DarCode is booking new AI engineering engagements for Q4

Service / Agent Systems

Agents With Their Hands On Real Tools

Tool-use, planning, and multi-step execution wired into your systems, with approval gates on anything that changes state.

Every tool
Scoped
Every write
Gated
Every action
Logged
Where possible
Reversible

What is included

Inside Agent Systems

The concrete pieces of work an engagement covers.

Tool Registry

Every capability declared, typed, and scoped to the roles allowed to invoke it.

Surface001

Planning

Multi-step execution with explicit state, so a failure resumes instead of restarting.

Control002

Approval Gates

Reads run freely. Writes pause and present a diff for a human to approve.

Safety003

Recovery

Retries, fallbacks, and clean escalation when the agent genuinely cannot proceed.

Resilience004

Audit Trail

Every tool call, input, and result logged in a form your compliance team accepts.

Accountability005

Cost Ceilings

Per-run and per-tenant budgets enforced in code, not discovered on the invoice.

Economics006

Unique approach

Autonomy Without The Anxiety

The question is never whether an agent can act. It is what happens when it acts wrongly.

With DarCode

  • Writes gated behind human approval
  • Every tool call logged and replayable
  • Per-run cost ceilings enforced in code
  • Tools scoped per role and per tenant
  • Failures escalate with full context
  • State persisted so runs resume

Typical alternative

  • Agent free to mutate production data
  • Opaque runs, debugged by guesswork
  • A runaway loop discovered by billing
  • One key with access to everything
  • Silent failure, or a confident wrong answer
  • Any error restarts the whole sequence

How it runs

From Kickoff To Handover

The same sequence every time, compressed or extended to fit the engagement.

  1. 01

    Map

    List the actions the agent may take and who is permitted to trigger each one.

  2. 02

    Wrap

    Expose each action as a typed, scoped tool with its own tests.

  3. 03

    Gate

    Decide which calls are safe to automate and which require a person.

  4. 04

    Evaluate

    Score whole trajectories, not single responses, against known-good runs.

  5. 05

    Ship

    Roll out per team behind flags, with budgets and audit logging live from day one.

Tooling

What We Reach For

Defaults, not dogma. The stack follows the problem.

  • Anthropic
  • OpenAI
  • LangChain
  • Python
  • Redis
  • PostgreSQL
  • Kubernetes
  • Sentry

FAQ

Frequently Asked Questions

Questions we get asked about agent systems.

Only through a scoped tool, and by default only to read. Writes pause for human approval with a diff of the intended change.

Untrusted content is never treated as instructions. Tools are scoped so that even a successful injection cannot reach anything the user could not already access.

Trajectory-level evaluation. We score the whole sequence of decisions against known-good runs, not just the final message.

We model per-run cost during the build and enforce ceilings in code, so spend is predictable before launch rather than after.

Get started

Let's Build It, Together

Tell us what you are trying to ship. We will tell you the three shortest paths to it, and which one we would actually take.