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Drift Harness
Every AI system drifts. It softens a position under pressure, drops a constraint it was holding a moment ago, or states a guess as if it were certain. The correction is almost always manual: a human notices, pushes back, forgets, and corrects the same failure on the next turn. Nothing remembers, and nothing scales. Drift Harness makes that loop automatic — it intercepts the exchange before the user has to act, logs what failed and why, and builds a structured record that drives correction at scale. The system fans a single exchange across thirteen specialist agents, each checking one slice of behaviour: constraints, antipatterns, voice, quality, identity, alignment, gap analysis, profiling and question generation. Every agent returns the same five-field verdict — agent, status, rule, excerpt, severity — so one shape holds across every layer. Its core idea is how it represents certainty. Rather than a percentage, which is just a token prediction dressed up as a probability, each agent commits to one of three states — violation, uncertain, or clean — always tied to an exact excerpt from the reasoning that triggered it. The excerpt is what makes the label mean anything. Under the hood, the logger mints a UUID4 per exchange and classifies each turn in Python before the model runs. Findings write to a FastAPI and SQLite backend; agents communicate over a shared Band session; a C++ coordinator handles multithreaded fan-out. The full stack runs live on a Hetzner VPS under pm2, with a dashboard at dashboard.malecsystems.com. We proved it end to end: one misaligned input fanned across every live agent produced six confirmed findings, written straight to the backend. All thirteen agents are deployed and the dashboard is live. The harness is the asset. The agents are the mechanism that fills it. Every AI system drifts — this one notices, records it, and turns a manual habit into infrastructure.
19 Jun 2026
HRify
HRify is a modern HR automation platform that simplifies team management for managers and employees. Instead of juggling spreadsheets, email threads, and manual processes, HRify brings everything into one clean, secure dashboard. Create teams by adding email lists, send bulk messages to entire groups with one click, and handle sensitive actions like employee terminations with built-in confirmation safeguards. The app provides real-time visibility into team size, growth trends, and pending actions, helping HR teams stay proactive. Designed with a focus on usability and trust, HRify reduces administrative overhead, minimizes human error, and ensures consistent communication across your organization—all while respecting privacy and security. Whether you're onboarding new hires, sending company updates, or managing staffing changes, HRify streamlines the process so you can focus on people, not paperwork.
23 Nov 2025
PayPilot
PayPilot is a secure, AI-driven subscription payment platform designed to automate recurring USDC transfers on the Arc Testnet. It enables users to effortlessly create, pause, resume, or delete subscriptions using simple natural language instructions, which are intelligently parsed by AI for precision and accuracy. MetaMask integration ensures all payments are authorized directly from the user’s wallet, maintaining full control over digital assets without exposing private keys. The backend, powered by Supabase, efficiently manages subscriptions, transactions, and notifications, providing a robust and scalable system for recurring payments. Users can track transaction history in real-time, receive instant in-app alerts for successful or failed payments, and enjoy a fully responsive interface optimized for desktop and mobile devices. PayPilot combines the convenience of automated payments with the security of blockchain and wallet-based authorization, making it an intuitive, reliable, and seamless solution for managing recurring digital payments in the rapidly evolving crypto ecosystem.
8 Nov 2025
