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iftodo
the full jobs people do

AI agents that work full-time.

We build the AI agents everyone else only demos. The frontier kind, a little unhinged, that run an entire job end to end while you sleep, then wake you only for what genuinely needs a human. Wired into your real tools. The one below is ours, so hand it something you're sick of doing.

Live, unscripted

Talk to it

iftodo

I'm iftodo's agent, and I'm the real thing, not a recording. So tell me a job you're sick of, the kind that quietly eats your team's week, and I'll do a piece of it right here.

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people put it on

people put it on: a whole research program, an entire finance back office, a 24/7 ops control tower, due-diligence by morning, a content pipeline that fills itself.

How far it goes

The work decides the level.

Some jobs need a hand inside one step. Some should run themselves. We build whichever the work calls for, and nothing heavier.

  1. 01

    Assistant

    Drafts and decides inside a step. You stay in control of every call.

    For instance

    Reads every support email and writes the reply. You just hit send.

  2. 02

    Autonomous

    Runs the whole function unattended. Escalates only what needs a human.

    For instance

    Onboards each new customer across your stack, and pings you only when something is genuinely off.

  3. 03

    Self-learning

    Sharpens as it runs. Your exceptions become its instincts.

    For instance

    Every edge case you resolve once becomes a rule it applies the next time, on its own.

At the top end, a whole function runs itself. The same autonomy behind our National Dutch AI Cup 2026 finalist agent, now pointed at an entire finance back office, a 24/7 ops control tower, or just your boring week.

proof, not demos

We already ship the crazy ones.

Behind iftodo is a TU Delft AI engineer who ships real autonomous agents in the open. You work with the builder, not a sales desk.

  • Autonomous researchresearch-copilot
    National Dutch AI Cup 2026 finalist

    An autonomous research agent that runs the whole experiment loop end to end.

  • Agent infrastructureTrustChain

    Decentralized trust for AI agents: a Rust core, QUIC P2P, an MCP server, and pip/npm SDKs, on TU Delft research. The public tip of a larger multi-agent system I'm building, most of it still private.

The bigger system, an LLM agent economy with its own trust layer, stays private for now. Happy to walk you through it on a call.

more on GitHub

Why it holds

Spinning up an agent is easy now. Keeping one alive in production is the whole job.

Survives the mess

Real inputs, real exceptions, the cases that quietly break a weekend demo.

Wired into your stack

It acts in the tools you already use, with your approvals in the loop.

Held up over time

Monitored and corrected as your tools and edge cases shift. Shipped to keep working, not shipped and abandoned.

Pricing

Build only when it is worth it.

Three ways in. We scope it, build it against your real inputs, and hand it over documented. You own the code, and we stay only while the agent is carrying real work.

Book a callor talk to the agent

  • first build

    Pilot

    from EUR 3,500

    Your first agent, built against your real inputs in 2-4 weeks.

    Price fixed at scoping. You own the code. 50% to start, the rest only when it survives your real inputs.

  • stalled pilots

    Rescue

    from EUR 2,000

    Built one that broke? Bring it. Audit, hardening, and a clean handover.

    1-2 weeks. Honest verdict first: if it is not worth saving, we say so.

  • keep it alive

    Agent Ops

    EUR 500-2,500 / mo

    Monitoring, evals, and drift fixes, so it keeps working as your tools change.

    Scales with volume and criticality. Monthly report. Cancel monthly.