 100 campaigns have opened since July 2026. Each brief lists the product, the sample and the commission up front, and affiliates who match the brief can opt in without a prior track record.
How to earn your first commission on TikTok
You earn a TikTok affiliate commission when a viewer buys a product through the product link tagged in your video or LIVE. The brand sets the commission rate per product, and TikTok Shop pays it out under its affiliate program.
To earn a first commission faster: work from a brief and a real sample so the video shows the product honestly; post several videos per product instead of one; put the hook in the first two seconds; and check which videos produce orders in TikTok’s affiliate dashboard, then make more of those.
ShopSlayer by the numbers (as of November 2026)
Launched: July 2026, Philippines
Affiliates on the platform: 5,300+
Brand campaigns launched: 100+
Fastest campaign fill: Less than three days
Brands that have run campaigns include Human Nature, BYS, Wellspring and QUICKFX
Also live: Labs by ShopSlayer
Affiliates on the platform can also take Labs by ShopSlayer, a free eight-module course on what to post, how to write stronger hooks and how to make TikTok videos that hold attention. Log in at labs.shopslayer.ai with a ShopSlayer account, finish all eight modules and claim a badge and certificate as a Certified ShopSlayer Affiliate, which comes with early access to selected campaigns and invitations to selected on-site brand events.
About the founders
ShopSlayer was co-founded by Bianca Cruz Azurin and Miggy Azurin. Bianca co-founded 10XME Academy, which was acquired by YGG Pilipinas in 2024, then led Metaversity, YGG Pilipinas’ learning platform, where the team secured US$130,000 in educational grants and reached more than 12,000 learners across the Philippines. Miggy is managing partner of Huskee Digital, a TikTok agency partner.
Frequently asked questions
Is ShopSlayer free for affiliates? Yes. Affiliates join free. Brands pay a subscription to run campaigns on the platform.
How many followers do I need to join ShopSlayer? There is no follower minimum on ShopSlayer. You need to be an approved TikTok Shop affiliate and TikTok sets its own threshold.
Are there campaigns open right now? Yes. ShopSlayer has launched more than 100 brand campaigns since July 2026 and new ones open every week. Campaigns have filled in as fast as three days, so opt in early.
Who pays the commission? TikTok Shop pays affiliate commissions under its affiliate program at the rate the brand sets per product. ShopSlayer does not hold or pay out commissions.
Which brands have run campaigns on ShopSlayer? Human Nature, BYS, Wellspring and QUICKFX are among the brands that have run campaigns on the platform.
Is ShopSlayer available outside the Philippines? ShopSlayer currently serves TikTok Shop brands and affiliates in the Philippines but plans to expand into markets next year.
Is the Labs course free? Yes. All eight modules at labs.shopslayer.ai are free, and so are the badge and certificate on completion.
About Huskee Digital Inc.
ShopSlayer is a TikTok Shop affiliate platform. It matches TikTok Shop brands with affiliates who sell. Brands post campaign briefs with the product, free sample and commission rate, and affiliates opt in, post on TikTok and earn commission on every sale through TikTok Shop. Launched in July 2026, ShopSlayer has 5,300+ affiliates and has run 100+ brand campaigns for brands including Human Nature, BYS, Wellspring and QUICKFX. Affiliates join free; brands pay a subscription. ShopSlayer also runs Labs by ShopSlayer, a free eight-module TikTok affiliate course at labs.shopslayer.ai. ShopSlayer is operated by Bloosh Technologies Pte. Ltd.
by Ferry Bayu | Nov 9, 2026 | Business
Filipino tech firm White Cloak Technologies is recognized for AI in Workforce & Future Skills in Asia-Oceania
MANILA, Philippines — A Philippine technology company has been recognized among the leading digital innovators in Asia and Oceania. White Cloak Technologies won the AI in Workforce & Future Skills award at the ASOCIO Digital & AI Awards 2026 for Jia, its AI-powered hiring platform.
The Asian-Oceanian Computing Industry Organization (ASOCIO) presented the award on October 6, 2026, at its Awards Ceremony & Gala Dinner at the Swissôtel Jakarta PIK Avenue in Indonesia. A White Cloak delegation accepted the award on behalf of the company. The ceremony was part of the ASOCIO Digital & AI Summit 2026, held October 5–7. The summit brought together technology leaders, innovators, investors, and policymakers from across the region.
