Launching Righthand Roles

Today, we're launching Righthand Roles - AI employee "archetypes" that align closely with human employee job descriptions.

For the past four months, we've seen our users explore and push the boundaries of Righthand Executive Assistants. Today, Righthand EAs help a movie executive stay on top of production timelines, enable a CEO to manage real estate properties on multiple continents and make it easy for more than a few lawyers to track their billable hours.

However, we've also watched with surprise as Righthands are asked to build websites, run customer service workflows, manage outbound campaigns, write social-media posts and add bugs to an engineering team's sprint. While each use case turned out to be technically possible, the Righthand EA's toolkit and personality just weren't built to manage codebases or monitor sales campaigns.

Enter Righthand Roles - specialized Righthands built for specific jobs. We're seeding the available Roles with those that we've been testing internally for a while now:

• Sales Development Representative (SDR)
• Product Manager (PM)
• Software Engineer (SWE)
• Copywriter (CW)

Sales Development Representative (SDR)

Your Righthand SDR manages the entire top-of-funnel pipeline so your team can focus on closing. It researches prospects across LinkedIn, company websites and news sources, then crafts personalized outreach sequences - cold emails, follow-ups and connection requests - tailored to each lead's role, industry and recent activity. When replies come in, the SDR triages responses, flags warm leads for immediate human follow-up and keeps your CRM updated in real time.

Behind the scenes, the SDR continuously monitors campaign performance - open rates, reply rates, bounce rates - and adjusts messaging, send times and targeting to improve results over time. It can manage multiple outbound campaigns simultaneously across different ICPs, coordinate with tools like Clay, Instantly and Apollo, and generate weekly pipeline reports so you always know where you stand.

We built the SDR Role because outbound is one of the most repetitive yet high-stakes functions in any growing company. Getting it right requires consistency, personalization at scale and fast iteration - exactly the kind of work an AI employee can do around the clock without losing quality.

Product Manager (PM)

Your Righthand PM sits at the intersection of product, engineering and the customer. It tracks feature requests and bug reports across every channel - email, Slack, support tickets, user interviews - and synthesizes them into prioritized backlogs with clear context on who asked for what and why. When sprint planning comes around, the PM surfaces the highest-impact items, flags dependencies and drafts acceptance criteria so your team can start building without ambiguity.

The PM also owns the documentation layer that most teams neglect. It keeps product specs, release notes and internal wikis current as decisions evolve - not after the fact, but in real time as conversations happen. It can draft stakeholder updates, prepare board-ready product summaries and maintain a living roadmap that reflects what's actually shipping, not what was planned six months ago.

We built the PM Role because product management is death by a thousand context switches. The best PMs aren't the ones who write the most docs - they're the ones who never let critical context fall through the cracks. That's exactly what an AI employee with persistent memory and multi-channel awareness is built to do.

Software Engineer (SWE)

Your Righthand SWE is a full-stack engineering teammate that lives inside your codebase. It reviews pull requests, writes and runs tests, triages bug reports with root-cause analysis and ships fixes - complete with feature flags for safe rollout. It monitors production logs and error rates across services, catches regressions before they escalate and keeps your CI/CD pipeline healthy.

The SWE doesn't just react to tickets. It runs daily automated sweeps of your development and production environments, classifying errors by severity and scope, then prioritizing what needs attention now versus what can wait. When it finds something urgent, it opens a PR with a proposed fix and flags the relevant human engineer for review. For routine maintenance - dependency updates, log cleanup, documentation drift - it handles the work end to end.

We built the SWE Role because engineering teams drown in operational overhead. The highest-leverage thing a senior engineer can do is architect and build. Everything else - the triage, the monitoring, the test coverage gaps, the "someone should really fix that" backlog - is exactly the kind of persistent, detail-oriented work that an AI employee with full repo access and 24/7 availability was made for.

Copywriter (CW)

Your Righthand Copywriter is the always-on content engine your marketing team has been hiring freelancers to approximate. It writes blog posts, landing pages, email campaigns, ad copy and social-media content - all calibrated to your brand voice, target audience and channel-specific best practices. Give it a brief and a deadline, and it delivers drafts ready for review, not rough ideas that need another three rounds.

The Copywriter doesn't just produce words on demand. It maintains an editorial calendar, tracks content performance across channels, proposes topics based on industry trends and competitive signals, and repurposes high-performing content into new formats automatically. A strong blog post becomes a LinkedIn carousel, an X thread and an email nurture sequence - without you asking.

We built the Copywriter Role because content is the one function every company needs and almost none can staff fast enough. The gap between "we should be posting more" and actually publishing consistently is almost always a capacity problem, not a strategy problem. An AI employee that writes on-brand, on-schedule and on-brief closes that gap overnight.