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For Forward-Deployed Engineers

Your engineers can't ship "91% good" to customers. Tools that work in demos need to work in the field. Real problems. Real constraints. Real consequences.

The problem

AI works great in the lab. Controlled inputs. Clean data. Predictable outputs. Then it hits production. Edge cases multiply. Users do unexpected things. Latency matters. Costs compound.

Forward-deployed engineers live in this gap. They ship to real customers who don't care about benchmarks. A 9% failure rate means 9 angry customers out of 100. Every day. Compounding.

How 50c helps you ship
Agent guardrails
Behavioral rules, anomaly detection, auto-intervention. Your agents stay in bounds even when users don't.
Production-grade compute
Sandboxed Python execution. Full NumPy/SciPy stack. Run real calculations, not approximations.
Context checkpointing
Save state. Resume later. Hand off to teammates. No context loss across sessions.
Deterministic tool calls
No prompt roulette. Invoke a tool, get a result. Computed and cited, not generated and hoped.
Field-tested tools
compute
Sandboxed Python. NumPy, SciPy, pandas. Real math, not vibes.
$0.02
fog_checkpoint
Save session state. Resume anywhere. Hand off without loss.
$0.02
handoff
Generate structured handoff docs. Context preserved across teams.
$0.05
genius_plus
Self-improving code. Writes, tests, debugs, iterates until correct.
$0.65
guardian
Security audit before deploy. Supply chain, secrets, backdoors.
$0.15
context_health
Monitor agent context. Detect drift, loops, hallucination patterns.
$0.02

Ship with confidence

Tools that work in the field, not just in demos. Start with $5 in credits.

Get Started for $5