Automate the post-call follow-up sequence end to end: trigger on the transcript, classify the call outcome, draft a 3-step sequence with timing and exit rules, and land it in the AE's CRM for approval.
Build a CRM enrichment pipeline that catches new HubSpot contacts, fetches firmographic and web signals, asks ChatGPT for structured fields, and writes back the routing owner and ICP fit score.
A working 2026 blueprint for monitoring competitor ad spend with AI: ad library sources, normalized schema, a Claude weekly brief prompt, and a vendor scorecard.
A working 2026 blueprint for an automated SERP tracking pipeline with SerpAPI and Claude: architecture, runnable Python, signals, cost discipline, and a vendor scorecard.
A working blueprint for tracking competitor LinkedIn content week by week: Phantombuster collects, Claude classifies, Notion stores the rollup. Architecture, prompts, code, and an ethics-first ToS posture.
A working blueprint for a weekly competitor brief: Perplexity API pulls cited research, Claude-quality JSON parses the signal, Notion stores the rollup. Architecture, prompts, code, and an evaluation rubric.
A working blueprint for a daily competitor monitoring agent: Firecrawl scrapes the pages, Claude classifies the diff, a router fires alerts. Architecture, prompts, code, and an evaluation rubric.
A working Make scenario that watches competitor pricing pages every morning, asks ChatGPT to read the diff, and emails a one line summary with the plan, the old price, and the new price.