[ 07 / Services ]

Custom Agent Engineering

Goal-driven autonomous agents with planning, memory and tool-use — wired into your business workflows.

[ Capabilities ]

01
Planner-Executor Loops
02
Long-Term Memory
03
Tool & API Orchestration
[ Overview ]

Custom Agent Engineering

A real agent isn't a chatbot in a trench coat. It's a goal-driven system with planning, memory, tool-use and a tight feedback loop with your business — capable of running for hours without supervision and still doing the right thing.

We design agent architectures around your workflow: planner-executor loops, long-term memory backed by vector + graph stores, tool layers wired into your APIs and a recovery path for every plausible failure. Every action is logged, replayable and reversible.

Used by sales teams that wake up to qualified pipeline, ops teams that find every refund pre-processed, and engineering teams that ship merged PRs from an empty backlog.

[ What you get ]

  • Production agent with planning, memory and tool-use
  • Tool registry wired to your APIs and internal services
  • Eval & replay harness for deterministic regression tests
  • Cost & action audit log per agent run
  • Human-in-the-loop console for review and override
[ Where it shines ]

Where it shines

01

Sales & outreach

Agents that research, qualify and write the first three touches.

02

Ops automation

Refunds, KYC, dispute handling — long-running flows owned end-to-end.

03

Engineering fleets

Agents that pick tickets, write code and ship PRs against your conventions.

04

Research assistants

Multi-step deep research with sourced, verifiable output.

[ Tools & stack ]

Claude · GPT · Gemma 4LangGraph · CrewAI · custom orchestratorsTemporal · Inngest · Trigger.devPostgres · pgvector · Neo4jLangfuse · OpenTelemetry
[ Frequently asked ]

Frequently asked

01How is this different from a 'chatbot with tools'?

Persistent memory, structured planning, recoverable failures and bounded autonomy. A chatbot answers; an agent gets the job done.

02How do you stop runaway agents?

Hard budget, step and time caps; tool-level approval flows; full replay log so any run can be paused, rolled back or escalated.

03Can it operate autonomously overnight?

Yes — that's the point. Most of our agents do their best work while your team is asleep.

[ 01 ]

What we deliver

UltraMVP combines deep model expertise with battle-tested production engineering. Every engagement ships measurable outcomes — not just prototypes — built on a stack that includes Claude Code, OpenAI Codex, and custom Gemma 4 fine-tuned adapters.

  • Planner-Executor Loops
  • Long-Term Memory
  • Tool & API Orchestration
[ 02 ]

How we work

  1. Step 01
    01

    Discovery and technical audit (1 week)

  2. Step 02
    02

    Architecture and model selection

  3. Step 03
    03

    Build, evaluate and harden for production

  4. Step 04
    04

    Deploy with observability and on-going optimization

Ready for the edge?

Goal-driven autonomous agents with planning, memory and tool-use — wired into your business workflows.

Book a discovery call