diff --git a/agent.py b/agent.py
deleted file mode 100644
index 0b31ef26..00000000
--- a/agent.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import typer
-import time
-import logging
-from decimal import Decimal
-from datetime import timedelta
-
-import prediction_market_agent as pma
-from prediction_market_agent.tools.gtypes import xDai, Mana
-from prediction_market_agent.markets.all_markets import (
-    MarketType,
-    get_bet_amount,
-    get_binary_markets,
-    place_bet,
-)
-from prediction_market_agent.agents.abstract import AbstractAgent
-from prediction_market_agent.agents.all_agents import AgentType, get_agent
-
-
-def main(
-    market_type: MarketType = MarketType.MANIFOLD,
-    agent_type: AgentType = AgentType.ALWAYS_YES,
-    sleep_time: int = timedelta(days=1).seconds,
-) -> None:
-    """
-    Start the agent as a continuous process. Picks a market and answers it, forever and ever.
-    """
-    agent: AbstractAgent = get_agent(agent_type)
-    keys = pma.utils.get_keys()
-
-    while True:
-        # TODO: Agent needs to keep track of the questions it has answered. It should skip them or re-evaluate.
-        available_markets = [
-            x.to_agent_market() for x in get_binary_markets(market_type)
-        ]
-        logging.info(
-            f"Found {len(available_markets)} markets: {[m.question for m in available_markets]}"
-        )
-
-        agent_market = agent.pick_market(available_markets)
-        logging.info(f"Picked market [{agent_market.id}]: {agent_market.question}")
-        answer = agent.answer_binary_market(agent_market)
-        logging.info(f"Answered market [{agent_market.id}]: {answer}")
-
-        # TODO: Calculate the amount to bet based on the confidence of the answer.
-        amount = Decimal("0.1")
-        logging.info(f"Placing bet of {amount} on market [{agent_market.id}]: {answer}")
-
-        place_bet(
-            market=agent_market.original_market,
-            amount=get_bet_amount(amount, market_type),
-            outcome=answer,
-            keys=keys,
-            omen_auto_deposit=True,
-        )
-
-        logging.info(f"Sleeping for {timedelta(seconds=sleep_time)}...")
-        time.sleep(sleep_time)
-
-
-if __name__ == "__main__":
-    typer.run(main)
diff --git a/prediction_market_agent/deploy/deploy.py b/prediction_market_agent/deploy/deploy.py
index 0bbbd6d5..fcf9b6a2 100644
--- a/prediction_market_agent/deploy/deploy.py
+++ b/prediction_market_agent/deploy/deploy.py
@@ -33,9 +33,7 @@ class DeploymentType(str, Enum):
 
 class DeployableAgent(BaseModel):
     def pick_markets(self, markets: list[AgentMarket]) -> list[AgentMarket]:
-        if len(markets) > 1:
-            return markets[:1]
-        return markets
+        return markets[:1]
 
     def answer_binary_market(self, market: AgentMarket) -> bool:
         raise NotImplementedError("This method should be implemented by the subclass")
diff --git a/prediction_market_agent/deploy/utils.py b/prediction_market_agent/deploy/utils.py
index 48d027c8..115dc8ce 100644
--- a/prediction_market_agent/deploy/utils.py
+++ b/prediction_market_agent/deploy/utils.py
@@ -122,7 +122,3 @@ def get_gcp_function(fname: str) -> Function:
 
 def gcp_function_is_active(fname: str) -> bool:
     return get_gcp_function(fname).state == Function.State.ACTIVE
-
-
-def convert_seconds_to_cron_string(seconds: int) -> str:
-    return f"*/* * * * *"