# Execution Scorecard: DIY Chrome extensions

Score: 40/100

Tier: Research first

DIY Chrome extensions scores 40/100 for execution readiness. The recommended next step is Run a landing page offering 'Describe a Chrome extension, we build it' and route 30-50 real prompt submissions through a manual/AI-assisted build process. Measure prompt-to-install completion rate, how many users keep the extension after a week, and willingness to pay for publishing or private team distribution via a paid preorder or $9 paywall before scaling automation.

## Bottlenecks
- Manifest V3's ban on remotely hosted code and mandatory store review means you cannot ship arbitrary AI-generated code dynamically; every published extension must pass Google's review, creating latency and rejection risk that breaks the 'instant' promise.
- Security and abuse: AI-generated extensions can request broad permissions or be used to build data-exfiltration/scraping tools, exposing the platform to Chrome Web Store policy violations, malware flags, and reputational liability.
- Crowded, fast-moving category with several funded entrants (Kromio, Emergent, Toolmark, Manus) plus general-purpose AI app builders that can add extension output, making differentiation and retention hard.
- Platform dependency: Google can change extension APIs, review policies, or pricing/distribution at any time, and a single policy shift could invalidate the core workflow.
- A broad AI assistant can flatten differentiation unless the wedge is painfully specific.
- The first release can become a generic dashboard if the job is not named tightly.
- Needs real buyer access, not only desk research.

## Accelerators
- Can talk to the buyer before writing much code.
- Can ship a narrow first-win demo quickly.
- Can use local-first research artifacts to keep validation moving without a large team.
- Use specificity as the wedge: one buyer, one workflow, one measurable result.
- Show proof earlier than broad competitors with before-and-after examples and small pilot data.
- Keep implementation lighter than incumbent suites or generic AI assistants.
- Concierge review or paid template

## Dated Launch Plan
- **2026-07-11 / Frame the wedge**: Write the one-sentence promise and test it in the strongest channel. Proof: Run a landing page offering 'Describe a Chrome extension, we build it' and route 30-50 real prompt submissions through a manual/AI-assisted build process. Measure prompt-to-install completion rate, how many users keep the extension after a week, and willingness to pay for publishing or private team distribution via a paid preorder or $9 paywall before scaling automation.
- **2026-07-14 / Interview 10 people who match the buyer persona.**: Create the lead magnet and use it to recruit interviews. Proof: Problem resonance: 5+ calls or 10+ detailed replies.
- **2026-07-18 / Ship a clickable demo or concierge workflow that produces the first useful artifact.**: Build the smallest demo that proves the first win. Proof: Activation: 25% of demo visitors complete the first-win path.
- **2026-07-25 / Run one paid pilot or collect explicit pricing objections before automating the rest.**: Delete any report section that feels generic before building. Proof: Commercial pull: 3 paid pilots, LOIs, or concrete procurement next steps.
- **2026-08-01 / Promote to a deeper build plan only after the wedge survives validation.**: Run the lead magnet and first-win demo tests. Proof: Fewer than five qualified buyers agree to discuss the workflow after targeted outreach.
- **2026-08-10 / Execution checkpoint 6**: Promote to deeper implementation only once the wedge survives interviews or paid-pilot outreach. Proof: Promote to a deeper build plan only after the wedge survives validation.

## Builder Prompt
Create a dated execution plan for "DIY Chrome extensions". Keep the first milestone tied to Run a landing page offering 'Describe a Chrome extension, we build it' and route 30-50 real prompt submissions through a manual/AI-assisted build process. Measure prompt-to-install completion rate, how many users keep the extension after a week, and willingness to pay for publishing or private team distribution via a paid preorder or $9 paywall before scaling automation.. Use these bottlenecks: Manifest V3's ban on remotely hosted code and mandatory store review means you cannot ship arbitrary AI-generated code dynamically; every published extension must pass Google's review, creating latency and rejection risk that breaks the 'instant' promise.; Security and abuse: AI-generated extensions can request broad permissions or be used to build data-exfiltration/scraping tools, exposing the platform to Chrome Web Store policy violations, malware flags, and reputational liability.; Crowded, fast-moving category with several funded entrants (Kromio, Emergent, Toolmark, Manus) plus general-purpose AI app builders that can add extension output, making differentiation and retention hard.; Platform dependency: Google can change extension APIs, review policies, or pricing/distribution at any time, and a single policy shift could invalidate the core workflow.; A broad AI assistant can flatten differentiation unless the wedge is painfully specific.; The first release can become a generic dashboard if the job is not named tightly.; Needs real buyer access, not only desk research.. Use these accelerators: Can talk to the buyer before writing much code.; Can ship a narrow first-win demo quickly.; Can use local-first research artifacts to keep validation moving without a large team.; Use specificity as the wedge: one buyer, one workflow, one measurable result.; Show proof earlier than broad competitors with before-and-after examples and small pilot data.; Keep implementation lighter than incumbent suites or generic AI assistants.; Concierge review or paid template. Link the output to the Idea Builder prompt and do not expand beyond the first validated workflow.