We have closed over $900K+ using this one system. We are using Claude X GojiberryAI for this system! We built a high intent ICP verification inside claude First we use gojiberry’s agent to find: High intent data for us in volume like: - people engaging with our content + our competitors - Job hirings And more 20+ such warm intent signals Then we use claude to make it more higher in intent: 1. What they will like for their age 2. Finding micro decision makers of an organisation 3. How many years they are in the decision making role 4. Are they following 2021 tool stacks? Or new 6. When did the company hire last 7. What are events that happened there recently 8. Any repeated content on their socials 9. New launches on G2/Product hunt that is relevant for us Gojiberry agent gives us high intent warm signals ⬇️ Claude filters and makes it even higher intent. ⬇️ Then again we use gojiberry to reach them out on LinkedIn (all automated) but it looks super human This is something followed by 5% of companies right now… I can only fit so much here!! But if you comment “intent” I will send you the detailed map we use.

🚨 BREAKING : Anthropic just dropped Agent Teams Now you can run multiple Claude agents in parallel with ZERO setup ! 2 weeks ago, developers found this fully built in Claude Code's binary Hidden. Feature-flagged off. Ready to ship. 2 days ago, Anthropic made it official ! 📌 Here's what just became possible : Multiple Claude instances now work together on your codebase → Lead agent coordinates → Teammates work independently → Each has its own context window → They message each other directly One researches while another debugs while a third builds All at once. Zero human orchestration The killer feature ? "Competing Hypotheses Debugging" App crashes. You don't know why Spawn 5 agents. Each investigates a different theory. They try to disprove each other → The one that survives is your answer ! 📌 How to enable it : CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 One line in settings.json Done 📌 What you need to know : → Each agent bills separately (start with 2-3, scale smart) → Assign different files to different agents (avoid conflicts) → Stay in the loop (autonomous ≠ unsupervised) Best for : • Complex debugging when root cause is unclear • Parallel solution exploration • Multi-angle refactoring Skip for : • Single-file edits • Simple implementations Want a full guide for FREE ? Follow Chorouk Malmoum and Comment "AI" 👇