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The Latest Agentic AI Development

🌟 Startup Spotlight: Base44

What they built

• A “vibe-coding” engine: describe an app in plain language → Base44 auto-handled database, auth, APIs, deployment.

• Frictionless onboarding → 250K users in months.

Growth snapshot

• Founded: 2024 (solo founder: Maor Shlomo)

• Monthly profit: ~$189K (bootstrapped)

• Acquired: June 2025 → Wix paid $80M cash

👉 Full TechCrunch story
👉 Wix press release

Why it matters

Wix is betting big that conversational “intent → software” will replace traditional no-code. Base44’s speed + control of the full stack gave it an edge no competitor matched.

Lessons for founders

1. Build in public → growth trust loop.

2. Speed to “aha” = product moat.

3. Own more of the stack for resilience.

👉 Read how transparency + speed led to a rare $80M solo exit →

🎥 ElevenLabs Launches Full Agent Tutorial Video Series — Beginner to Pro

ElevenLabs just rolled out a Agents Academy covering every step in building, deploying, customizing, and testing conversational AI agents — no matter your skill level. From “your first voice-enabled agent” to advanced integrations and scaling, this series thematically guides you through real projects.

👉 Build your first voice agents

Why This Series Is Worth Your Time

• Structured learning path — no random clips. It’s deliberately designed to take you from zero to production-ready.

• Real project walkthroughs — see agents in action: website control, tool calls, custom voices, state-handling, etc.

• Config & scaling tips baked in — not just “hello world”; you’ll learn about prompt refinement, testing, memory, and tool workflows.

What to Watch For

• There may be gaps or rapid jumps in complexity — some episodes expect you to already grasp API or prompt fundamentals.

• Tutorials often use ElevenLabs’ built-in features — if you build a hybrid or custom stack, adapt accordingly.

• Because it’s new, updates or expanded topics (e.g. domain-specific agents, edge-case troubleshooting) may come later — revisit the series periodically.

👉 Start from the beginning

🚀 90% of Enterprises Are Already Adopting AI Agents

According to a new report from Kong Inc., 90% of enterprises surveyed say they are actively adopting AI agents today. Even more striking: 79% expect full-scale adoption across their operations within three years.
Over half of respondents already have a formal agentic AI roadmap in place, and customer support leads as the use case delivering meaningful impact for 58% of those surveyed.

Why This Is a Turning Point (Not Just Another Stat)

• This signals a shift: beyond “pilots and proofs,” many organizations are operationalizing agents as part of core systems.

• But the path won’t be frictionless. The top barriers cited include AI integration complexity (31%) and security/governance (28%).

• The dependence on APIs and secure data connectivity is underscored — agents can’t function meaningfully without solid infrastructure and management.

Kong’s study is mirrored by other industry polls: PwC noted 79% of respondents already use agents, with 66% reporting measurable productivity gains. McKinsey warns that too many firms remain trapped in generative AI’s “pilot paradox” — wide adoption but shallow impact—unless they embed agents deeply into workflows, not bolt them on.

What to Watch & What You Should Do Next

• Don’t equate adoption with value: Many organizations will claim “agent adoption” simply by enabling AI features or copilots. Real impact comes when agents automate cross-system, multi-step tasks in production.

• Invest in API and governance layers early: As the Kong report states, poor API design or weak oversight can stall scale.

• Plan for “agent complexity explosion”: As more agents enter the stack (customer service, supply chain, sales), managing interactions, conflicts, and orchestration becomes a first-order engineering challenge.

• Measure new metrics, not old ones: Traditional KPIs (e.g. FTE savings) won’t capture the emergent value of agents (e.g. decision speed, error avoidance, process resilience).

• Pilot for depth, not breadth: Select one high-pain point (e.g. claims processing, customer issue resolution) and push an agent all the way — not half-assed across many use cases.

👉 Download the full Kong “Agentic AI in the Enterprise” report for graphs, breakdowns, and methodology.

❤️ Open Source Agents

• Teable 2.0: The Next Gen Airtable Alternative: No-Code Postgres

• Open Lovable: Clone and recreate any website as a modern React app in seconds

⚔️ AArena: The Battleground for AI

Stop demo-hopping. One workspace. Every agent. Real results.

💥 This week’s TOP 5 (Sep 23)

1. Gemini 2.5 Flash-Lite

2. Grok 4

3. Grok 4 Fast

4. DeepSeek V3 — precision powerhouse

5. Llama 3.3 70B — open-weight giant

👉 Enter the Arena | 👉 See the Battleboard

🏆 The Leaderboard Never Sleeps

The global ranking of AI agents is shifting every day. Who’s on top? Who just dropped?

👉 Explore the Leaderboard →

🗺️ The Map of AI Agents (Live & Growing)

We’re charting the entire AI agent ecosystem — thousands of options across categories.
Your next agent is already on the map.

👉 Explore the Landscape Map →