ASOCIO is the regional federation of computing and IT industry associations in Asia and Oceania. Its awards honor organizations whose work advances the regional digital economy. ASOCIO Chairman Stan Singh-Jit said the recognition celebrates leadership and innovation that “exemplify the transformative impact of technology and serve as an inspiration to the wider community.”
The win puts a Filipino-built AI product at the center of the regional conversation about AI and the future of work. Jia uses AI throughout hiring. It evaluates CVs against job requirements, runs conversational AI interviews with candidates, and gives recruiters structured insights to support their decisions. It also guides job seekers from application to offer.
The award reflects the growing strength of the Philippine software industry. Filipino companies increasingly design and build their own technology products for regional and global markets, not just provide services. White Cloak is a member of the Philippine Software Industry Association (PSIA), the country’s representative to ASOCIO. Through its competitive nominations, PSIA puts Filipino technology companies in front of a regional audience.
The award falls under ASOCIO’s M.A.D.E. (Mapping ASOCIO Digital Economy) initiative, which recognizes organizations driving digital transformation and sustainable growth across Asia and Oceania. White Cloak joins this year’s group of recipients recognized for shaping the region’s digital future.
About White Cloak Technologies
White Cloak Technologies is a Philippine software company that builds digital products and platforms, including Jia, an AI-powered hiring platform for job seekers and recruiters.
About ASOCIO
The Asian-Oceanian Computing Industry Organization (ASOCIO) is a regional federation of computing and IT industry associations in Asia and Oceania that works to advance the region’s digital economy.
About White Cloak Technologies, Inc.
Homegrown to the Philippines, White Cloak Technologies is one of the country’s leading software development companies that has worked on globally recognized projects and technologies. Founded in 2014, White Cloak continues to be the innovation partner of choice for many major corporations, leveraging technology to take its client’s business to the next level. This technical superiority and commitment to our clients have brought numerous recognition and awards to White Cloak.
This press release has also been published on VRITIMES.
by Ferry Bayu | Nov 7, 2026 | Business
As demand grows for flexible, skills-focused education, Miriam College and C&E Adaptive Learning Solutions (C&E ALS) are collaborating to expand access to learning opportunities through micro-credentials, offering learners additional pathways to develop competencies alongside their academic and professional pursuits.
The partnership was formalized through a Memorandum of Agreement (MOA) signed on October 22, 2026, bringing together Miriam College’s academic expertise and C&E ALS’s capabilities in educational content development, production, and digital distribution.
Under the agreement, Miriam College will develop course-related manuscripts and syllabi, while C&E ALS will oversee the design, layout, and editing of learning materials for publication and distribution via AsCEnd, an online learning platform developed by C&E ALS.
Micro-credentials offer learners additional opportunities to acquire new skills and strengthen existing competencies beyond conventional degree programs. These shorter, skills-focused courses complement traditional degree pathways, allowing individuals to pursue targeted learning alongside their existing academic or professional commitments. The flexible structure of micro-credentials lets learners study at their pace and on their own schedule, reinforcing the importance of continuous learning and empowering them to adapt to the ever-evolving demands of the workforce.
For higher education institutions, micro-credentials also present opportunities to expand their academic offerings to new learner segments, including working professionals seeking to upskill or reskill in response to changing industry requirements.
Highlighting the value of micro-credentials, C&E ALS CEO John Emyl Eugenio said:
“Micro-credentials allow institutions to build on their academic strengths and offer focused, flexible learning experiences that respond to the needs of students, working professionals, and lifelong learners.”
In addition to developing workforce-relevant skills, micro-credentials may also help learners pursue further academic qualifications. Depending on institutional policies and assessment requirements, certain micro-credentials may be recognized for academic credit, allowing learners to apply their acquired knowledge and competencies toward eligible degree or diploma programs.
This approach offers learners greater flexibility in pursuing educational goals, allowing them to build previously acquired knowledge and competencies while exploring opportunities for further study.
For C&E ALS and Miriam College, the partnership aims to broaden learning opportunities for students, working professionals, and lifelong learners from diverse backgrounds. By combining Miriam College’s academic expertise with C&E ALS’ digital learning solutions and services, the partnership aims to expand access to flexible, personalized learning opportunities that equip individuals with relevant skills and support their continued academic and professional growth.
