persona section: scenario-based personas + cinematic photography + pain stats

PERSONA OVERHAUL:
- Personas now defined by WHAT THEY DID, not job titles
- 'Charity Manager' -> 'You organized the dinner'
- 'Personal Fundraiser' -> 'You shared the link'
- 'Volunteer' -> 'You were on the ground'
- 'Organisation/Programme Manager' -> 'You claim the Gift Aid'

SECTION HEADING:
- Brand core insight: 'People don't break promises. Systems do.'
- Eyebrow: 'THE PLEDGE GAP'
- Sub: 'We built the missing system between I'll donate and the money arriving.'

PAIN STATS (visual anchors):
- £50,000 pledged / £22,000 collected (the gap)
- 23 said I'll donate / 8 actually did
- 40 pledges collected / 0 updates received
- 200 rows, 47 typos / 6 hours every quarter

COPY: Emotionally precise, tells each persona's specific story

PHOTOGRAPHY (4 cinematic moment shots):
- Dinner aftermath: empty table with lone pledge card, chandeliers
- Phone: hands on WhatsApp at kitchen table, warm light
- Volunteer: seen from behind, walking between gala tables with cards
- Desk still life: laptop spreadsheet, papers, tea, window light
- All 2:1 wide aspect, 2.7MB -> 260KB optimized

gen_personas_v2.py

@@ -0,0 +1,84 @@
+"""Generate 4 cinematic persona images — moment shots, not portraits.
+Wide 2:1 aspect ratio for editorial strip layout.
+"""
+import os, time
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from google import genai
+from google.genai import types
+
+client = genai.Client(api_key="AIzaSyCHnesXLjPw-UgeZaQotut66bgjFdvy12E")
+OUT = "pledge-now-pay-later/public/images/landing"
+
+PROMPTS = {
+    "persona-01-dinner.jpg": (
+        "End of a charity fundraising dinner. A round banquet table, white tablecloth slightly rumpled. "
+        "A single small pledge card sits slightly askew on the tablecloth near an empty water glass. "
+        "Chairs pushed back. Warm tungsten chandelier light creates golden glow. A few guests leaving "
+        "in the far background, blurred. Crumpled napkin. The generosity happened here, but the table "
+        "is emptying. Cinematic wide shot, melancholy but beautiful. No one looking at camera. "
+        "Shot on Leica Q2, 28mm, f/1.7, available light. Portra-like color rendering. "
+        "2:1 landscape aspect ratio."
+    ),
+    "persona-02-phone.jpg": (
+        "Close-up of a British South Asian woman's hands holding a smartphone above a wooden kitchen table. "
+        "The phone screen shows a messaging app with a green chat bubble. Warm afternoon window light "
+        "from the left illuminates the scene. Shallow depth of field - the rest of the table (a mug, "
+        "a notebook) is softly blurred. Her sleeves are pushed up casually. Intimate, everyday, relatable. "
+        "Not looking at camera - we only see hands and phone. "
+        "Shot on Sony A7III, 55mm, f/1.4, natural light. Warm, honest. "
+        "2:1 landscape aspect ratio."
+    ),
+    "persona-03-volunteer.jpg": (
+        "A young British South Asian man with a lanyard and dark polo shirt, seen from behind and slightly "
+        "to the side, walking between round dinner tables at a charity gala. He carries a small stack of "
+        "cards in one hand. Seated guests in smart dress at the white-clothed tables. Warm golden gala "
+        "lighting, crystal chandelier bokeh in the upper background. The volunteer is in motion, purposeful. "
+        "Not looking at camera. Other volunteers visible but blurred. Energy, purpose, youth. "
+        "Shot on Canon EOS R5, 35mm, f/1.8, available light. Documentary candid event photography. "
+        "2:1 landscape aspect ratio."
+    ),
+    "persona-04-desk.jpg": (
+        "A clean wooden desk photographed from a 45-degree overhead angle. An open laptop shows a "
+        "spreadsheet with organized rows and a green progress indicator. Beside the laptop: a neat stack "
+        "of printed A4 papers with a black binder clip, a fine-point pen, and a ceramic mug of tea. "
+        "Soft morning window light from the left creates gentle shadows. No person visible - just the "
+        "workspace. Everything is orderly, calm, under control. Documentary still life. "
+        "Shot on Fujifilm GFX 50S, 63mm, f/4.0, natural light. Calm, precise. "
+        "2:1 landscape aspect ratio."
+    ),
+}
+
+def generate(filename, prompt):
+    t0 = time.time()
+    print(f"  [GEN] {filename}...")
+    try:
+        resp = client.models.generate_content(
+            model="gemini-3-pro-image-preview",
+            contents=prompt,
+            config=types.GenerateContentConfig(
+                response_modalities=["TEXT", "IMAGE"],
+            ),
+        )
+        for part in resp.candidates[0].content.parts:
+            if part.inline_data:
+                path = os.path.join(OUT, filename)
+                with open(path, "wb") as f:
+                    f.write(part.inline_data.data)
+                sz = os.path.getsize(path) / 1024
+                print(f"  [OK] {filename} -- {sz:.0f}KB ({time.time()-t0:.1f}s)")
+                return filename, True
+        print(f"  [FAIL] {filename} -- no image in response")
+        return filename, False
+    except Exception as e:
+        print(f"  [FAIL] {filename} -- {e}")
+        return filename, False
+
+if __name__ == "__main__":
+    print(f"Generating {len(PROMPTS)} cinematic persona images...")
+    ok = 0
+    with ThreadPoolExecutor(max_workers=2) as pool:
+        futures = {pool.submit(generate, fn, p): fn for fn, p in PROMPTS.items()}
+        for f in as_completed(futures):
+            _, success = f.result()
+            if success: ok += 1
+    print(f"\nDone: {ok}/{len(PROMPTS)} ok")