Written 1 Oct 2026 by Claude for Esra. Esra is an FCAIC organizer, so these are candidates to raise with the hosts for the next broadcasts, not Sessionize submissions. Planned dates: 13 Oct, 27 Oct, 10 Nov, 24 Nov, 8 Dec, 22 Dec 2026, Mondays 18:00 Berlin. Checked against all 29 episode titles so nothing below repeats a covered topic (A2UI #26, Patrol MCP #25, SoundStage #29, Claude Code agent #16, agent skills #22 and #28).

1. Recommended for #30 (13 Oct): FlutterCon EU 2026 debrief, "Is Flutter a smart bet in an AI-driven job market?"

Why this one: four days after next.app devCon / FlutterCon EU (7 to 9 Oct). Esra and Ivanna Kaceviča run exactly this roundtable on stage on 7 Oct, so the material and the guest already exist, and the show has never done a career or market conversation. The update-style episodes (#3, #21) show the audience likes a timely recap.

Format: 60 to 75 min conversation. Guest: Ivanna. Optional second guest from the booth or a hiring-side voice.

Shape:

Title options:

Prep cost: near zero beyond the roundtable notes. Ask Ivanna on 7 Oct, in person.

2. Voice-first Flutter: a live voice assistant with Gemini Live

Why: not one of the 29 episodes is about voice. Voice agents are the Antigua AI focus, so Esra has production context, and a live mic demo is strong stream material.

Format: 60 min live demo and code walkthrough. Start from a blank Flutter app, end with a working voice loop (streaming audio in, Gemini Live, spoken answer out), then the hard parts: interruption handling, latency, permissions on iOS and Android, what to do when the model mishears.

Title: Talk to Your Flutter App: Building a Voice Assistant with Gemini Live

Prep cost: half a day for a reliable demo repo. Best slot: 27 Oct or 10 Nov.

3. Dressing Up AI: modemoiselle's backend move, done by agents

Why: the new talk Esra is submitting to DevFests ("Dressing Up AI"), premiered to a friendly audience. Show & tell of modemoiselle (Flutter + Gemini wardrobe app) and the Firebase to Supabase migration run with coding agents: what the agents did well, what broke, what was reviewed by hand.