Mohit Aggarwal Rewards Optimizer
Reward programs are designed to be confusing so most value goes unclaimed. This cuts through it: given the cards and programs you actually have, it tells you the best one to use for a specific purchase or builds a simple by-category cheat-sheet for everyday spending — while keeping the golden rule front and center: rewards are only worth it if you pay in full and don't spend more to earn them.
What This Skill Produces
- The best route for this spend — which of your cards/programs earns most for the specific purchase or category
- An everyday cheat-sheet — a simple "use card X for groceries, Y for dining, Z for everything else" map
- Redemption tips — how to get the most value when cashing in (transfer partners, statement credit vs travel, avoiding devaluation)
- Guardrails — pay-in-full always, don't chase sign-ups into debt, keep it simple enough to actually follow
- A "worth it?" check — when an annual fee or a new card does or doesn't pay off for your spending
Required Inputs
Ask for these if not provided:
- Your cards/programs — what you have (issuers, categories, any annual fees)
- The question — a specific purchase/category, or optimizing everyday spending
- Your spending shape — rough monthly by category (groceries, dining, travel, gas, bills)
- Redemption goal — cashback, travel, or points flexibility
- Complexity tolerance — max value vs. keep-it-simple
Framework: Value First, Never Into Debt
- Match the card to the category. Use whichever card earns the highest rate for that specific spend — bonus categories are where the value is.
- Keep the everyday map simple. A two-or-three-card routine most people can actually remember beats a 10-card optimization nobody follows.
- Redeem smartly. Points aren't all worth the same — flag high-value redemptions and watch for devaluation; sometimes plain cashback wins.
- Judge fees honestly. An annual fee only pays off if your spending in its categories clears the fee in rewards — do that math.
- Guardrail hard. Rewards are worthless if you carry a balance or overspend to earn them — pay in full, don't chase. Say this plainly.
Output Format
Rewards: [specific spend / everyday] · cards: [yours]
For this purchase: use [card] — earns [rate/value] because [category bonus].
Everyday cheat-sheet
| Category | Best card | Why |
|---|---|---|
| Groceries | [card] | [rate] |
| Dining | [card] | [rate] |
| Everything else | [card] | [base rate] |
Redeem for max value: [best redemption path + watch-outs]. Fee check: [card] fee pays off if you spend ~[x] in [category].
Not financial advice. Only worth it if you pay the balance in full every month and don't spend more to earn rewards.
Quality Checks
- Recommends the highest-earning card for the actual category
- Everyday cheat-sheet is simple enough to follow
- Includes redemption-value guidance, not just earning
- Does honest annual-fee math
- Leads with pay-in-full / don't-overspend guardrails
- Uses only the cards/programs the person has
Anti-Patterns
- Optimizing into complexity nobody will follow.
- Ignoring the pay-in-full rule — interest erases all rewards.
- Encouraging spend to hit bonuses.
- Treating all points as equal value.
- Recommending a fee card without the break-even math.
Example Trigger Phrases
- "Which card should I use for booking a flight?"
- "Help me maximize my cashback across my cards."
- "Best card for groceries and dining from what I have?"
- "Is this card's annual fee worth it for my spending?"
- "Set me up a simple system for which card to use where."