Paperclip is presented as an orchestration layer for AI-native companies

Paperclip is presented as an orchestration layer for AI-native companies: instead of opening 20 to 30 separate coding-agent windows and losing track of what each one is doing, the user defines business goals, hires agents into an org chart, and manages work through a central dashboard. In the demo, Dota and Greg create a sample startup called Mula, assign a CEO, approve the CEO’s request to hire a founding engineer, and let the system generate concrete issues such as scaffolding, CI, onboarding, and a core daily loop. Dota’s core claim is that effective agent management looks less like prompting for one-shot outputs and more like operating a company: you specify roles, give persistent instructions, review outputs, route work through QA, and continually improve the agents’ personas. Paperclip also separates itself from model-specific workflows by supporting multiple providers and model types, with frontier models recommended for CEO-like roles and cheaper models used where quality matters less.

A major part of the argument is that agent reliability depends on structure and memory. Dota compares agents to the protagonist of Memento: capable, but waking up without enough context to know who they are or what they should do. Paperclip addresses that through persona prompts, file-based memory, heartbeat checklists, and explicit operating rules. When the engineer fails to define success criteria or request QA, the fix is not a total rewrite of the system but a new standing rule in the prompt. Dota extends that logic to creative and product work, arguing that users still need to codify their own brand guides, design standards, and taste because current models lack the judgment to infer them. That principle also drives the move toward specialized skills and role separation: a video editor might get the Remotion skill, a QA agent might get browser automation, and a future evals engineer might analyze past mistakes and feedback loops.

The longer-term vision is a marketplace or library of importable organizations rather than just individual prompts. Dota says Paperclip is adding import/export so users can pull in complete agent teams such as Gary Tan’s G-Stack, agency-style repos with 100+ agents, or game-studio setups that include creative directors and technical leads. He openly concedes this is still unproven: many agent repos have stars but no runtime, no evals, and no evidence they work end to end. Paperclip’s bet is that the winning abstraction will be tested, traceable organizations with routines, budget visibility, and reusable structures for recurring tasks. Dota also notes that despite the 'zero human company' tagline, early traction appears to come from existing businesses—marketing firms, security-review shops, dentists, and roofing companies—using agents to augment operations rather than fully replace humans.