Claude Opus 5.5
Claude Opus 5.5 is Anthropic’s advanced AI model for agentic coding, complex knowledge work, computer use, research, and long-running professional tasks. It is designed to handle large codebases, multi-step workflows, financial analysis, document creation, software audits, and other demanding workloads with improved efficiency over Claude Opus 5. Anthropic reports that Opus 5.5 uses fewer tokens per task, produces output more than 30% faster, and costs less to run than its predecessor. The model also improves communication quality by putting important information first, reducing unnecessary jargon, and following writing instructions more consistently. Safety enhancements include stronger prompt-injection resistance, action screening, sandboxing support, code review, behavioral alignment testing, and safeguards for high-risk cybersecurity & biology. Claude Opus 5.5 is available through Claude, Claude Code, the Claude Platform API, Amazon Web Services, Google Cloud, and Microsoft Azure.
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WEXTL
WEXTL is a cloud workflow automation platform for teams that need to connect business applications and coordinate repeatable processes. Users build workflows on a visual canvas with triggers, actions, conditions, branching, loops, schedules, and webhooks, and can add custom JavaScript for specialized logic. The platform includes AI agent steps that can use selected tools, plus human approval checkpoints for actions requiring review. Workflows can route leads, synchronize CRM records, support onboarding, triage customer-support tickets, and manage invoice approvals across sales, marketing, HR, IT, finance, and operations. WEXTL also provides app integrations, workflow templates, run history, analytics, and a REST API for creating and running workflows programmatically. It is intended for business teams and technical workflow builders automating multi-step work across connected services.
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Oracle AI Agent Platform
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.
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Arsenal
Arsenal is a web-based AI agent and workflow platform for founders, operators, creators, agencies, and businesses. Its visual no-code builder lets users configure agents with instructions, tools, memory, and knowledge sources, then test and deploy them through messaging channels, embeds, and shareable agent pages. Users can create multi-step workflows with triggers, schedules, approval steps, and defined outputs, and route work across supported AI model providers. Business Spaces organize agents, knowledge, workflows, and reporting for teams, client projects, and multi-location operations. The platform also supports publishing and monetizing agents through marketplace listings, subscriptions, credits, and Stripe-powered payments. Example uses include lead intake and follow-up, customer support, reporting, onboarding, document generation, content workflows, and internal copilots grounded in business information.
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