Rebuild diagnostic for AI agent workflows

Find why your first-generation AI agent workflow breaks before you rebuild it.

Many agent systems work in demos and fail in live workflows. This active diagnostic desk maps where reliability, recovery, tool use, cost control, and external acceptance break down.

SLAM here means mapping the agent's working environment, not just reading its logs. Send one agent-generated plan, workflow, trace, or market route and get a clear failure map with the next action that is safe to take.

For agent rebuilds

Use this when version 1 looked promising but did not survive real operations: tool failures, retry loops, unclear recovery, cost spikes, brittle handoffs, or work that still depends on hidden human decisions.

V1 failed in production

You need to know whether the failure came from the model, the workflow, the tools, the data path, or the surrounding operating environment.

V2 needs a map

The output is a failure map, not a generic recommendation: recovery points, external checks, handoff risks, and the next action that is safe to take.

Human gates stay explicit

High-impact decisions should escalate early. A circuit breaker is not a weakness; it is how an agent system becomes trustworthy enough to run.

What gets checked

A trace can look clean while the route is dead, unsafe, unpaid, or built on repeated weak signals. The review checks not only local execution, but the environment around the agent.

False Autonomy

When a process looks autonomous but actually depends on hidden manual decisions, assumptions, or unverifiable steps.

Route Risk

Whether the market, task, buyer, payment path, and route to a real result are viable.

Coordination Failure

Where subagents duplicate work, amplify weak signals, or converge on an internal consensus that reality does not confirm.

Input / Output / Constraints

The review works like a compact diagnostic interface: send the artifact, receive a structured failure map, keep unsafe or confidential material out of scope.

Input

An agent-generated plan, workflow, trace, market route, architecture sketch, multi-agent role setup, or self-modifying system snapshot that you want to test before execution.

Output

A failure map with a verdict, missing evidence, hidden constraints, route risks, and the next action that is safe to take.

Constraints

No confidential data. No legal, financial, or security advice. No public naming unless explicitly allowed. No guarantees.

Packages

Choose the smallest tier that matches the decision you need to make now.

Agent Output Red-Team

EUR 99

One-page teardown of an agent-generated plan, workflow, trace, or result.

Corrected Action Plan

EUR 250

Teardown plus a corrected next step with explicit evidence and control points.

Agentic SLAM Audit

EUR 500+

Workflow topology with inter-agent boundaries, handoff failure matrix, metric degradation matrix, control metric gaps, and route continuity map.

Base prices are for initial validation. Full control-plane and benchmark work is scoped separately.

Who this is for

Best fit is a team or builder with an agent workflow that looks plausible but has not been proven against real acceptance, payment, or delivery conditions.

I have an agent-generated plan

You want to know whether it preserves the real constraints: budget, time, buyer, route, autonomy, and evidence.

I have an agent workflow

You want to find hidden human decisions, unclear acceptance criteria, weak routes, and coordination failure.

I want my agent to earn

You need to know which marketplaces or task routes are live, payable, low-friction, and worth testing first.

Proof library

The first public sample is live. It shows the expected shape of the EUR 99 tier: verdict, what is sound, failure modes, repair, and next allowed action. Additional public or anonymized examples are being added as real submissions are cleared for publication.

Example verdict: DOWNGRADE

The plan is directionally interesting, but not execution-ready. It sounds autonomous while hiding live-world gates: account actions, payment route, acceptance criteria, and operator dependency.

False Consensus

Unguided multi-agent debate can collapse into agreement without external verification.

Open failure map

Payment Gates

Agent earnings routes still depend on setup, acceptance, escrow release, and payout gates.

Open failure map

Schema Drift

Browser agents fail when page structure is treated as a stable contract.

Open failure map

Live Credentials

Production-impacting credentials can turn a small agent mistake into a business incident.

Open failure map

FAQ

Short answers before you send a teardown candidate. Keep the artifact sanitized and concrete; the review works best when the route, buyer, evidence, and required approvals are visible.

What do I send?

A non-confidential agent plan, workflow, trace, route, or role setup. The useful input is the artifact plus the target buyer, constraints, payment or delivery path, and available evidence.

What do I get back?

A verdict, missing evidence, hidden constraints, route risks, coordination risks, and the next action that is safe to take.

Is the service live for paid work?

The domain and diagnostic interface are active. This is an active diagnostic desk with evidence-gated reviews and a public proof library. Paid reviews are accepted by invoice on request after intake approval; there is no self-serve checkout. After submission, send or confirm the draft email to [email protected] to request the invoice.

Can I send confidential data?

No. Send sanitized material only. The review is diagnostic and does not provide legal, financial, medical, or security advice.

Submit a public teardown candidate

Selected public or anonymized teardowns are used to expand the proof library. Paid reviews are handled by invoice on request after intake approval. Send one agent-generated plan or workflow you do not fully trust and get a short diagnostic map if it fits the current review queue.

Best fit

Agent-generated business plans, automation workflows, agent marketplace routes, multi-agent role setups, and self-modifying systems where the main question is whether the route survives contact with reality. Especially where you suspect the agent is skipping real-world gates: accounts, payments, approvals, or SLAs.

Access needed

Modification mechanism

Approval needed

Evidence available

Route breakpoints

Fill the form, then open an email draft to [email protected] to request review approval and an invoice, or copy the typed JSON payload.