Parth Arora retweetledi
building an AI agent that talks to your business data is probably the highest-leverage thing you can build right now.
everyone's building chatbots or content tools but the real play imo is building an agent that sits on top of your ad performance.. inventory levels or your CRM
anyone can build a wrapper on top of GPT but nobody else has your data, ad spend patterns, seasonal cycles, or customer behavior.
an agent that understands your specific business context gives you an unfair advantage.
i'd recommend setting this up with a hermes agent.
here's a quick step-by-step:
> start by identifying your highest-value data source.
for most people that's their ad accounts, their analytics, or their inventory system. pick one. don't try to connect everything at once.
> connect it to hermes agent.
API connections, CSV uploads, database access. hermes ingests the data and structures it so you can have a conversation with it.
> give it context and instructions.
tell it what matters to your business. what metrics you care about. what thresholds should trigger an alert. what "good" and "bad" look like for your specific situation.
> set up a slack bot and connect hermes to it.
now your whole team can ask questions in plain language right inside slack. "which ad creative is fatiguing this week?" "where should i shift budget tomorrow?" "what's trending toward stockout in the next 7 days?" answers in seconds from your actual data. everyone on the team gets visibility without pulling a single report.
> build the feedback loop.
every time you correct it, every time you tell it "that metric doesn't matter as much" or "flag this earlier next time," it learns. the agent improves its recommendations based on how you actually run your business.
after 30 days the agent knows your seasonality, your cycles, your anomalies..
after 90 days it's catching patterns you wouldn't spot manually and making recommendations you'd pay a consultant $500/hour for. and it just keeps getting sharper the longer it runs.
some examples of what this looks like in practice:
> ecom brand asking "which creative is fatiguing and where should i reallocate budget" and getting an answer in 10 seconds instead of pulling reports for an hour
> DTC founder getting a slack alert when a SKU is trending toward stockout 5 days before it happens
> sales team asking "which leads haven't been touched in 48 hours" and getting a prioritized list with context on why each one matters
> founder asking "what's my burn rate this month vs last 3 months" and getting a breakdown with the anomalies highlighted
every one of these is an agent sitting on top of data the business already has. the data was always there. the interface to talk to it wasn't.
pick your highest-value data source. connect it. start asking questions.
the compounding starts the day you begin. every day you wait is context the agent doesn't have.
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