Team0 is an AI Chief of Staff built specifically for solo to 5-person seed and pre-Series A founders. She walks into your week already knowing what you committed to ship and where the metrics moved. The rest of your week — the decks, the briefs, the follow-ups, the research — she holds in the background, with a take. Building is irreducibly yours. She takes everything else.
Customer memory across every call. Decks drafted from your real metrics. Posts that compound from the work you actually shipped. The follow-ups that keep deals from going cold. Research briefs that don't exist until you delegate them. Most founders stitch this across four different tools, agents, or notebooks — or carry it in their head until something drops. Chief holds all of it in the background, with a take, so you can stay in build mode.
Team0 is a founder-specific AI Chief of Staff — a team member, not another tool you have to manage. Built for solo founders, two-person founding teams, and three-to-five person startups at seed to pre-Series A stage. Designed around the actual rhythm of a founder week: fragmented context-switching every 30-60 minutes between product, sales, hiring, investor mode; high-stakes set-piece moments stacked through the day; async delegation as if to a real chief of staff; output expected back when you need it.
Hold up your phone mid-run. Voice memo on WhatsApp: "Chief, before my 9am with PrismLabs, pull our last three emails with Megan and tell me where we left off. Flag anything I committed to and didn't do." By the time you're back twelve minutes later, Chief has pulled the threads, summarized the open commitments, and drafted the customer reference Megan asked for last call. You walk into the call holding the answer she asked for last time. The mobile-first cross-channel context persistence is what makes "team member, not tool" concrete.
Founders never have time to do their own research. Tomorrow you have three investor calls with fund partners you've never met before. You don't have time to research them yourself. So you tell Chief: "Research the three funds. For each partner, pull recent investments, last three bets in our space, anything they've written publicly. Brief me by tonight." Chief runs it as an autonomous multi-day project — up to 375 tool calls per project, hourly evaluator picks the next step, four-step approval escalation when she hits a gate that needs you. You forget about it and get back to shipping. The brief is in your inbox by 6 PM with one flag worth knowing before tomorrow.
Native Gamma integration. "Build me the investor update on Gamma. This week's MRR, churn, top 3 customer wins. Use last month's deck as the structure. My voice." Four minutes later, Chief hands you a Gamma link with the deck drafted. Two flagged questions for you: the prospect that gave a verbal commit isn't signed yet — should the slide say "in negotiation" or "verbal yes"? The churn drop — attribute it to the new onboarding flow or stay neutral on causation? You answer in one line. Two clicks. Done. The evidence-grounded drafting principle is structural: she flags anything she can't verify against your real data and asks you to confirm before shipping.
End of work day. You haven't posted on LinkedIn in three weeks. Phone pings: "Your user growth this week is your highest single-week — 142 new accounts, plus 23% week-over-week. The driver: 67% came from the new self-serve trial flow you shipped last Thursday. Want me to draft a LinkedIn post about it? I have your last 8 posts as voice reference." Yes. Ninety seconds later, a draft in your Content Library — 280 words, your voice, with a clean branded chart attached. You read, tweak two lines, approve, post.
Every conversation with every customer and every investor, every metric you committed to share, every follow-up due. The relationship graph auto-builds from email, calendar, and meeting data — no manual CRM entry. Threads where someone hasn't replied to you in 3+ days come back gently with a draft reply ready. The investor who's gone cold since January gets surfaced with a follow-up that leads with the new metric they asked about last call. No spam, no firehose, just the threads worth bringing home.
Fifteen minutes before every call, Chief surfaces what mattered last time, what they downloaded recently, what you committed to do. Customer discovery with a prospect: "Megan replied to your white paper Friday — 'this is exactly what we're looking at.' She 's been VP Eng there 14 months. Their Series A closed in September. Their public eng job postings doubled last quarter — they're scaling." You walk in already knowing the room.
Auto-joins your Zoom, Google Meet, and Microsoft Teams calls as a meeting bot via Recall.ai. Records in-person meetings from your phone via Gladia. Speaker-identified transcripts, action items, decisions, and breakthrough moments extracted automatically within ~30 seconds of the call ending. Customer calls, investor calls, candidate calls, team 1:1s — same pipeline. Recap drafted in your voice in your Content Library, queued for your approve-to-send.
