Stop your trading bots, web automation, and AI agents from duplicating actions, looping forever, or failing silently
I help teams with automation that already exists and is misbehaving in production. You get a clear fix plan (and, if you want, implementation) so incidents stop repeating.
You'll leave with a prioritized fix list, clear stop/retry rules, and a runbook — not a report that sits in a folder.
Quick questionnaire → clear next step
If you want the fastest, most useful reply, send answers to these. This is how we decide the smallest set of fixes that will stop the repeats.
- What breaks today (duplicates, loops, bans/429s, silent failures)?
- What does "good" look like (SLA, uptime, limits, money risk)?
- Where does it run (cloud/VPS/local) and how often?
- Any artifacts you can share (logs, screenshots, repo link)?
- How urgent is this (this week / two weeks / this month)?
- Budget range (so we propose the right lane)?
What usually goes wrong
If any of these feel familiar, you're in the right place.
- Retries cause duplicate orders/clicks/emails/tickets
- Infinite loops / runaway jobs / escalating costs
- Bans, 429s, timeouts, and "temporary" errors that never end
- It fails… but the logs don't say why
- You can't tell what happened after the fact
- Deployments feel risky because failures are unpredictable
Bot Reliability Audit
Choose this if: your automation is live (or launches soon) and you need clarity fast: what's breaking, what's risky, and what to fix first.
In plain English: we find the 3–7 ways it will fail (duplicates, loops, bans, silent failures), then you get a prioritized fix list your team can ship.
- Prioritized fix list (what to ship first)
- Clear rules: what to retry vs stop vs escalate
- Runbook outline (so 3am incidents are repeatable)
- Map failure modes → decide: retry / stop / escalate
- Set safe retry defaults (backoff + jitter + caps)
- Add minimum telemetry (logs/metrics) + runbook outline
Hardening Sprint
Choose this if: you need the top fixes shipped into the codebase — fast — without turning it into a months-long refactor.
In plain English: we ship the top fixes so retries don't duplicate actions, failures are visible, and bad states stop quickly.
- Duplicates drop (idempotent side effects + dedupe)
- Runaway loops stop (caps + stop rules)
- Incidents get debuggable (logs/metrics + runbooks)
- Harden retries (backoff + jitter + caps + stop rules)
- Prevent duplicates (idempotency keys + dedupe patterns)
- Make it observable (dashboards + log fields + runbooks)
Bot Ops Partner (monthly)
Choose this if: you already have a working system and want ongoing ownership so you don't fight the same incidents every week.
In plain English: we review incidents, tune reliability rules as you scale, and keep your automation stable while you ship changes.
- Incident review + reliability backlog ownership
- Safer rollouts (fewer surprises after deploys)
- Ongoing observability + runbook improvements
- Review incidents → update stop/retry rules
- Tune alerts/dashboards so failures show early
- Improve runbooks as new failure modes appear
Bot Reliability Audit
A focused teardown of an existing bot/agent (or your design before you build). You leave with a concrete plan to reduce failures and make the system debuggable.
In plain English: I'll tell you why it breaks, what to fix first, and how to stop repeats(duplicates, bans, stuck runs).
- Failure modes + stop/retry/escalate rules
- Backoff + jitter defaults + attempt caps
- Logging/metrics checklist + runbook outline
Hardening Sprint
Implementation sprint to actually ship guardrails: prevent retry storms, stop duplicated side effects, and add observability that makes incidents diagnosable.
In plain English: we fix the top failure mode and ship guardrails so it stops causing chaos when the world is unstable.
- Idempotency + dedupe for side effects
- Backoff + jitter + caps + circuit breaker hooks
- Dashboards/logs + runbooks + handoff
Bot Ops Partner (monthly)
Ongoing reliability ownership for bots that run every day. This is for teams that want fewer incidents and faster fixes — not another generic advisory retainer.
In plain English: I help you keep it stable as you ship changes. Less firefighting, more calm upgrades.
- Incident review + policy tuning
- Observability + runbooks + safe rollouts
- Reliability backlog ownership
Typical pricing
These ranges help you decide quickly. If you're not sure, start with the Audit — most teams use it to pick the smallest set of fixes that will stop repeats.
Great fit / not a fit
- Your automation is live (or launches in < 30 days) and failures cost money or trust
- You've had at least one scary failure (duplicates, bans, stuck runs, silent failures)
- You can share artifacts to debug (logs/metrics, screenshots, repro steps)
- Generic app dev (no automation focus)
- No logs/metrics and no way to debug
- "Just experimenting" with no operational owner
What we fix
Common failure patterns across bots, agents, and automation.
Exchange APIs (trading)
Rate limits, bans, timestamp drift, signature errors, websocket drops, and safe order placement.
Web automation (Selenium)
UI changes, fragile selectors, stuck waits, recovery after crashes, and retries that don't double-click.
AI agents
Tool-call loops, unsafe actions, approval gates, audit trails, and error policies that stop runaway behavior.
Reliability foundations
Retry rules, idempotency/dedupe, and observability that makes incidents diagnosable.
Capabilities (technical)
This is the implementation toolbox behind the outcomes above.
Retry policy (backoff + jitter)
Safe retry defaults, stop/retry/escalate rules, and guards that prevent retry storms.
Idempotency + dedupe
Prevent double orders, double emails, double tickets, and duplicated side effects across retries and restarts.
Bot observability
What to log, what to measure, and how to make incidents diagnosable without attaching a debugger to production.
Exchange API hardening (trading bots)
Rate limits, bans, timestamp drift, signature errors, websocket reconnects, and safe order placement.
Selenium hardening (web automation)
Resilient automation with state recovery, safe retries, and debugging signals when the UI changes.
Agent guardrails (AI automation)
Loop prevention, tool-call error policy, approval gates, and audit trails for autonomous workflows.
Axiom Ops (DIY path)
Axiom Ops is what I'm packaging so teams don't reinvent the same fixes: proven defaults, templates, and runbooks you can reuse.
Axiom Ops
Prefer DIY? Join the waitlist for the download: retry defaults, logging templates, and runbooks you can adopt in < 1 day.
FAQ
For an Audit, read-only access to logs/metrics and a short system walkthrough is often enough. For a Hardening Sprint, yes — we need to ship code.
If you have an active issue, start with the contact form and mark urgency. I'll reply with availability and the fastest path.
Yes. If you need an NDA before sharing details, include that in your message.
A short description of what breaks, what it costs (money/time), and any artifacts you can share (logs, screenshots, repo links).
Ready for a clear next step?
If a duplicate action or a silent failure would cause real damage (money, bans, broken trust), this is worth fixing now.
Do you have automation running today that would cause real damage if it duplicated actions or failed silently?
What happens when it fails (and how often).
Money, time, bans, or customer trust.
Logs, screenshots, links, repro steps.