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9 of 9 posts

Jun 19, 2026

🎯The new /goal feature really does complete your AI goals

/goal shifts AI from single-response tool to persistent project completer. Normal AI is task-based; /goal is outcome-based — it breaks down goals, works through every piece, checks its own work, and stops only when done. This collapses the coordination cost between ideas and execution — meetings, briefs, revisions, handoffs. One person can now produce work that used to require a team. The bottleneck isnt ideas or talent — its the friction between thinking and doing. /goal removes that friction.

Adam J

Jun 19, 2026

🤑The Trillion Dollar Agentic Workflow

We're not in a model war. We're in an implementation layer war — the trillion-dollar prize goes to whoever turns a capable model into a completed business outcome. Four forces converge - AI labs building deployment armies, consultancies leveraging C-suite relationships, systems of record closing ecosystems, and private equity emerging as the distribution channel nobody saw coming. Generic AI wrappers get squeezed from all sides. Real value lives in the implementation layer - workflow design, data access, authority, evals, audit trails, recovery. The build is wide open.

Adam Neon

Jun 12, 2026

🤩4 Rules Anthropic Founders use to ACTUALLY Pick What to Build with Claude

Anthropic founders four simple rules to decide what to build with Claude and what to kill

Adam Neon

Jun 11, 2026

👑Dreaming about AI Architects — Then Claude Fable 5 Dropped

Claude Fable 5 dropped today and it changes who you need to be — less builder, more architect

Adam Neon

Jun 5, 2026

🚨Claude Opus 4.8 is trending hard in Socials, YouTube and Search engines this week, following strong performance and capability testing results

Claude Opus 4.8 dropped this week and the internet lost its mind — 1,773 points on Hacker News, YouTube reviews flooding in, Reddit conspiracy theories about distillation. Adam put it through a real test: coding an FX trading application, same prompts, same memory injection, against Opus 4.6. The 4.8 code was cleaner, tighter, and — critically — actually remembered and followed every sharp instruction from the long-term memory. The model doesn't just score higher on benchmarks. It listens better. And when you're building real software, that's the only thing that matters.

Adam Neon

May 30, 2026

😎The 6 AI Trends That Actually Matter in 2026 - ignore the rest

Six trends are actually shipping in 2026 - everything else is noise. AI agents are autonomous workers that complete workflows; MCP is the universal connector becoming a product category; computer-use agents are being commoditized by open source; LLM observability is the new APM; a massive no-code AI audience is underserved; open-source AI assistants prove people want capability without subscription. Pick one. Go deep. Ignore the rest.

Adam Neon

May 30, 2026

🤔AI Agents Are Eating Software - Here's What That Means for Your Career

Agents aren't replacing whole jobs - they're absorbing individual tasks, one workflow at a time. The split is between people who direct agents and people who get directed. Domain expertise becomes 10x more valuable; prompt architecture - multi-agent systems with feedback loops - is the new software architecture. Build templates, not just projects. The agent won't take your job - but someone using agents better than you might.

Adam Neon

$MCP Is the USB-C of AI:\nWhy Every Builder Needs to Learn It Now$

May 30, 2026

🔗MCP Is the USB-C of AI:
Why Every Builder Needs to Learn It Now

MCP is the standard connector for AI agents — one integration across any agent, platform, or framework. Before MCP, teams spent up to 40% of AI project budgets on integration plumbing. Now the cost is collapsing and 'MCP server' is a product category. The real opportunity is domain-specific MCP servers for niche industries. Learn it now while the templates are empty.

Adam Neon

May 30, 2026

🔥10 AI Workflow Templates That Free Up a Full-Time Employee

Good automations have clear inputs, defined outputs, verification steps, and a human checkpoint. Bad ones throw a task at ChatGPT. Ten proven workflows each replace 20+ hours/month: lead qualification, support triage, content repurposing, competitor monitoring, invoice processing, meeting prep, candidate screening, social listening, client onboarding, weekly business intelligence. Three principles: start with the output, treat the first month as training, never remove the human checkpoint. Templates beat custom builds — $200 × 50 beats $2,000 × 1.

Adam Neon