THE AI SALES COOKBOOK/THE TASTING MENU/THE AI-NATIVE GTM DINNER

The AI-Native GTM Dinner

Everyone says go AI-native and hire a GTM engineer, so the org chart gets more complex and the number still does not move. This is Series 1 of build better as one runnable playbook: the loop, the context, the signal-to-motion, and the closed loop that makes GTM compound, across all four episodes.

TASTE TEST PASSED · RAN IN PRODUCTION
PREP ~30 MIN  ·  COOK DAYS TO WEEKS  ·  EFFORT LARGE  ·  SERVES THE WHOLE TEAM
MEDIA · THE DISH, COOKED
Walkthrough video: the whole recipe run once, start to plated.

DIRECTIONS

  1. 1
    Solve The Problem

    Get to the crux of the workflow that costs you the most.

    COOK WITH THE CRUX DRILL-DOWN · OURS: solve-the-problem · OR YOUR OWN

    MEDIA · STEP 1 SCREENSHOT
    What this step's output looks like
  2. 2
    Stack The Tech

    Stack the right tools and signals for that workflow.

    COOK WITH THE TECH-STACKING PASS · OURS: stack-the-tech · OR YOUR OWN

    MEDIA · STEP 2 SCREENSHOT
    What this step's output looks like
  3. 3
    Cut The Drag

    Take the non-selling work off your reps so they sell.

    COOK WITH THE DRAG-CUTTING PASS · OURS: cut-the-drag · OR YOUR OWN

    MEDIA · STEP 3 SCREENSHOT
    What this step's output looks like
  4. 4
    Keep The Judgment

    Split the drag from the judgment: name who owns the calls that stay human.

    COOK WITH THE HUMAN-IN-THE-LOOP SPLIT · OURS: keep-the-judgment · OR YOUR OWN

    MEDIA · STEP 4 SCREENSHOT
    What this step's output looks like
  5. 5
    Define Your Icp

    Get the substance right: define your ICP before you build.

    COOK WITH AN ICP DEFINITION · OURS: define-your-icp · OR YOUR OWN

    MEDIA · STEP 5 SCREENSHOT
    What this step's output looks like
  6. 6
    Run the context pack

    Pour the ICP into context-pack's five-question orientation template (what this is, where things live, decisions so far, open items, next move) so any agent or teammate reads one structured pack instead of re-deriving context, not a documented CLAUDE.md-brain capability.

    COOK WITH A CONTEXT PACK · OURS: context-pack · OR YOUR OWN

    MEDIA · STEP 6 SCREENSHOT
    What this step's output looks like
  7. 7
    Build Signal Library

    Build the signal library: detection, decay, and combinations.

    COOK WITH A BUILD SIGNAL LIBRARY · OURS: build-signal-library · OR YOUR OWN

    MEDIA · STEP 7 SCREENSHOT
    What this step's output looks like
  8. 8
    Run the trigger outreach

    Wire the freshest signal to a booked motion before it goes stale.

    COOK WITH A SIGNAL-TRIGGERED OUTREACH PLAY · OURS: trigger-outreach · OR YOUR OWN

    MEDIA · STEP 8 SCREENSHOT
    What this step's output looks like
  9. 9
    Run the pattern analyst

    Feed outcomes back into your ICP and signal library.

    COOK WITH A PATTERN ANALYST · OURS: pattern-analyst · OR YOUR OWN

    MEDIA · STEP 9 SCREENSHOT
    What this step's output looks like
  10. 10
    Run the qa agent

    Watch the system for scoring blind spots and CRM gaps, and turn every miss into a training signal.

    COOK WITH A QA AGENT · OURS: qa-agent · OR YOUR OWN

    MEDIA · STEP 10 SCREENSHOT
    What this step's output looks like
  11. 11
    Run the evolution agent

    Read the QA findings and propose the next tweak to scoring and signals, you approve.

    COOK WITH AN EVOLUTION AGENT · OURS: evolution-agent · OR YOUR OWN

    MEDIA · STEP 11 SCREENSHOT
    What this step's output looks like

THE FINISHED DISH · WHAT YOU SERVE

A workflow you framed instead of a hire, a context pack any agent can read, a signal wired to a booked motion, and a closed loop where the outcome changes the next action.

MEDIA · THE PLATED RESULT
The finished deliverable, redacted, exactly as it looks when the recipe is done

GO DEEPER · The full playbook page carries the guide, the proof build, and the receipts. Read it.