About C&E Adaptive Learning Solutions
C&E Adaptive Learning Solutions (C&E ALS) is a Philippine learning solutions company that aims to make education more innovative, personalized, and accessible. Through print educational resources and digital learning platforms, C&E ALS supports institutions and individuals to promote meaningful learning experiences.
About AsCEnd Learning
AsCEnd Learning is an online platform offering globally competitive, short, stackable, and non-stackable micro-credentials developed by C&E Adaptive Learning Solutions in collaboration with OpenLearning. It empowers students and lifelong learners to pursue continuous education through flexible, specialized courses designed to boost workforce readiness and competence.
by Ferry Bayu | Nov 7, 2026 | Business
Kravos AI has officially launched its public beta, opening access to its managed infrastructure platform for autonomous AI agents. Designed to eliminate the backend engineering required to productionize AI, Kravos unites managed knowledge ingestion, retrieval, skills, external tools, and multi-modal voice and chat runtimes into a single execution layer. Developers can even build, ground, and test agents directly from coding assistants like Cursor and Claude via open Model Context Protocol (MCP) support. Builders can start creating for free at kravos.ai.
Kravos AI today officially announced the public beta launch of its dedicated AI agent infrastructure platform, opening global access for developers, enterprises, and technical operators to build, deploy, and scale custom autonomous agents. Available immediately with a self-serve Starter tier, the platform eliminates the complex backend engineering required to operationalize AI, allowing teams to move from concept to production-grade deployment in minutes.
While foundation models provide raw reasoning, taking autonomous agents into production has historically required months of fragmented plumbing, including custom vector search pipelines, brittle tool connectors, and disparate frontend widgets. Kravos AI solves this by delivering the complete execution layer around the model: knowledge grounding, skill orchestration, tool execution, and deployment runtimes are connected out of the box.
“Foundation models have made intelligence accessible, but the engineering required to make agents reliably take action, search private data securely, and interact across channels remains a massive barrier for most organizations,” said Mr. Marc Dagatan, Co-Founder and CEO of Kravos AI. “Kravos AI is built to carry that infrastructure weight. Builders can configure complex business logic, connect their data, and even build directly from AI coding environments like Cursor and Claude using open standards like MCP—while our platform handles the runtime, security, and execution below.”
Key Capabilities of the Kravos AI Platform
The public beta introduces a comprehensive suite of developer and enterprise tools designed for the complete agent lifecycle:
Remote Model Context Protocol (MCP) Support: Developers can connect their preferred coding assistants (Cursor, VS Code, Claude, and ChatGPT) directly to Kravos AI via Streamable HTTP, enabling teams to scaffold, ingest data, and manage agent configurations programmatically from their development environments.
Isolated High-Performance RAG Architecture: Agents are grounded in proprietary enterprise knowledge—including live web crawls, internal documentation, and files—accelerated by a dedicated, isolated RAG cache that reduces retrieval latency to sub-10ms while preventing cross-agent data exposure.
Instant Multi-Modal Deployment: Completed agents can be deployed instantly using a single-line drop-in script tag supporting both real-time voice and text interfaces, or embedded directly into existing products via developer REST APIs.
Deterministic Tool Execution & Action Workflows: Beyond conversational Q&A, agents can execute real-world workflows, query live databases, trigger webhooks, and interact with external enterprise software using standardized tool definitions.
Live Observability & Human-in-the-Loop Takeover: Operators can inspect step-by-step agent reasoning traces, audit tool execution payloads, and intervene with seamless human handoff whenever conversations require human judgment.
Immediate Availability and Getting Started
The Kravos AI public beta is available immediately to developers, startup teams, and organizations worldwide. Users can create a free account to test sandbox agents, configure knowledge sources, and explore the developer API with no credit card required.
To sign up or explore technical documentation, visit https://kravos.ai.
About Kravos AI
Established in 2026, Kravos AI was built to solve a fundamental problem in autonomous execution: bridging the gap between raw AI models and reliable business workflows. Rather than acting as a service agency, Kravos AI provides a zero-infrastructure platform where teams can easily construct, test, and manage custom AI agents tailored to their exact specifications. With built-in step auditing, multimodal deployment, and enterprise-grade security, Kravos AI serves as the central control plane for modern AI operations.
by Ferry Bayu | Nov 6, 2026 | Business
MAKATI CITY, PHILIPPINES – October 15, 2026 – Kravos AI today officially announced the public rollout of its dedicated AI agent infrastructure platform, providing developers, product teams, and enterprises with a unified execution environment to build, deploy, and scale custom autonomous AI agents. Following an exclusive industry preview in August 2026, the company has opened platform access at kravos.ai, removing the backend complexity that stalls over 70% of enterprise AI agent deployments.
