Every idea needs a real agent loop — a model that thinks, calls tools against the real world, observes the result, and recovers from failure. Nothing here is a plain chatbot.
If it's health, legal, HR or anything personal → choose an Ollama idea (MedLogix-style). Privacy becomes part of your story, not a limitation.
Pick a read-heavy idea — the agent gathers, reads, compares and reports. No write-access to production systems, no approval headaches.
Pick a scheduled idea — the agent runs on a cron, decides on its own when to speak, and logs why. That's the strongest "real agent" signal.
Finance, healthcare, logistics or security. Use their domain — the rubric rewards agents that handle edge cases and escalation, and they'll know the edge cases.
The loop runs without a human typing every step. It decides the next action itself and knows when to stop.
At least 3 tools across different systems (search, files/DB, external API). One tool = a fancy prompt, not an agent.
What happens when a tool fails, returns junk, or contradicts earlier data? Retry, replan, or escalate — show it explicitly.
Short-term scratchpad plus long-term store, so the agent improves or stays consistent across runs.
A defined approval gate for irreversible actions, and a clean escalation path. Reviewers love this.
You can show the trace: every thought, tool call, argument and observation. If you can't see it, you can't debug it.
A small test set with expected outcomes. Not vibes — a number that goes up when you improve the agent.
Token budget, caching, and a sensible choice between Cloud and local models.