Linvex

small agent tip that saves real money put a hard cap on steps per run. something like 15 tool calls, then stop and hand it back to a human a stuck agent will happily retry the same failing call all night #AIAgents #devlife

|￣￣￣￣￣￣| 　demo: perfect 　prod: day one |＿＿＿＿＿＿| ¯\_(ツ)_/¯ real users dont type like the demo script #AIAgents #devlife

what's the dumbest bug ur agent shipped that one simple eval would have caught wrong date format counts #AIAgents #evals

hot take: if ur agent breaks and the first move is swapping the model, u skipped a step open the full trace first. most of the time the context it got was stale or missing fix the input, rerun ur evals, then decide if the model is the problem #AIAgents #evals

before u touch the prompt on an agent that already works, save 20 real inputs from last week run the old and new prompt on all 20 and read them side by side the regressions love hiding in the boring ones #AIAgents #evals

agent changelog v0.4.2 fixed: agent no longer emails the whole team when it's unsure added: agent now asks before touching anything with a credit card known issue: agent is still very confident about things it made up #AIAgents #devlife

Before automating a report, name the decision it should change. If nobody can name the owner, trigger or next action, automation only produces the same waste faster. Design the decision first. Then build the workflow. linvex.ai #Automation #Operations

Test your onboarding with the same form submitted twice. Define how existing clients are matched, which fields can change and who reviews uncertain matches. One client should not trigger duplicate onboarding. linvex.ai #Automation

Test the rollback before the rollout. Know how to restore the previous workflow. Plan a small rehearsal and a clear recovery path. linvex.ai #Automation

A fast acknowledgement is not lead ownership. Define who receives each enquiry, what happens when details are missing and how the team sees an accepted follow up. Linvex Solutions linvex.ai #BusinessAutomation

Signed does not mean ready to start. Before an onboarding workflow marks a project ready, check the brief, required access, owner and first delivery date. Linvex Solutions builds automated workflows and business systems. linvex.ai #BusinessAutomation

Human approval should be based on risk.

Low-risk task: automate it.

Medium-risk task: automate and review samples.

High-risk task: prepare the action, but require approval before execution.

Not every workflow needs the same level of autonomy.

Every business AI agent needs boundaries: What data can it access? What actions can it take? When must it request approval? What happens when it is uncertain? Autonomy without boundaries creates operational risk.

A chatbot communicates. An AI agent can communicate, use tools and complete a defined sequence of actions. The important question is not, "Can it talk?" It is, "What should it be authorised to do?"

A useful automation should improve at least one measurable outcome:

Time saved
Cost reduced
Errors prevented
Response time improved
Capacity increased

If none of these can be measured, the project may not need AI.

AI does not automatically fix an inefficient process. If a workflow has unclear ownership, inconsistent inputs and unnecessary approvals, automating it can make the confusion move faster. Simplify first. Automate second.

Before automating a task, ask three questions:

Is it repeated frequently?

Does it follow recognisable rules?

Can the output be checked?

If the answer is yes to all three, it may be a strong automation candidate.

Most AI agencies learn on the client's budget. We built our own product first - every expensive lesson paid in-house. Reply with the process slowing you down. We'll tell you straight if AI can kill it - fixed price, before we build. linvex.ai

Every AI agency has a deck. Ask them what they've shipped. Agents, automation, chatbots, dashboards, integrations — fixed price before we build, live in weeks. linvex.ai

Most businesses are sitting on a goldmine and calling it “old spreadsheets.” The data you already collect holds answers you’re guessing at. AI doesn’t need more data, it needs someone to put yours to work. #DataAnalytics #AI