jeremylongshore

Run your work like an AI agency, from a single Notion board. Agents discuss, plan, and execute tasks in parallel with dependency ordering and model routing.

Feature creation, selection, and transformation tools

Generate professional Statements of Work for AI projects

Engineering + Product + Operations + Legal + Design + Data Science + Security Operations + Developer Experience + Infrastructure Specialist + AI Operations team — 100 agents as Claude Code specialists. Infrastructure, DevOps, backend, security, ML/AI, mobile, UX, analytics, growth, revenue, content, PR, customer success, finance, people, operations, support, contracts, compliance, IP, governance, regulatory, color systems, typography, motion, accessibility, design tokens, forecasting, feature engineering, model training, drift monitoring, vector search, LLM fine-tuning, pen testing, detection engineering, incident response, zero trust, API docs, SDK design, developer onboarding, Kubernetes, Terraform, FinOps, service mesh, edge computing, caching, queuing, multi-cloud, chaos engineering, model deployment, LLM evaluation, AI observability, guardrails, prompt engineering, embeddings, ranking, and more.

Production ADK orchestrator for A2A protocol and multi-agent coordination on Vertex AI

Automated data preprocessing and cleaning pipelines

Create Make.com (Integromat) scenarios with AI assistance - visual automation design

Set up ML experiment tracking

Create data visualizations and plots

Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.

Describe your app in plain English — Shipwright builds, tests, and deploys it autonomously via a 9-phase pipeline.

Calculate and present ROI for AI automation projects

Detect anomalies and outliers in data

Run clustering algorithms on datasets

Build classification models

Computer vision image processing and analysis

AI ethics and fairness validation

Design complex n8n workflows with AI assistance - loops, branching, error handling

Generate custom discovery questionnaires for AI agency prospects

Deep learning optimization techniques

Create multi-step Zapier Zaps with filters, paths, and formatters

Build AutoML pipelines

Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)