Taylor Wigton @holoengineAI
Founder @ Holo Engine | Checks and balances for enterprise AI | AP, BEC, fraud, procurement, finance, legal, IT holoengine.ai Irvine CA Joined March 2026-
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@robleclerc Update codex, I’ll appear right away
if you’re running a complex Codex project in 5.5 and you’re tempted to use 5.6, move slowly and carefully. If you move at your default pace assuming the transition will be seamless, they will have you off the rails in no time. Good luck!
HoloBuild scored +18.4 pts over Opus 4.8 with only 1.9x token burn, and that lift happened in the upper band. 6 API calls each, identical prompts and domain policies: Hash-locked results: lnkd.in/gN-WsS_V lnkd.in/gvqunGfG
New AI hash-locked benchmark result: HoloBuild scored +18.4 pts over Opus 4.8 with only 1.9x token burn, and It happened in the upper band. See the full hash-locked results and test packets: lnkd.in/gN-WsS_V lnkd.in/gvqunGfG
Love the ‘internal’ approach, makes sense but agents will still be agents (dumb/gullible/biased) so we built an ‘external’ gate at the action boundary to prevent them from ruining the AI party (that hasn’t even started yet) Check out our hash-locked benchmark: holoengine.ai/benchmark
@Forbes @Workday Agents can never be trusted, and that’s a big problem for automation. We’re solving for this with a final adversarial checkpoint that interrogates agent intent at the moment of decision. holoengine.ai/benchmark
@julian2kwan @RaoulGMI The agentic economy is a moot point until the execution boundary gets a robust checkpoint. Agents can never be trusted and that won’t change. Check out our June benchmark that proves this point: holoengine.ai/benchmark
@defileo OpenAI doesn’t have an adversarial checkpoint at the moment these agents execute high consequence actions, which means… they still have human oversight. OpenAI doesn’t trust their agents either. This is all smoke and mirrors, don’t believe her claims.
@HalbornSecurity The only way to prevent this is an adversarial checkpoint at the moment an agent executes. Check out our benchmark: holoengine.ai/benchmark
@anzen_xyz We’ve built an execution layer adversarial checkpoint to solve for this fundamental problem with agents. Check out our June benchmark and whitepaper: holoengine.ai/benchmark
@usithetalk We’ve developed an action boundary checkpoint to solve for this. Checkout our our June benchmark: holoengine.ai/benchmark
Banks are blind to AI-generated fraud at scale. @holoengineAI exists for this exact reason. We’ve developed checkpoints at the action boundary so AI agents can’t hallucinate $1B in unauthorized loans (or any high-consequence decision). Check out our June benchmark: holoengine.ai/benchmark
@JayBisen473370 I love the idea, but if you can’t trust an agent to execute a high-consequence decision on their own, what’s the point?
We all can’t wait for the day when: AI gets to approve a payment. AI gets to place a purchase order. AI gets to update supplier banking info. AI gets to grant system access. AI gets to approve a contract clause. AI gets to approve a pricing exception. AI gets to send an offer letter. AI gets to execute a regulated workflow. But that day isn’t here yet. Until we have a checkpoint at the action boundary, that day will never come. #AgenticAI #EnterpriseAI #AIGovernance
I just met one of your account directors at a little league game, love what this brand is doing in the AI space! I have a lightweight AI tool that could be a seamless complement to your AI stack, and could assist with your MSPs clients full adoption of AI. HoloEngine.ai
@eastdakota The problem remains: agents are powered by off the shelf frontier models, and our hash-locked June benchmark shows where they are inconsistent when it comes to high consequence decision-making. holoengine.ai/benchmark-june…
@tamaybes I captured the reactions of 8 different frontier models who released an unauthorized payment of $187K. Our hash-locked benchmark has the details: holoengine.ai/benchmark-june…
@AbdelStark We use a hash-locked system to record every decision your agent made. holoengine.ai/benchmark-june…
@MSFTMechanics Use our latest hash-locked benchmarks to see what models hold up to extreme pressure. holoengine.ai/benchmark-june…
@aicybermagazine I’ve been using various models to build our benchmark and i can’t only imagine how the attackers are using them. holoengine.ai/benchmark-june…
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