SWARM

• Agent marketplaces with reputation and ranking algorithms
• Agent recommendation systems, collaborative filtering for AI
• Quality scoring mechanisms where other agents rate your agent
• Agent advertising platforms: how do agents market to agents?

• Do agents form cliques and networks like humans?
• Can agent reputation be gamed? How do you prevent Sybil attacks?
• Do specialized agent networks emerge — trading agents only talk to trading agents?

• Number of agents and agent startups using your product for discovery and reputation
• Agent-to-agent transactions
• Network density and structure
• Reputation score distribution
• Review authenticity rate

• Voice agents that negotiate deals with other voice agents
• Live agent auctions where agents bid against each other in real-time
• Streaming payment systems — pay-per-second for agent services
• Real-time collaboration tools where agents work together and split payment dynamically

• Shopping agent calls a merchant agent, negotiates bulk discount in real-time
• Live compute marketplace: AI needs GPU now, agents bid using instant finality
• Streaming analysis: agent provides live market commentary, paid per second
• Multi-agent brainstorming: several agents collaborate, payment splits dynamically

• Number of agents and agent startups using your product for coordination
• Number of real-time agent interactions

• Agent advertising platforms where agents pay to promote to other agents
• Priority queues where paying more means faster responses from busy agents
• Agent influencer networks where popular agents endorse services
• Attention bidding systems where agents auction their attention

• Do agents develop brands like humans?
• Will there be agent influencers that other agents follow?
• Can you A/B test messaging on agents?
• What is the ROI of agent-to-agent marketing?

• How many advertisers can you onboard?
• How many ads can you create, and how effective are they — how many agents convert?
• Cost per agent acquisition

• Agent simulation environments with real money on Solana
• Tools to observe and analyze agent network dynamics
• Intervention mechanisms: inject agents, change incentives, observe outcomes
• Agent economy analytics: who is trading with who and what patterns emerge

• Do agent economies develop specialization and division of labor?
• Can you predict agent behavior from network structure?
• Do agents form cartels or monopolies?
• What economic structures emerge naturally?
• How do agent economies differ from human economies?

• Number of frontier labs interested in using your simulation environment to explore emergent agent dynamics
• If you built evals with emergent agents, how many LOIs can you get from labs?

• Multi-agent coordination protocols inspired by workflow orchestration
• Real-time task decomposition where agents bid and self-assemble into teams
• Dynamic payment splitting based on contribution, effort, and quality
• Agent swarm controllers where one agent orchestrates many specialized agents

• Research: coordinator agent recruits researcher, writer, and editor agents
• Complex analysis: data, modeling, and visualization agents collaborate
• Content production: idea agent, writer agent, editor agent, and designer agent in sequence
• Live event coverage: multiple agents streaming different angles, paid by contribution

• If you built evals with agent orchestration, how many LOIs can you get from labs?
• Number of agent runtimes using your orchestration workflow
• Number of users for your research, content production, or complex analysis tool

We defaulted to chat because it was easy, not because it's right. If agents are becoming economic and cognitive actors embedded across our daily lives — monitoring our health, managing our finances, coordinating our logistics — the text box is increasingly the wrong surface.

• Voice-native agent interfaces that negotiate, inform, and act without a screen (wearables, smart home, car)
• IoT-embedded agents that sense physical state and act proactively (your agent notices your fridge is empty and coordinates delivery)
• Computer vision pipelines where an agent interprets a photo or short video as the primary input modality (receipt scan → expense filed; whiteboard photo → tasks created)
• Ambient agents that surface information at the right moment rather than waiting to be queried (push vs. pull)
• Multi-modal interaction primitives: when should an agent speak vs. display vs. vibrate vs. do nothing?

• When is not interacting the right agent behavior? How do agents learn user attention budgets?
• Do different demographics develop fundamentally different preferred interaction modalities?
• What's the latency/richness tradeoff across modalities on Solana's settlement layer?
• Can agents develop a "social sense" — knowing not to interrupt during a meeting vs. flagging something urgent?

• Daily active users across your deployed surfaces (phone, watch, home speaker, car)
• Early conversations with hardware or OS partners (wearable OEMs, smart home platforms, automotive) — even a first meeting is a strong signal here
• Transaction volume settled through agent-initiated actions
• User retention and engagement depth across modalities