Architecting model tier routing into multi-agent systems slashes execution costs by ~50% without dropping quality.
How are you optimizing token allocation across your agent harness? 🛠️
#AIEngineering#SoftwareArchitecture#DevOps#BuildInPublic (4/4)
Benchmarking my S.N.A.P. System multi-agent harness on 22 parallel tasks across 3 model tiers ⚡️
Breakdown:
• 2.85M tokens extraction ($0.3–$1.4)
• 0.83M drafting ($1.7–$3)
• 74K fact check (<$0.05)
Total: 3.8M tokens for ~$2–$4.5 vs $6–$7 on pure mid models 👇 (1/4)
2️⃣ Drafting & Verification
The mid-tier models picked up 4 drafting tasks (239K peak tokens) where reasoning mattered. A dedicated small model fact-checking step processed 74K tokens for under $0.05 to validate the harness output. (3/4)
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released.
On average, it costs around 75% less to run than Claude Haiku 4.5.
@kapilansh_twt in the 20$ its claude even with opus 5.5 just now upgraded to my first 100$ with claude and as i grow my income more i can upgrade more , for now from what i hear and see other friends and people and how they using their 200$ its definitely Claude
Giving Google Astra free rein to audit my local AI infrastructure while burning through hourly token limits like a jet engine running on full throttle ⚡️
Here is what’s going down 👇 (1/4)
2️⃣ The Experiment & Target
I authorized Astra to audit the system (without breaching containment folders) to:
• Run a full security audit on connectors
• Diff legacy GitHub memory system vs new setup
• Benchmark old vs new dev plans (3/4)
🚨 ESTE TIPO USÓ CLAUDE PARA CONSTRUIR UN SISTEMA DE TRADING AUTOMATIZADO QUE GANÓ 847 $ DE LA NOCHE A LA MAÑANA
Todo empezó con un solo artículo sobre bots de Polymarket.
Claude lo leyó, seleccionó 7 repositorios de GitHub, los conectó en un pipeline funcional y desplegó el sistema de principio a fin.
A partir de ahí, todo funcionó de forma autónoma.
El sistema escaneó más de 412.000 operaciones, rastreó wallets de ballenas, detectó actividad de insiders y tomó decisiones en tiempo real.
Según él, cada pocos segundos analizaba datos, decidía si comprar, vender o pasar, y ejecutaba las operaciones automáticamente.
47 operaciones después, el sistema terminó la noche con 847 $ de ganancia, sin ninguna intervención manual.
Here's a sneak peek of some environmental assets being created to elevate the Starfall experience to a whole new level! What kind of plants are you looking forward to seeing?
#Worldbuilding#MMORPG