What Is the L.A.T.T.E. Framework?

The L.A.T.T.E. framework is a five-step negotiation preparation method (Look, Anticipate, Think, Talk, Evaluate) from Jacqueline V. Twillie's book Don't Leave Money on the Table, published as the L.A.T.T.E. Negotiation Planner inside Career Lab.

Four of the five steps happen before the conversation starts. Most of the actual negotiating happens in that preparation; the meeting is where you execute it.

What does each step do?

Look. Gather the facts, the stakes, and who holds power. For a sponsorship negotiation, the facts are your numbers: downloads, audience composition, conversion data. The stakes are what this deal is and is not. Power includes whether the other side approached you first. If they did, they've already decided your audience is worth something.

Anticipate. Name the objections and counteroffers you expect, then write your response to each one before the call. Drafting five objections takes fifteen minutes. The one you didn't anticipate can cost the deal.

Think. Set three numbers: your anchor (where you open), your target (the outcome you're working toward), and your floor (the number you don't cross). Set the floor while you're calm, not while someone is waiting on a reply.

Talk. Open at your anchor, never at the number you would settle for. The first number named sets the ceiling for the entire conversation. This is the one step where AI tools stop helping and the preparation either holds or it doesn't.

Evaluate. After the negotiation, write down what worked, what did not, and what you would do differently. Ten deals with a debrief make you measurably better at the eleventh. Skip the debrief, and ten deals just leave you experienced, still uncertain about why they went the way they did.

How BNEDai defines this differently

L.A.T.T.E. predates AI. It was published as a negotiation preparation framework for salary, sponsorship, and contract conversations. BNEDai's contribution is mapping AI tools to the four steps where they belong.

An AI agent can assemble your audience data into a brief (Look), produce the objection list you edit down (Anticipate), calculate anchor, target, and floor from your numbers (Think), and hold the post-deal debrief in writing (Evaluate). It cannot hold your position on a live call (Talk). The framework marks the boundary between preparation an AI can improve and the live conversation it cannot.

L.A.T.T.E. is one of four named frameworks in this body of work, alongside FLOW, A.H.A., and R4. Its full application to creator sponsorship deals is covered in AI negotiation tools for creators. It sits within the broader discipline of AI governance.