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Hire AI — Not APIs ✨

Assign Tasks by Call, E-mail, or Message — Your Assistant will Handle the Rest! https://unify.ai ✨
Active Founders
Daniel Lenton
Daniel Lenton
Founder
PhD in ML for 3D Vision + Robotics, Imperial College London. Love to dive deep into engineering rabbit holes 🕳️🐇
Company Launches
Unify: Self-Learning Virtual Colleauges
See original launch post

Hello everone! 👋

We're building virtual teammates that you onboard like real colleagues.

We've been heads down for ~10 months building a custom stack from scratch (not OpenClaw 🦞), and we're really excited to finally launch.

https://youtu.be/qjSWiCd8Bq8?si=sIc_L8t9xY89F4F6

TL;DR:

- 🧑‍💼 Onboard naturally: Share your screen, send docs, record voice notes, hop on a call — whatever works for you

- 📈 They improve every day: Your virtual teammate reflects, asks follow-up questions, and builds reusable skills over time

- ⚡ Real-time collaboration: Custom-built stack with concurrent multi-task execution, live voice, and interruptible agents

Ask: Try it free and tell us what you honestly think (positive and negative) — we'd love your feedback 🙏

👉 https://console.unify.ai/assistants?token=1968a585-5faf-4a4a-97eb-0225d417ad89

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❌ The Problem

🤖 AI automation today is "prompt-then-execute"

Most AI tools require you to fully articulate a task upfront in a single prompt. But real work doesn't happen that way. Day-to-day processes — especially in ops-heavy teams — require continual judgment, context, and incremental back-and-forth to learn what's actually needed.

🔧 Real work is too messy for hand-crafted workflows

Rigid tool-loop architectures and skill builders break on the nuanced, evolving nature of real tasks. If a process is hard to fully articulate upfront, you simply can't "prompt" it into existence.

🚫 Existing AI agents don't feel like colleagues

Current tools operate in isolated prompt windows. They can't be interrupted mid-task, redirected on the fly, or taught organically the way you'd teach a new hire sitting next to you.

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✅ The Solution

We built virtual teammates that you onboard exactly how you'd onboard any new colleague.

🧑‍💼 Onboard however is easiest for you

Share your screen and walk them through a process. Send onboarding docs. Record voice notes. Hop on a call. They learn how you and your team work, and they continually reflect, ask follow-up questions, and improve over time.

⚡ A real-time, "in the room with you" experience

Your virtual teammate can simultaneously use their own computer, talk to you via live voice, follow your guided screenshare, work across multiple concurrent tasks, and consolidate everything into new skills on the fly — all inside a dedicated per-agent computer and filesystem.

🎛️ Interruptible and steerable at every level

People don't work in "prompt then execute" windows, and neither should your virtual colleagues. Top-down controls (ask, interject, pause, resume, stop) and bottom-up signals (notify, request clarification) run throughout a nested call stack of sub-agents. You can redirect at any point — just like with a real teammate.

📈 Continuously compounding skills

Every interaction gets chunked into reusable skills that compound over time. The colleague is already much better on day 2 than day 1, and even better on day 3, with a holistic understanding evolving quickly and organically.

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📊 Early Usage

We've helped several teams across real estate, finance, and housing streamline day-to-day processes that would have been impossible to automate with traditional prompt-based tools — because these tasks require continual judgment, context, and incremental back-and-forth to truly learn and internalize.

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🙏 The Ask

- Try it out: Give your new virtual teammate a spin with this free credit link and tell us what you think → [link above]

- Know a team drowning in repetitive ops work that's too nuanced for traditional automation? We'd love an intro.

- Upvote if this resonates — it means a lot to us! 🫶

Huge shout out to the team (and many long nights) to get us here. Thanks so much! ❤️💪

Previous Launches
Too Many Tools, Too Complex, Build Your Own Workflow in Seconds ⚡
Dynamically route each prompt to the best LLM, so you can balance quality, speed and cost with ease
Unify
Founded:2022
Batch:Winter 2023
Team Size:10
Status:
Active
Location:London, United Kingdom
Primary Partner:Jared Friedman