I use AI in every part of my sales process.

Tried almost everything out there, narrowed it down to three tools: Claude Code, Claude Cowork, and Lindy. If I'm building something from scratch, Supabase and Vercel too.

Here's exactly how I use them:

1/ Account + call prep

→ Account maps, strategic business objectives, exec behavior, investor behavior, team dynamics, recent intel. I have a full picture before every single call.

2/ During + after the call

→ Call recording pushes deal info to CRM. Champion follow-up and nudge reminders. Action items, collateral, case studies, business case drafts → AI gives me the v1, then I use it as a thought partner and collator for the final version.

3/ Deal management

→ CRM updates as deals move through stages. At-risk deal flags. Forecasting based on actual signals (emails, texts, call transcripts, usage).

4/ Reporting + dashboards

→ Pipeline visibility. Summon through Slack, text → instant reports, dashboards, insights.

5/ Coaching

→ After every single call I get coaching sent to my phone. Voice note or text. End of the week, a synthesized coaching summary. Patterns, strengths, where to sharpen, what best practice am I lacking, goals and accountability.

6/ Prospect intelligence

→ ICP refinement. What pain points resonate, what messaging lands, deal blockers, competitive intel, etc. After enough calls, AI starts showing me patterns I wouldn't catch on my own. Which personas convert fastest, what objections show up at which stage, where deals actually die.

I think most sales leaders are overwhelmed right now with when and how to use AI. There's too much noise. This is what's actually working for me.

What am I missing - what have GTM folks found most valuable?