A smooth demo hides a hundred edge cases that break in the real world. For 10+ years we've placed engineers with 70+ businesses — including developers who build multi-step autonomous agents with real orchestration, guardrails and error handling, not just a happy-path prototype.
These are the problems teams hit building agents on their own.
Your prototype agent works in the demo and falls apart on edge cases.
No one's sure what happens when the agent gets an unexpected result.
You're nervous about giving an agent real autonomy without oversight.
Costs spiral because no one's watching token usage or infinite loops.
Most engineers can wire up a framework tutorial, not design one that's reliable.
A poorly designed agent quietly does the wrong thing before anyone notices.
A working demo and a production-ready agent are two different disciplines. We place engineers who build for the second one.
If your agent needs to run unattended and be trusted, this is for you.
Your prototype impressed everyone — now it needs to run reliably in production.
Repetitive multi-step tasks — support triage, data reconciliation — are draining your team's time.
You want autonomy with guardrails, not an agent making unsupervised decisions.
Each problem above maps to how we staff. Here's how we fix it.
We test failure paths and unexpected inputs, not just the happy path that demos well.
Scoped permissions and human-in-the-loop checkpoints for anything higher-risk.
Built-in limits and monitoring so a stuck loop doesn't quietly burn your budget.
We assess candidates on orchestration design decisions, not just framework familiarity.
Logging and traceability so you can see what the agent decided and why, always.
We shortlist from an existing pool of pre-vetted candidates, so you interview in days, not months.
We build and run agentic systems in our own products, so we know exactly where prototypes fall apart — retries, cost control, edge cases, oversight. For 10+ years and 70+ clients, we vet candidates against that real-world bar, not a framework tutorial.
Book a Talent Call →The same agent, three very different reliability levels.
We scope the agent's job, risk level and stack — no cost, no obligation.
We shortlist engineers vetted on real agent architecture.
They design orchestration, guardrails and monitoring together.
The agent runs with visibility, and we scale it as your needs grow.
I've partnered with CrecenTech on several complex projects, and their work is top-notch. I wouldn't hesitate to recommend them.
A chatbot answers questions. An agent plans and executes multi-step tasks — calling tools, checking its own work, and handling failures — with a defined stopping point instead of running unchecked.
Guardrails: scoped permissions, human-in-the-loop checkpoints for risky actions, and monitoring so failures are caught early instead of silently compounding.
Most agent demos skip error handling, retries and edge cases. We place engineers who build for production from day one, not just a smooth happy-path demo.
We match from an existing vetted pool, so you're typically interviewing within days and can have someone contributing shortly after.
Both. Many clients start on contract to prove fit on real work, then convert strong performers to permanent.
Book a talent call — we'll scope your agent and match an engineer who builds for production, not just a demo.