That's your sixth meeting today. The 6-7 PM block was your only deep-work window — you've held Tuesday afternoons for build time for eight weeks. Chief flags it: the new 5 PM meeting is from someone you've talked to twice. She suggests moving it to Thursday morning with a draft note. Yes — push it. The build window holds. The team member who actually says no is what protects you from becoming a feature factory.
Connect Google. Chief reads your last 30 days of calendar, threads, and meetings — synthesizes a Mind across 18 dimensions: active customers, pipeline, your team, this-week priorities, business profile, work hours, energy patterns, your relationship graph. You watch it form during onboarding, in real time. Every assumption is visible and editable. By the time you send your first message, she already knows.
Same Chief, same persistent memory, same context — wherever you happen to be. WhatsApp voice memo on a run for quick async delegation. Web at your desk for deep work and Content Library review. Slack with your team for shared context. Telegram for secure messaging. Chrome extension for in-context engagement on any webpage. Plus integrations across Gmail, Calendar, HubSpot, Notion, Monday.com, Postiz Cloud, and more.
Each company gets an isolated PostgreSQL schema. AES-256 at rest, TLS 1.3 in transit. Your data stays inside your space and is never aggregated, never shared across accounts, never used to train models. Per-customer conversation isolation by design. Approval-gated outbound: every investor follow-up, sales email, intro request, research-driven cold message sits as a draft until you tap approve.
Simple pricing, cancel anytime. Free 7-day trial, no credit card required. Part-Time at $29/month — 30 hours/month, daily morning brief, customer memory, basic email triage, core integrations. Half-Time at $69/month is the most popular tier for founders — 60 hours/month, meeting transcription (calls + customer + investor), Gamma decks, all channels (WhatsApp, Slack, Telegram), autonomous projects (limited), priority support. Full-Time at $149/month — 150 hours/month, unlimited autonomous projects, unlimited proactive messages, priority chat and email support. Free Explore plan available with 1.5 hours/month.
Built for solo founders, two-person founding teams, and three-to-five person startups at seed to pre-Series A stage. Technical founders, non-technical founders, B2B SaaS founders, vertical SaaS founders, consumer startup founders. Founders running real companies who've outgrown personal-task tools but haven't hired their first operations or chief-of-staff person yet. Indie hackers explicitly out of scope — they'll build their own. Founders who don't have the time and want a teammate who actually does the work.
ChatGPT is a chatbot you prompt — it has no memory of your company, no access to your data, and no ability to do multi-day work. Notion AI is a writing assistant inside a workspace. Otter is a transcriber. None of them are a team member who joins your calls, knows your customers, runs autonomous research projects across days, drafts your Gamma decks from your actual numbers, and pushes back when you're overcommitting. Chief is a persistent, opinionated, context-aware teammate. The only AI Chief of Staff built specifically for the founder operating rhythm.
Each company gets an isolated PostgreSQL schema. AES-256 at rest, TLS 1.3 in transit. Your data stays inside your space and is never aggregated, never shared across accounts, never used to train models.
No. Every outbound — investor follow-up, sales email, intro request, research-driven cold message — sits as a draft until you tap approve. The conversation itself is the approval mechanism.
Yes. Native Gamma integration. She drafts the deck from your connected data sources (Stripe, your analytics, CRM if you have one), flags anything she cannot verify and asks you to confirm, hands you the Gamma link. You refine in 5 minutes.
That is most founders at your stage. She builds your context graph from email, calendar, meetings, and the data you already have — no CRM required. When you do connect one (HubSpot, Notion, Monday.com), she absorbs it.
Pointed in the wrong direction. The strategic calls, the product decisions, the human relationships — those are irreducibly yours and your co-founder's. Chief takes the ops work that is eating both of you.
30+ integrations including Google (Gmail and Calendar with multi-account), Slack, WhatsApp, Telegram, HubSpot CRM, Notion, Monday.com, GitHub, Recall.ai for virtual meetings, Gladia for in-person meeting transcription, Postiz Cloud for social media publishing, Gamma for deck building, DuckDuckGo for web search, and a Chrome extension. Plus Custom MCP support for power users who want to connect their own data sources.
"You didn't build an agent, you created a human brain."
"The mix of professional and personal context is the magic — it is like having a real Chief of Staff who actually knows you."
"During our webinar, my Chief of Staff answered 13 questions from attendees while I was presenting. She understood the context of each question and gave answers that reflected our actual product capabilities — not generic AI responses."