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$ cd ~/offer/agentic-army

Stop launching apps.
Deploy an agentic army

Production agents on Amazon Bedrock + AWS AgentCore. Not chatbot demos.

Talk to a senior engineerSee the 80/20 Hybrid™

A traditional app waits for the user. An agentic system does the work between user sessions — qualifying leads, processing forms, escalating exceptions, calling APIs. We build these on Amazon Bedrock and deploy them to AWS AgentCore Runtime with deterministic Step Functions for the 80% that shouldn't be an LLM call, and Bedrock-hosted models for the 20% that genuinely needs reasoning.

# what-you-get

The shape of this offer.

Agents that ship to production

Custom MCP servers, tool definitions versioned in your repo, evals in CI. Cost guardrails per tool call. Bedrock Guardrails on every model output.

Bedrock-hosted models

Claude, Llama, Titan, all behind a single AWS-native API. Multi-model fallback. Your inference stays inside your VPC.

Deterministic where it counts

Step Functions for the workflows that don't need a model. Not every step is an agent — that's the discipline most teams skip.

Observable, debuggable, accountable

Every agent decision logged. Every tool call traced. Every cost line itemized. When prod is weird at 2am, you can read the trace.

# the-cadence

How it runs, step by step.

  1. 01

    Workflow audit

    We map the workflow you want agentic. Where rules suffice, we keep rules. Where reasoning is required, we deploy an agent.

  2. 02

    Architect on AgentCore

    AgentCore Runtime in your AWS account. MCP servers for the tools the agent needs. IAM scoped tight.

  3. 03

    Evals + guardrails

    Bedrock Guardrails on output. Eval harness in CI catches regressions on every prompt change.

  4. 04

    Production rollout

    Phased: shadow mode → human-in-loop review → autonomous. Cost dashboards live before any traffic flows.

# the-comparison

Production agents vs. chatbot demos

DimensionAppsTangoMost "AI agent" projects
Where it runsAWS AgentCore Runtime, your accountVendor SaaS or someone else's VPC
DeterminismStep Functions for 80%, model for 20%LLM-as-router for everything (expensive)
Cost per callItemized, alarmed, cappedVisible only when the bill arrives
Failure modeTrace + replay + eval rerunRe-roll the prompt and hope

# faq

The honest answers.

Why Bedrock specifically?+
Multi-model in one API. Inference stays in your AWS VPC. Bedrock Guardrails on output. Cost lives in the same bill as the rest of your infra. For most regulated workloads, that combination is the only one that survives compliance.
What about Devin / Cursor / Lovable?+
Great tools — we use them on every engagement to accelerate the build. But none of them runs your production agent in your AWS account with SOC 2 evidence. That's where we live.
When is the wrong answer "agent"?+
About 80% of the time. If a state machine works, we ship a state machine. We kill more agent ideas than we ship — see the blog post.

$ production agents, not demos

Talk to a senior engineer about your agent.

Bring your workflow. We'll tell you in 30 minutes whether an agent is the right shape — and if it is, what the Bedrock + AgentCore stack would look like.

Book your free strategy callOr get a fixed-price quote