How a Microscoff gets made.

Start with a reproducible failure.

Collect the company, product, platform, account context, exact action sequence, frequency, consumer harm, and supporting evidence. Select cases that are repeatable, consequential at scale, apparently fixable, and more than a preference or isolated bug.

Make the evidence legible—and safe.

Original screenshots, recordings, emails, receipts, and support transcripts stay private until cleared. Remove names, addresses, email metadata, account suffixes, transaction identifiers, QR codes, and all authentication material.

Preferred public treatment

Use semantic HTML/CSS reconstructions for email and interface evidence. They are accessible, responsive, searchable, and cannot accidentally retain hidden image metadata. If a source screenshot is essential, redact it locally, inspect the final pixels at full resolution, then upload it through the Sponic image catalog.

Guests—not attributed summaries.

The standard panel is five current frontier models. Verify each exact callable model identifier and capture date. Assign an initial seam—security, cost, architecture, culture, or cross-examination—but let later guests read and challenge every earlier turn.

Record provider, model/deployment, timestamp, prompt version, raw response, finish reason when available, and whether the published turn is complete or abridged. Model output is not a factual source; fact-check it separately with primary sources.

Build an argument with a plot.

1. Cold open: the consumer experience.
2. Privacy-safe evidence.
3. Rahul’s opening question.
4. Guest answer in full.
5. Rahul hands a different seam to the next guest and invites correction.
6. Continue around the panel; disagreement stays visible.
7. Interactive model or show notes, where useful.
8. Final round: live agreements, unresolved disputes, and the experiment that could settle them.
9. Company right of reply and corrections log.

If editors synthesize the discussion, label it “Editor’s synthesis”—never “Panel consensus.”

Give every episode a visual system.

• Unique Azure GPT‑Image‑2 hero, composed for a safe 1.91:1 social crop.
• Separate share image when the hero will not crop cleanly.
• At least one privacy-safe evidence reconstruction.
• One visual explaining the central mechanism.
• Descriptive alt text and explicit labels: evidence, reconstruction, chart, or generated illustration.

All generated and uploaded imagery flows through the catalog wrapper into R2 and public.images. Generated illustration never masquerades as evidence.

Publish only after the chain holds.

• Behavior reproduced or adequately documented
• Personal and account data removed
• Every model attribution checked against raw output
• Abridgment and pending seats labeled
• Model claims fact-checked
• Scenario estimates separated from facts
• Strongest defense included
• Company response route included
• Image catalog URLs return 200
• 320px through desktop tested
• OG and Twitter metadata verified
• Analytics cannot break core controls
• Review gate completed
• Production DOM and redirects verified