Project Hyperagent
Made by the team at Airtable
AGI is here. Now harness it.
Intelligence is the prerequisite, not the product. The frontier models available today can reason through ambiguous problems, write production-quality code, and chain together multi-step workflows that would take a skilled knowledge worker hours or days. We are, for practical purposes, in the era of artificial general intelligence.
The bottleneck is no longer the intelligence. The bottleneck is that no one has built the right system around that intelligence to actually harness it. Think about what makes a person effective at their job - it's not raw intelligence. Plenty of smart people are ineffective. What separates the best operators from everyone else is the judgment they've developed, the preferences they've accumulated, the institutional knowledge they carry, and the systems they've built around themselves to do repeatable, high-quality work...
The complete system for using and deploying AGI-level agents
Start with the most capable agent, out of the box
Use frontier model-powered agents with a full suite of tools at their disposal - browser, shell, file system, code execution, image and video generation, and hundreds of enterprise integrations - capable of chaining across long-running, complex tasks.
Teach it any skill along the way
Equip agents with skills that codify how work gets done - writing press releases your way, interacting with the Stripe API, running your due diligence framework. Skills improve with every run, and the system suggests new ones automatically as usage patterns emerge.
Promote any use case into a deployable agent
Package a full agent configuration - system prompt, skills, tool access, model selection, budget limits - into a role with defined triggers. Deploy it to your company Slack, always listening, ready to jump in proactively.
Oversee your entire agent fleet
Track usage, performance, and cost across all your agents in real time. Score every run with LLM-as-judge against configurable eval rubrics. A/B test any change - new models, prompts, skills, tool configurations - against real workloads.