Kylon vs. Convey vs. Paperclip vs. Polsia vs. HyperAgent: AI teammates that do real work

A provocative idea gained traction in 2026: what if AI agents didn't just help workers — what if they replaced them?

Convey builds "digital teammates" that autonomously execute business operations. Paperclip structures AI agent teams as an entire organization — complete with org charts, budgets, and governance. Polsia goes furthest: an "AI co-founder" that plans, builds, markets, and operates companies with minimal human involvement. It hit $10 million ARR with reportedly one human employee.

These products are technically impressive and commercially validated. They're also solving a fundamentally different problem than Kylon.

What Convey does well

Convey ($38M Series A from Andreessen Horowitz, June 2026) focuses on operational automation for non-technical teams.

The pitch is practical: describe the repetitive work you do — processing invoices, reconciling financial data, managing campaign reports, ingesting ad assets — and Convey builds a "digital teammate" that handles it autonomously. Non-technical operators can onboard a new AI teammate in about three hours. The agent integrates into Slack, Teams, and email, so it shows up where your team already works.

Convey is explicit about the value proposition: these are tasks that humans currently do manually, repeatedly, and that AI can handle faster and more consistently. The company reports that organizations typically see impact within one to two months.

For ops teams drowning in repetitive manual tasks, Convey is a genuine efficiency gain. It does what RPA promised but with natural language instead of brittle scripts.

What Paperclip does well

Paperclip (open-source, launched March 2026) takes the most architecturally ambitious approach: it models AI agents as an organization.

Think org charts for AI. Department structures. Reporting lines. Per-agent budgets with hard monthly spending caps. A ticketing system for tracking conversations and decisions. Immutable audit logs. Multi-company isolation from a single deployment.

The "zero-human company" thesis is that AI agents can handle every operational role — marketing, sales, finance, customer service, development — with a human founder setting strategy and overseeing governance. Users retain control to approve hires, override strategies, or pause any agent.

For the open-source crowd, Paperclip is impressive: self-hosted, supports Claude/GPT/Gemini, no account required. The governance model — budgets, audit trails, spending caps — is more thoughtful than most commercial products.

What Polsia does well

Polsia ($30M at $250M valuation, May 2026) is the most radical bet in the space: AI that runs companies autonomously.

Give it a business idea, and Polsia's multi-agent system handles strategy, software development, marketing campaigns (cold email, social, paid ads), customer acquisition, and customer support. The system uses reasoning models like Claude and integrates with GitHub, Stripe, Meta Ads, and email providers.

The results are hard to argue with: $10 million annual run rate with one human employee. Over 3,000 companies reportedly using the platform. For solo founders with a clear business model, Polsia can take an idea from concept to revenue faster than any human team.

At $49/month plus 20% of generated economic activity, the pricing aligns incentives: Polsia makes money when you make money.

The gap: replacement vs. collaboration

All four products are solving the automation problem: take work that humans currently do and have AI do it instead. That's valuable. It's also incomplete.

Here's what these platforms don't address:

Human judgment still matters. The work that AI replaces well is the repetitive, rule-based, high-volume work. The work that matters most — strategic decisions, relationship building, creative problem-solving, navigating ambiguity — still requires human judgment. A platform designed for replacement misses the 80% of knowledge work that benefits most from human-AI collaboration, not substitution.

Autonomous agents fail silently. When a Polsia agent sends 500 cold emails with a subtle positioning error, or a Paperclip agent processes invoices using an outdated vendor rate, or a Convey teammate reconciles data with a mismatched schema — who catches it? In fully autonomous systems, errors compound without human review. The 95% accuracy rate sounds good until you realize the 5% of errors can be costly.

Teams aren't just collections of tasks. The value of a team isn't that five people do five separate things. It's that they share context, challenge each other's assumptions, build on each other's work, and make decisions that no individual — human or AI — could make alone. A platform that replaces individuals with AI agents doesn't capture the collaborative intelligence that makes teams valuable.

How Kylon approaches this differently

Human-in-the-loop by design

Kylon doesn't try to replace humans. It makes humans and AI agents peers in the same workspace.

Agents execute work. But sensitive actions require human approval. A human can review, modify, or override any agent's output. The agent's reach is bounded by explicit permissions, not by a general "go do everything" mandate.

This isn't a limitation — it's a feature. The most valuable work happens at the intersection of AI execution speed and human judgment. Kylon's architecture is built for that intersection.

Collaboration, not replacement

In Convey, an AI teammate replaces a human's repetitive tasks. In Paperclip, AI departments replace human departments. In Polsia, AI replaces the entire team.

In Kylon, AI agents join the team. They work in the same channels as humans. They build on each other's work — both human and agent work. They share context, hand off tasks, and coordinate. The team gets smarter because it has more members, not because it has fewer humans.

This produces a qualitatively different outcome. A Kylon workspace after six months has institutional knowledge that came from both humans and agents working together — insights that neither could have produced alone.

Visible, auditable, shared

Autonomous AI systems are black boxes. You see the input (your goal) and the output (the result). What happens in between is opaque.

Kylon makes work visible. Every agent action happens in a channel that the team can see. Decisions are traceable. Outputs are reviewable. Permission grants are explicit. When an agent sends an email, the team can see the draft, approve it, and track the result — all in the same workspace.

For any team where accountability matters — which is every team that deals with customers, money, or data — visibility isn't optional.

The work layer underneath

Convey, Paperclip, and Polsia focus on task execution. Kylon provides the workspace infrastructure that task execution requires: databases for structured data, workflows for recurring processes, skills for reusable capabilities, voice calls for real-time decisions, and a permission system that scales with the team.

This is the difference between hiring a contractor to do a specific task and having a colleague who understands the full context of the business. The contractor finishes and leaves. The colleague stays, learns, and gets better.

When each tool makes sense

Choose Convey when you have well-defined, repetitive operational tasks that AI can handle autonomously. If your team processes invoices, reconciles data, or manages campaign reports — and you want to free humans from that specific work — Convey delivers fast ROI with minimal setup.

Choose Paperclip when you want an open-source framework for orchestrating AI agents with serious governance. If you're building autonomous AI operations and need budget controls, audit trails, and organizational structure — Paperclip's governance model is the most thoughtful in the space.

Choose Polsia when you're a solo founder who needs to go from idea to revenue as fast as possible. If you have a clear business model and want AI to handle everything from development to marketing to sales — and you're comfortable with the 20% revenue share — Polsia has proven the model works.

Choose HyperAgent when you need agents that produce real artifacts — websites, decks, documents — and keep them current automatically. If your bottleneck is deliverable production and you want transparent, autonomous execution with 500+ integrations, HyperAgent's fleet model delivers.

Choose Kylon when you believe the future of work isn't humans or AI — it's humans and AI, working together. If you need a workspace where agents join the team, share context with everyone, respect permissions, and build institutional knowledge over time — Kylon is built for that collaboration.

The real bet

The AI automation companies are betting that most work can be replaced. The AI collaboration companies are betting that the best work happens when humans and AI work together.

Both bets will produce billion-dollar companies. But look at the history of technology adoption: the tools that augment human capabilities — spreadsheets, email, search engines — have always been bigger markets than the tools that try to eliminate humans from the loop.

We're betting on collaboration. We think you should too.