As of now, there’s no formal confirmation from OpenAI so treat December 9 as a strong possibility, not a certainty.

☐ One-sentence description: what the product is, clearly and simply.
☐ Problem & value: the customer pain and how your solution fixes it.
☐ Market sizing (TAM/SAM/SOM): verified numbers with transparent methodology.
☐ Audience definition: concrete segments with behaviors and needs.
☐ Unit economics: CAC, LTV, margins, and top operational metrics.
☐ Competitive map: 5–7 real alternatives and your position among them.
☐ Go-to-market: acquisition channels, costs, and scalability assumptions.
☐ Legal setup & IP: ownership, structure, and control of tech/data.

☐ Problem: why this matters now.
☐ Solution: product overview and edge.
☐ Market: size, momentum, catalysts.
☐ Traction: concrete data points and signals of demand.
☐ Business model: how money is made.
☐ Growth plan: 12–24-month roadmap and milestones.
☐ Team: skills, history, role clarity.
☐ Funding ask: round size, allocation, expected outcomes.
☐ Valuation logic: method, benchmarks, and rationale.

☐ Product demo: live or high-quality recording.
☐ 3-year financial model: revenue, costs, sensitivity cases.
☐ Metrics sheet: all KPIs in one place.
☐ Cap table: ownership, ESOP, obligations.
☐ Roadmap: goals, deadlines, and success indicators.

☐ Clear narrative: concise, structured, no jargon.
☐ Focused answers: only as deep as needed.
☐ Risk awareness: tech, market, and operations.
☐ Mastery of numbers: metrics, assumptions, and drivers.
☐ Precision: data, not opinions.

☐ Product usage: activation, retention, engagement.
☐ Sales: MRR/GMV, velocity, funnel data.
☐ Proof of demand: paying users, LOIs, pilots.
☐ Economics: CAC, LTV, payback windows.

☐ Ask: exact amount.
☐ Use of funds: 3–5 priorities.
☐ Expected outcomes: measurable KPIs tied to the round.
☐ Valuation approach: method and justification.

☐ Why this team?
☐ Why now?
☐ How do you enter and scale the market?
☐ What are the major risks and mitigation plans?
☐ What protects your moat?
☐ What drives long-term economics?

Optimus keeps being pitched as the future but moments like this keep reminding the internet that it’s not quite out of the training wheels phase yet.

Axiom may have just delivered a signal moment in automated reasoning and it puts the entire frontier-model race on notice.

In short: the internet updates nonstop, and now you have agents that keep up with all of it so you don’t have to.

If this model sticks, Slack could become the place where software planning, discussion, and actual code execution merge into one continuous loop.

The tools are becoming irreplaceable and we are turning into something closer to cyborgs. The line between human effort and machine support gets thinner every month.

With these additions, Perplexity transforms from a standard AI assistant into a fully featured, flexible productivity hub, all without paying a dime.

Your connection is always being checked, and now you have a tool that tracks it automatically so you have proof whenever you need it.