What is Kravos AI? Kravos AI is an infrastructure software platform and control plane for autonomous artificial intelligence agents. While foundation model providers (such as OpenAI, Anthropic, and Google) focus on core LLM intelligence, Kravos AI provides the execution stack surrounding the model. The platform unifies knowledge ingestion, isolated RAG retrieval, skill definitions, tool integrations via the open Model Context Protocol (MCP), and multi-channel deployment into a zero-maintenance runtime.
Addressing the Production Agent Execution Gap Building reliable, task-executing AI agents typically forces engineering teams to build custom infrastructure from scratch—stitching together vector stores, embedding APIs, complex auth logic, and brittle tool connectors. Kravos AI replaces this fragmented plumbing with a production-ready environment that takes agents from concept to live deployment in minutes.
The platform provides a complete lifecycle for autonomous agent engineering:
Proprietary Isolated RAG Caching: Grounds agents in proprietary enterprise data (web crawls, PDFs, documentation, and structured files). By caching finalized retrieval context at the agent and data source level, Kravos slashes knowledge retrieval latency to sub-10ms and eliminates redundant vector database queries.
Remote Model Context Protocol (MCP) Support: Developers can connect modern AI coding environments (including Cursor, VS Code, Claude, and ChatGPT) directly to Kravos via streamable HTTP to scaffold, test, and manage agents programmatically.
Turnkey Multi-Modal Deployment: Agents deploy instantly via a single-line tag delivering embeddable voice and chat interfaces, or directly into existing business applications via developer REST APIs.
Deterministic Tool Execution & Workflows: Allows agents to safely trigger real-world actions, call external software APIs, and query live production databases with built-in idempotency and transactional rollback protections.
Real-Time Observability & Human Fallback: Built-in tracing monitors step-by-step agent reasoning, tool call parameters, and accuracy guardrails, backed by a human takeover dashboard for seamless live escalation.
“Working on something quietly for months and then finally unveiling it to the builder community is an incredible milestone,” said Marc Dagatan, Chief Executive Officer of Kravos AI. “Foundational models have solved general reasoning, but the engineering required to run agents reliably in production is where teams get stuck. We don’t train base models, we build the platform that runs your agents. Kravos provides the entire operational stack around the model, including infrastructure, governance, and deployment, so teams can focus 100% on their core workflow logic.”
Immediate Availability and Free Access Early access to the Kravos AI platform is open immediately to developers, technical founders, and enterprise teams globally. Users can start building sandbox agents with no credit card required on the platform’s self-serve Starter tier.
To begin building custom AI agents or explore platform documentation, visit www.kravos.ai
Frequently Asked Questions (FAQ)
What is Kravos AI? Kravos AI is an enterprise-grade execution and control platform that hosts, coordinates, and scales autonomous AI agents, eliminating the need for teams to build in-house AI infrastructure.
How does Kravos AI differ from foundation model providers? Foundation models provide raw LLM reasoning capabilities. Kravos AI provides the operational infrastructure around those models, including data ingestion, proprietary isolated RAG caching, tool execution via MCP, human-in-the-loop controls, and frontend deployment runtimes.
Can developers build Kravos agents from AI coding assistants like Cursor? Yes. Kravos AI supports Remote Model Context Protocol (MCP) over Streamable HTTP, allowing developers to configure, test, and trigger document ingestion for their agents directly inside environments like Cursor, VS Code, Claude, and ChatGPT.
About Kravos AI
Established in 2026, Kravos AI was built to solve a fundamental problem in autonomous execution: bridging the gap between raw AI models and reliable business workflows. Rather than acting as a service agency, Kravos AI provides a zero-infrastructure platform where teams can easily construct, test, and manage custom AI agents tailored to their exact specifications. With built-in step auditing, multimodal deployment, and enterprise-grade security, Kravos AI serves as the central control plane for modern AI operations.
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