... first command post for running AI agents like an actual squad. Instead of treating each AI tool as a separate island, Loadout gives you one place to: build a roster of agents assign each one a role and domain approve actions before they run keep shared memory in plain Markdown see what changed, what s pending, and what needs your attention switch between providers without losing the whole operation The mental model is less chatbot and more mission control ... ... agent might be your researcher. Another your code operator. Another handles memory. Another sits on approvals

... built agency-os . It turns Notion into a single board for working with AI: You talk through ideas with the agent. It pushes back, asks clarifying questions, and scopes the work into tasks and subtasks on the row. You approve before anything runs. Nothing dispatches autonomously - every execution is operator-gated. Agents pick up approved

... work. How it works                            You sign up, we review your application, and once approved you get a unique link. Share it however you want. When someone subscribes through your link, you earn up to 10% of that subscription . No complicated tiers. No "reach X referrals to unlock payouts ... ... Getting started Go to Affiliate Sign In Fill in your details and submit. Wait for the approval

... ready for them yet. The idea behind rbitr is that it sits between your AI agents and the tools they call. Every tool invocation gets classified, evaluated against policy, and enforced in real time: allow , deny , or require human approval . Approvals

... tired of watching talented teams drown in coordination overhead instead of doing actual work. Sound familiar? The Problem We're All Facing Every team I've worked with struggles with the same things: Work gets stuck waiting for approvals (while you refresh Slack hoping for a response) The wrong person gets assigned and delays everything Important tasks fall through the cracks Endless status meetings just to stay aligned We're spending more time managing work than doing it. What Makes ... ... Works Different Works uses AI agents that work alongside your team 24/7 to: Route work intelligently Tasks go to the right person based on expertise and capacity Resolve blockers automatically Dependencies and approvals

... Incident Runbook while composing. * Scoped & read-only: Chips are TTL (time-to-live) bound, no auto write-back; your current project s memory stays clean. * Inline provenance: Replies show which chip informed which part. * Admin guardrails: Allow/deny lists, approvals, label-based redaction (PII/secrets), and audit logs. Why it helps * Cut repeat explanations across repos/teams. * Reuse proven auth/logging/CI/CD patterns instead of reinventing. * Faster onboarding by bridging Architecture + Conventions. * Safer incident response: pull the right runbook just for this thread ... ... chips (e.g., Auth , Runbook ). 4. Send. Chips are used for this reply only and auto-expire. Privacy & compliance * Default-deny cross-project recall; everything is explicit & logged. * Sensitive labels can be auto-redacted or require owner approval

... easy to read. I have never used AI, for what it's worth. To be honest, the posting guideline that is provided to us is not that detailed. It leaves a ton of room for whoever reviewing to approve/reject however way they see fit. Currently, out of 10 threads I submit, only 3-4 gets approved

... Product Hunt! I m a software engineer at Acorns, where I ve spent years building fintech products that help people invest in their future. While working in tech, I noticed a recurring problem product managers struggle with documentation, approvals, and handoffs to engineering. So, I decided to build Artefact alongside my co-founders @royesegal and @marc__milberg . What is Artefact? Artefact is a live collaboration tool for product managers to create technical documents like PRDs, automate approvals