First Turn Labs

Dadbot

An AI group member that makes friend groups hang out in real life more often.

Dadbot lives inside the group chat people already use. It absorbs the social risk of being the planner, knows when to stay quiet, and turns loose intent into polls, reservations, reminders, recaps, and actual plans.

Group-chat nativeLive dogfoodShould-I-Speak evalsMemory + coordination

Adult friendships decay because of coordination friction, not lack of desire. Dadbot is infrastructure inside the chat that already has the relationships.

Product loop

The planner that earns its place.

The core technical bet is not just making an LLM funny. It is teaching an agent to understand social timing: when to suggest, when to joke, when to remember, and when to stay quiet.

01Listen

Reads the chat in context, detects intent, and decides whether the right move is a joke, a proposal, a memory callback, or silence.

02Calibrate

Uses a Should-I-Speak governor, trust ladder, and group mode so it earns permission before becoming proactive.

03Coordinate

Moves from vague interest to polls, real options, private booking confirmation, group confirmation, and reminders.

04Remember

Builds group context from onboarding, chat, dossiers, preferences, inside jokes, and past plans.

Feature map

From messy chat energy to actual follow-through.

Agent brainOne model decides what to say and whether to say it.

Dadbot uses a single-brain architecture so the product does not double-send competing jokes, polls, roasts, and suggestions.

Silence governorThe hard part is knowing when not to talk.

The Should-I-Speak layer weighs direct address, group energy, recency, and budget. It is backed by real transcript fixtures.

Trust ladderProactivity is earned.

Dadbot gets more helpful when the group engages, and gets quieter when ignored or told to chill.

Group modesDifferent chats need different personalities.

Proactive, Focused, and Assistant modes let Dadbot live in dad, family, and planning chats without the wrong tone leaking in.

MemoryDossiers and group personality make it feel local.

Member profiles, onboarding answers, preferences, inside jokes, and local context feed future replies without turning into surveillance theater.

SafetyEvery outbound goes through controls.

Roster validation, tone checks, quiet hours, budgets, and kill switches make the bot manageable as it gets more capable.

Social coordination

The center of the product is finishing the plan.

Dadbot turns "we should grab dinner" into ranked options, a real poll, a private booking handoff, group confirmation, reminders, and a recap. The same loop works for events, RSVPs, calendars, and recurring nudges.

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Reservation flow

Polls and reservation options turn vague intent into a concrete next step.

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Memory layer

The bot remembers who follows through, favorite venues, and the group's planning style.

Surfaces

A group member, not another destination.

PlanningReservation concierge

Suggestion capture, ranked real options, group polls, private booking handoff, confirmation, reminders, and recap.

SocialEvents, polls, and RSVPs

Full lifecycle from proposed to polling, confirmed, reminded, and recapped.

SportsLive game companion

World Cup play-by-play, match scouting, standings snapshots, bracket-pool integrations, and prediction tools.

MediaMemes, links, and photos

GIF timing, scheduled drops, image reactions, URL unfurling, and X/Twitter post reading.

CalendarCalendar agent

Reads and writes calendar events from chat, with reminders that respect quiet hours.

OpsAdmin dashboard

Dossiers, roster editing, message feed, manual sends, kill switches, and retry tools for operational control.

Sports + media
Sports + media

Sports, live game calls, bracket context, prediction tools, and chat-native commentary.

Admin controls
Admin controls

Dossiers, roster editing, message feed, manual sends, retries, budgets, and kill switches.

Current state

Founder-dogfooded, shipping fast.

Dadbot is still early. It is a live production prototype with unusually high product surface area, tight dogfood feedback, and a clear next milestone: more real friend groups.

Live in productionDogfooded daily in a real neighborhood dad group on iMessage.
Full stack provenPlanning, sports coverage, media reactions, memory, admin controls, and multi-transport messaging are working end to end.
Eval-gated iterationThe Should-I-Speak behavior is measured against transcript fixtures so social calibration can improve without guesswork.
Next milestoneMove from one deeply used group to three to five friend groups with tight feedback loops.

Talk to us

Want to try Dadbot with a real group?

We are looking for a small number of friend groups who already have the group chat, the intent, and the planning friction.