Prima Workflows
Self-Correcting Systems
Find the old instructions your AI should stop obeying.
AI memory audits · local business systems · receipts before claims
Prima fixes two related problems: AI systems acting on stale instructions, and small businesses losing calls, trust, or time because the workflow is unclear. We start by mapping what exists, what is leaking value, and what should change first.
This page is already working before you ask it to. The Architect builds. The Watcher studies. The Builder places another block.
The world grows.
Business Diagnostic
Find the fix
before the call.
Choose your business type and biggest pain point. Prima gives you one specific workflow, three steps, and a low-risk way to test whether the fix is worth building.
Recommended Workflow
Diagnostic Read
How It Works
What We Need
Risk Control
14-Day Outcome
Low-Risk Pilot
Why This Matters Now
AI is moving into work.
Most systems are not ready.
The point is not to scare a business owner into buying technology. The point is simpler: automation is becoming normal, agents are getting access to real tools, and small businesses already operate with thin margins for error. The useful response is not hype. It is a smaller system with clear scope, receipts, and human review where it matters.
20.6%
U.S. companies using AI
Goldman analysts cited Census BTOS data showing roughly one in five U.S. companies using AI as of June 2026, with higher adoption among larger firms.
Source177k
Public MCP agent tools studied
A 2026 research scan of public MCP repositories found 177,436 agent tools. Software work dominated, and action tools grew from 27% to 65% of observed usage.
Source21%
Robust agent guardrails
Deloitte's reported enterprise survey showed agent use rising faster than oversight: only about one in five respondents said robust safety mechanisms were already in place.
Source~50%
Five-year business survival
Federal business-dynamics data show about half of new U.S. businesses make it to year five. Operational leaks compound when the market gets faster.
SourcePrima sits between those two pressures: local businesses need clearer websites and lighter operations now, while AI systems need authority, scope, and review before they are trusted with consequential work.
What We Build
Precision work.
Four disciplines.
Most business owners do not need more technology. They need the missing piece that is costing calls, trust, bookings, or time. Prima finds that piece and builds it cleanly.
01 -
Web Design & Development
A site built for your actual business. Loads fast, books on mobile, and looks like it was made for your neighborhood, not copied from a template.
02 -
Automation Systems
One manual task eliminated per build. Intake forms, follow-up sequences, scheduling alerts, admin workflows. Whatever is costing you the most time gets targeted first.
03 -
AI-Powered Tools
Custom tools for how your business actually works. Not a chatbot for its own sake. A quote calculator, reactivation sequence, or status tracker built around your workflow and tested before delivery.
04 -
SEO & Digital Strategy
Getting found on Google for your neighborhood, your service type, and your city. Local presence that compounds over time without requiring a bloated monthly retainer.
Selected Work
Built different.
Every time.
Recent work across client websites, shipped tools, public research, and local business systems. Every status is honest.
Live · Client
GWB Seamless Gutters
Professional contractor site for a Southern NH gutter company - family-owned story, 10 years of craft experience, project gallery, review proof, quote path, licensing copy, and real-domain launch.
View Live SiteLive · Product
Clutch Receipts
No-login NBA fan tool for locking takes, grading them after the game, and generating receipt cards. Includes a transparent quarter projection model and optional Gemini readback.
Open DemoLive
PHS Fence & Deck
Full website for a local fence and deck contractor - service pages, contact flow, and a local SEO foundation that gets the site found by people searching for the job, not just the brand.
View Live SiteClient Build
Territory Intelligence System
A sales pipeline and territory management dashboard with account segmentation, opportunity prioritization, and rep-level visibility. Built for a private client - available on request.
Private build · Available on request
Live · Product
Memory Authority Auditor
Six-agent Cloud Run system that audits AI memory files for authority gaps, stale instructions, and verification failures. Public demo verified. Open source.
Open the AuditorLive · Product
Agent Memory Card Generator
Enter an agent's name, purpose, and instructions - the app classifies each by risk level, generates a visual authority posture card (Safe / Cautious / Restricted), and exports a structured report ready to paste into AGENTS.md or CLAUDE.md.
