Selling at AI Speed

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practitioner

en

• Read a leverage map that separates where AI is decisive (research speed, draft scaffolding, signal ranking, summarization) from where human judgment stays decisive
• Install and run a coding agent such as Claude Code, with fallbacks to Cursor, Codex CLI, or Gemini CLI
• Use the describe-codes-run-fix loop to build a working tool from a plain-English prompt
• Build a custom lead-scoring tool from your prospecting data
• Build a pipeline report that extends your forecasting workflow
• Build an outreach personalizer that drafts messages at scale
• Decide when not to use a coding agent (a native CRM or Apollo feature exists, data is too sensitive, or wrong numbers would reach a board deck)

• Url: https://aiacademy.anthropos.work/chapters/sales-ai-intro/ · AI for Sales: Start Here · Position: 1 · Orientation across the AI for Sales stack — why AI is rewriting EVERY stage of the funnel in 2026, the six-course map (start with the Pre-Call Dossier for a first win, then the funnel line: prospecting → outreach → forecasting → proposals; plus Coding-Lite for Sales cross-cutting the funnel), the leverage map separating where AI is decisive (research speed, draft scaffolding, signal ranking, summarization) from where the human stays decisive (judgment, trust-building, accountability, verification), the concrete capabilities at stack end, and the pick-by-pain table that picks your starting course (default: sales-prospecting)
• Url: https://aiacademy.anthropos.work/chapters/sales-call-prep/ · The Pre-Call Dossier · Position: 2 · Walk into any call in ten minutes knowing the account, the people, and the angle — a five-block dossier you build with AI, verify yourself, and scan in sixty seconds at the door.
• Url: https://aiacademy.anthropos.work/chapters/sales-prospecting/ · Find Accounts Ready to Buy · Position: 3 · Replace the bought list with a live signal watchlist — spot the accounts that just changed, research them with receipts, and open Monday with a ranked call list.
• Url: https://aiacademy.anthropos.work/chapters/sales-outreach-scale/ · Outreach at Scale, Facts Verified · Position: 4 · A draft-verify-send routine that scales personalized outreach from a plain CSV export — and never ships a claim about the prospect you can't check in 30 seconds.
• Url: https://aiacademy.anthropos.work/chapters/sales-pipeline-forecasting/ · AI-Assisted Forecasting · Position: 5 · Score every deal from a plain CRM export and walk into the Monday forecast call with receipts — evidence per deal instead of vibes, no admin rights required.
• Url: https://aiacademy.anthropos.work/chapters/sales-proposals/ · Proposals That Close · Position: 6 · From discovery notes to a signable draft in about an hour — assembled from your own won-deal kit, priced in three options, and reviewed like the contract it is.
• Url: https://aiacademy.anthropos.work/chapters/coding-lite-for-sales/ · Coding-Lite for Sales · Position: 7 · Bridge from knowledge-worker AI use to AI engineering for sales — reframe the "I'm not a developer" mental block (the new floor: reps who can ship a small custom tool are 10× more leveraged than reps who can't), install a coding agent once (Claude Code as the worked example with explicit escape hatch to Cursor / Codex CLI / Gemini CLI), learn the describe-codes-run-fix loop, ship three running mini-projects in your actual workflow (pipeline report extending sales-pipeline-forecasting, custom lead score extending sales-prospecting, outreach personalizer extending sales-outreach-scale Tier 2) with the EXACT reproducible prompts, recognize when NOT to use a coding agent (native CRM/Apollo feature exists, data too sensitive, silently-wrong-numbers in a board deck), and walk away with a coding-lite system — folder structure, three running tools, weekly cadence

• Read a leverage map that separates where AI is decisive (research speed, draft scaffolding, signal ranking, summarization) from where human judgment stays decisive
• Install and run a coding agent such as Claude Code, with fallbacks to Cursor, Codex CLI, or Gemini CLI
• Use the describe-codes-run-fix loop to build a working tool from a plain-English prompt
• Build a custom lead-scoring tool from your prospecting data
• Build a pipeline report that extends your forecasting workflow
• Build an outreach personalizer that drafts messages at scale
• Decide when not to use a coding agent (a native CRM or Apollo feature exists, data is too sensitive, or wrong numbers would reach a board deck)

It is for sales professionals such as reps, account executives, and sales ops who want more leverage from AI across prospecting, outreach, call prep, forecasting, and proposals. It is built for practitioners, not engineers.

Course Mode: online · Course Workload: PT149M · Mode: online