I build AI agents

import { createWorkflow } from "@mastra/core/workflows";

export const dailyPack = createWorkflow({
  id: "daily-content-pack",
  inputSchema: z.object({ date: z.string() }),
})
  .then(research)
  .foreach(writeForPlatform, { concurrency: 3 })
  .then(lint)
  .then(budgetGate)         // fails closed
  .then(requestApproval)    // suspends until Slack
  .commit();

export const approvalCard = createTool({
  id: "slack.approvalCard",
  inputSchema: z.object({ post: postSchema }),
  execute: async ({ context }) => {
    await slack.chat.postMessage({
      channel: APPROVALS,
      blocks: card(context.post), // Approve · Skip · Edit
    });
    return { status: "awaiting-human" };
  },
});

export const mastra = new Mastra({
  agents: { writer, analyst, condenser },
  workflows: { dailyPack, revise, prune },
  storage: new LibSQLStore({ url: "file:./team.db" }),
  observability: new Observability({
    exporters: [duckdbMetrics, traces],
  }),
  // monthly ceiling per resource, fails closed
  processors: [tokenCostControl({ limitUsd: 20 })],
});

export default function LogSport() {
  const { mutate } = useLogActivity();   // Supabase RLS
  return (
    <Screen>
      <SportPicker sports={SPORTS} />   {/* 55 sports */}
      <Button onPress={() => mutate({ xp: 20 })}>
        Log it in 20 seconds
      </Button>
    </Screen>
  );
}