Foundation
- 01Define the business objective
- 02Map AI opportunities
- 03Build the Business Context File
- 04Codify brand truth and voice
- 05Create the approved-claims register
- 06Define QA and safety rules
Business / D2C Founder OS / Edition 2026.1
Turn scattered AI chats into a reusable operating system for understanding customers, building offers, creating campaigns and learning from results.
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The operating journey
No teaser fragments
Open a workflow. The paid guide applies this same contract to all forty-two jobs.
Inputs
Example / Nivasa Home
Input: Nivasa sells one ₹1,299 organiser. Washable claim is tested. Recycled-cotton percentage awaits certificate.
Output: Approved: washable per care test dated 12 Aug. Prohibited pending evidence: '70% recycled cotton'. Unknown: repeat-purchase window.
Master prompt
Quality checks
Next action
Assign one owner and review the file whenever product, policy or positioning changes.
Common failure: Filling gaps with plausible copy and quietly turning guesses into brand facts.
Inputs
Example / Nivasa Home
Input: 27 organiser reviews; 11 mention clearing the dining table and 5 mention soft sides collapsing.
Output: Strong job language: 'clear the table in one trip.' Product risk: structure. Do not claim 'holds its shape' until validated.
Master prompt
Quality checks
Next action
Add validated language to the insight bank and route product risks to the owner.
Common failure: Using a handful of vivid comments as if they represent the entire market.
Inputs
Example / Nivasa Home
Input: Organiser plus cable pouch and washable desk mat.
Output: Remote-work reset bundle: carry, connect, clear. Test ₹1,899 vs individual ₹2,147; verify shipping weight and whether mat increases the same job's completion.
Master prompt
Quality checks
Next action
Prototype the bundle page and test comprehension before committing packaging inventory.
Common failure: Bundling three unrelated items because the arithmetic permits a discount.
Inputs
Example / Nivasa Home
Input: Evening-reset angle with a one-trip demonstration.
Output: Hook: 'Dinner in two minutes. Desk gone in one trip.' Use as a scene target, not a product-time claim, unless the demonstration is timed and representative.
Master prompt
Quality checks
Next action
Produce six cells: three angles by two hook devices, with naming conventions in the ad account.
Common failure: Changing audience, offer, format and hook together, making results uninterpretable.
Inputs
Example / Nivasa Home
Input: Does it fit a 16-inch laptop? Internal usable width is 39 cm; device sizes vary.
Output: 'The main section is 39 cm wide. Please share your laptop's width (not screen size) and we'll confirm before you order.'
Master prompt
Quality checks
Next action
Load the top 15 replies into the approved library and review unresolved-rate weekly.
Common failure: Writing long promotional paragraphs that avoid the customer's actual question.
Inputs
Example / Nivasa Home
Input: Revenue +18%, CAC +31%, AOV +4%, one influencer post and two out-of-stock days.
Output: Growth came with weaker acquisition efficiency. Do not attribute lift to the influencer yet; stockouts and channel mix confound. Decide spend cap and instrument referral source.
Master prompt
Quality checks
Next action
Resolve the highest-impact decision in the weekly meeting and record the rationale.
Common failure: Explaining every movement confidently and burying the one decision the founder must make.
One fictional brand throughout
A fictional Indian home-and-lifestyle brand travels from objective and customer evidence through offer, creative, support, metrics and scale. Short beauty, jewellery and food adaptations appear where category risk changes the workflow.
Edition policy
Corrections, link repairs and provider-adapter notes stay in edition 2026.1. A substantial rewrite becomes a new edition with a separate upgrade path.
This guide supports judgement. It does not approve legal, financial, environmental, health or platform claims.