FF - FDE 交付工作台完整私有交接快照:源码、数据分析项目、阶段状态与历史会话
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Updated
Nov 13, 2026 - TypeScript
FF - FDE 交付工作台完整私有交接快照:源码、数据分析项目、阶段状态与历史会话
Reusable Agent Skill for client delivery guardrails in Codex and Claude Code
Facilio Delivery Studio: the workspace where a Facilio team runs a customer implementation from the signed contract to hand-over. AI (Claude and DeepSeek) drafts the BRD, guides and reports; people review and approve.
A structured approach to CRM implementation using business analysis methodologies, including epics, user stories, roadmap, Gantt chart, and traceability matrix
Professional update on Construction Project Delivery Milestones... | View more at LaravelMail.com
Delivery Confidence Dashboard developed a delivery confidence dashboard that uses synthetic delivery data to highlight early warning signs of task slippage and capacity pressure. The team focused on clear visual cues and simple indicators that help planners and project leaders understand where delivery risk is building and what actions may be ne...
Lifecycle-aware Agent Skill for shipping complex AI-assisted projects with current truth, recoverable gates, and less rework.
AI-powered Delivery Knowledge Assistant using RAG, chronology-aware retrieval, grounded answers and source evidence.
ROS 2 + STM32 双轮机器人:已验证 Gazebo/SLAM、UART 压测、软硬件联调与项目交付证据。
AI-assisted RAID analysis and project status reporting. Converts task data into stakeholder-tiered reports, RAG scores, and delivery predictability scores. Live at agentic-pm.onrender.com
面向长期 AI 协作项目的证据驱动交付手册(私有试运行)
Genchi MCP connector: project delivery predictions, from the people doing the work, in Claude, ChatGPT and Grok. Ask which projects are heading for a missed deadline and see confidence scores, trends and blockers, with individual votes kept anonymous.
AI-powered project delivery intelligence platform that ingests unstructured communication, extracts validated project events with LLMs, and converts them into human-approved milestones, risks, health signals, and auditable project state.
把 AI 项目目标拆成范围、故事、里程碑、责任、风险和验收闭环。
A documentation based case study of a custom client website and CMS platform that I designed, built, tested and launched. Production source code remains private.
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