AGENTZERO - Build the Agent, Not the Chatbot

Kavitha’s agency spends hours every Monday manually tracking performance and sending updates. Build MondayAgent, an AI tool that automates analysis, creates simple WhatsApp summaries, and provides a dashboard for quick review and approval.

Challenge closed

Evaluation only · Closed

AI · Machine Learning

What you can win

Also included

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The brief

The Setup Kavitha runs a 12-person digital marketing agency in Coimbatore. Every Monday, her team lead Rajan spends 2.5 hours pulling Instagram and Google Ads data, updating sheets, calculating weekly changes, writing summaries, and sending 8 WhatsApp updates. Every week. A third of his Monday goes into repetitive work that shouldn’t need a human.

The Problem Build MondayAgent — an AI agent that automates this entire process. It should take client configs and weekly data, analyze performance, generate simple client-ready WhatsApp summaries, and display them on a dashboard for quick review and approval.

Deliverables

You must identify one real professional in a reporting-heavy role (account manager, analyst, social media manager, or marketing coordinator). Share summaries generated for at least 3 mock clients with them.
Collect and submit their feedback covering:
Would they send these messages as-is?
What specific changes would they make?
Does the insight feel human-written or AI-generated?
This feedback must be included in your final deliverables as proof of real-world validation.

Evaluation criteria

Insight Quality & Accuracy (data-backed, specific, meaningful) — 30%
Message Quality (human-like, clear, client-ready WhatsApp summaries) — 25
System Reliability (handles all 8 clients smoothly, no failures) — 25%
Real-world Validation (authentic feedback + improvements applied) — 20%