BOSSTORQUE · Internal Method Doc

The Deal-Stack Method

Required methodology for any task where the goal is to find the cheapest or best-value way to buy a product or service. Layered approach across retailers, inboxes, eBay, cashback portals, and credit cards. Skipping a layer means leaving money on the table.

PRIMARY RULE Tested May 13, 2026 Applies to all deal searches
"Shallow Walmart-only search returned $156 for the AC. The full stack confirmed $135 effective at Walmart Business with promo + portal cashback, and surfaced an Amazon Basics 5K BTU at $119.69 effective that would have been missed entirely. Savings come from layering — not from any single source."

When this rule applies

Any task framed as one of the following triggers the deal-stack method automatically. No need to explicitly invoke it.

If the task is something else (just answer a question, summarize a doc, build a campaign), this rule doesn't apply.

The six layers — in order

1

Retailer sweep, broadest fit-for-category

Don't start at one store. Sweep the right retailers for the product category before committing to any of them.

CategoryDefault retailers to check
Electronics / appliances / toolsWalmart, Amazon, Home Depot, Lowe's, Target, Best Buy, eBay, Costco · niche: AJ Madison, Town Appliance, B&H
ApparelAmazon, Target, retailer-direct, eBay, Macy's, Kohl's
Groceries / householdWalmart, Target, Amazon Fresh, Fred Meyer / Kroger digital, Costco, Bi-Mart (Eugene)
Tools / construction supplyHome Depot, Lowe's, Harbor Freight, Northern Tool, Grainger, eBay
Services / SaaSDirect vendor comparison + AppSumo / lifetime-deal sites

Use Chrome MCP for retailer pages — never raw web search. The browser surfaces extension popups (Karma, Honey, Capital One Shopping, TopCashback, SimplyCodes, ID.me) that feed the rest of the stack. Capture what each extension offers as it fires.

2

Gmail offer scan — both accounts

Search both jason@bosstorque.ai (business) and jasonparkerjohnson@gmail.com (personal) for live promo codes from the retailers in scope. Pull actual code text out of email bodies — don't just note that an offer exists.

(from:RETAILER OR from:RETAILER_DOMAIN) (promo OR coupon OR "% off" OR "$ off" OR cashback OR rewards) after:2026/01/01

Default scan window is the current calendar year unless the task specifies otherwise. Also check generic promo emails from:

Flag the expiration date on every code found. A code that expired last week is worse than no code at all — it sends the user down a dead path.

3

eBay via Browse API

Always include eBay. Use the ebay-browse-api skill (the global default — see bt-ebay-api-access-may2026). Filter by exact name-brand SKU when there's an apples-to-apples comparison available with major retailers.

Sort by Price + Shipping ascending. Note seller feedback %, location, shipping speed, total price including any shipping cost. Flag international sellers as a risk (avoid unless Jason agrees).

When a same-SKU result on eBay beats a major retailer by $10+, surface it as a top contender — but explicitly flag the shipping delay tradeoff.

4

Cashback portal layer

Pick exactly one portal per checkout — they're mutually exclusive. Capital One Shopping's browser extension auto-detects most major retailers and shows the rate inline. If the extension doesn't fire on a page, check the portal site directly.

MerchantTypical best portal (verify live)
WalmartCapital One Shopping (~4%) or Karma (2%)
AmazonCard-direct only (Amazon Visa 5%) — most portals don't cover Amazon
Home Depot / Lowe'sBeFrugal or TopCashback (1.5–2%)
TargetTopCashback (~2%)
Best BuyTopCashback (~1%)
eBayRakuten or TopCashback (1–3%)
Wayfair / Macy's / Kohl'sRakuten often wins
5

Credit card cashback layer (bottom of stack)

Jason carries two cashback cards. Always add this as the last layer of the stack unless he says otherwise.

Mark the rate "~2% TBD" until Jason confirms the exact percentage. Don't double-count if a portal already rebates a percentage — the portal flow uses the same card as tender. Card cashback is additive only on direct-checkout (no portal redirect) purchases.

6

Speed-vs-price matrix

Always present at least three paths so Jason picks the tradeoff. Don't assume the cheapest wins if it's slow, and don't assume the fastest wins if it's expensive.

PathSpeedEffective netWhy pick this
A — same-day pickupToday$XNeed it now
B — 1-2 day deliveryThis week$Y (usually best balance)Can wait a day or two
C — 5-10 day deliveryNext week$Z (rock bottom)Lowest absolute price

Verification step — mandatory before delivering

For each top-ranked option in the final recommendation:

  1. Navigate to the actual product page in the browser
  2. Confirm availability — in-stock at Jason's ZIP, not a generic listing hiding "ships in 3 weeks"
  3. Capture pickup time / aisle / delivery date in a screenshot
  4. Verify the promo code applies to the specific item (not behind a category exclusion)
  5. For eBay same-SKU matches, confirm the listing isn't refurbished, wrong color, or used when claiming new

If a verification step fails, demote that option and re-rank. Don't recommend something you only saw in a search summary.

Worked example — May 13, 2026 5K BTU window AC

The methodology applied to a single-room window air conditioner for Eugene 97402:

Walmart Midea MAW05M1WBL sticker$156.00
GETSTARTED15 (Gmail-discovered, jason@bosstorque.ai, exp 12/31/2026)−$15.00
Capital One Shopping portal (4% on $141)−$5.64
Mercury Credit cashback (~2% TBD on $135.36)−$2.71
Effective net cost — pickup today 12 PM, Eugene W 11th~$132.65

Compare against the Amazon Basics path:

Amazon Basics 5K BTU sticker$125.99
No Gmail promo codes found for this SKU$0.00
No portal layer (Amazon excluded from most portals)$0.00
Ollo card cashback (~2% TBD)−$2.52
Effective net — Prime delivery Friday May 15~$123.47

Path B wins on pure cost ($123 vs $133), Path A wins on speed (today vs Friday). Both got documented in the speed-vs-price matrix and Jason picked the tradeoff. Without the deal-stack method, neither stacked price would have surfaced.

Output template

# [Product] — Best Deal Sweep, [DATE]

[1-line winner statement with effective net and key path note]

## Top 5 options sorted by effective net cost
| Rank | Product · Source | Sticker | Coupon | Portal | Card | Net | Speed |

## Active coupons discovered in Gmail
| Source | Account | Offer | Code | Expires | Applies? |

## eBay results (same-SKU matches when applicable)
[Seller credibility, location, shipping speed, total]

## Three decision paths
A. Today pickup
B. 1-2 day delivery (best balance)
C. 5-10 day delivery (lowest absolute)

## Stores checked & eliminated
[Out-of-stock or not-carried items — shows breadth of search]

Voice tests for the deliverable

When to break the rule

If Jason explicitly says "just check Walmart" or "I already know I'm buying from Amazon, just find the cheapest there" — skip layers 1-3 and run the stacking math (4-6) on the constrained set. Otherwise, run the full stack every time. Don't shortcut on assumption.

Never skip

The Gmail scan (both accounts), the eBay check, the credit card layer, and the verification step. These four are where the actual savings show up. Skipping any of them means the recommendation is incomplete and Jason is leaving money on the table.

Cross-references