Open the GeneratorLive · Research
Self-Correcting Systems
Public AI memory and authority research, sharpened through live technical review. Latest proof: a memory gate passed every frozen case, then an independent audit found the test itself was incomplete.
Read Latest ArticlePublic · Pre-registered
Gino Coherence Gate
Read-only execution-gate receipt for the first trading proof path. Frozen policy, scorer, readiness kit, and tests are public. Boundary: no live Robinhood connection, no scored signals, and no revenue proof yet.
View Public ReceiptLive · Archive
The Cosmic Forum
A structured archive of 60+ sourced entries across language systems, symbolic architecture, and independent research built outside the AI systems work. Public and open.
Browse the ArchiveNext
Your workflow here.
We take on new builds. One clear problem first - the repeated task quietly costing you the most time each week.
Start a conversationResearch Foundation
Proof built
in public pressure.
This is the public proof layer behind the work: claim ledger, failed tests, live tools, and open boundaries. It exists so the site is not asking for trust without showing how judgment is formed.
Latest article · DEV.to
A Receipt Is Not Proof Forever
The current v3 write-up: a memory gate passed every frozen case, then an independent audit found three doors the test never measured. The failure became the point: preserve what must be reopened when trust changes.
Public thread · relation gate
The citation was real. The relation was not.
The article that opened the current thread: a citation checker passed a true quote while the claimed relationship was false. The public comments then became the adversarial design loop for v3.
Synthesis · Cross-Layer Coherence
The failure was not in one layer.
The research line now has a name for the common pattern: an agent can know something true, have a valid permission, and still act outside the current purpose when its layers fall out of phase.
Live product · Clutch Receipts
A take is just talk until the game scores it.
A weekend product shipped live: NBA take tracking, transparent quarter projection, receipt cards, and optional Gemini readback. It turned a passion prompt into a usable proof loop.
Public Harness · GitHub
AI Memory Judgment Demo
Evaluation packets, stress tests, ablation runners, and the full CLAIM ledger. Every result is reproducible. External packets are welcome. The schema is public.
Live Product
Memory Authority Auditor
Six-agent Cloud Run system that audits AI memory files for stale instructions, loose authority, conflict risk, and missing verification gates. The framework as a working tool.
Live Product · Generation Side
Agent Memory Card Generator
The auditor inspects existing memory files. This tool builds authority-aware instructions from scratch - classifies each by risk, outputs a posture card, and exports structured metadata ready for AGENTS.md or CLAUDE.md.
External Pressure · Open
Challenge the Framework
The research has been shaped by external commenters finding gaps we missed. That's by design. If you see a boundary case - write the packet, submit it, and it goes on the record.
Evidence Before Deployment
A build does not ship
because it sounds smart.
These are the failure patterns that shape how we build. They keep the work grounded when a tool looks useful, confident, or impressive before it has earned authority.
Boundary 01
Relevance is not authority.
A retrieved memory can be highly relevant and still lack authority to govern the action. The harness tests action consequences, not just retrieval accuracy.
Boundary 02
Signed is not fresh.
A valid source response is not enough if the governing conditions changed. Freshness, source independence, and paired action events need separate checks.
Boundary 03
Permission is not purpose.
CLAIM-29 showed that authorized, normal-looking actions can still fall outside the agent's mandate. The V0 result is demonstrated internally, not externally validated.
Why We Are Different
Most frameworks ask
did the agent find it.
We ask if it was
authorized to act on it.
The AI memory ecosystem has spent years getting better at memory, retrieval, persistence, and context management. We identified a different problem and built a public research harness to test it.
The Gap Nobody Named
Relevance and authority are different objectives.
A memory can be perfectly relevant to a query and have zero authority to govern the action. LangChain, LlamaIndex, MemGPT/Letta, and Zep solve important memory and context problems. We test a different layer: whether retrieved memory is authorized to govern the operation that follows. Those objectives diverge under adversarial conditions. We have 31 tracked claims documenting where and why.
The Self-Description Gap
A mislabeled memory lies about itself. The gate has to read something else.
When sensitive memories are stored as ordinary context - no authority signals, no governs field - target-accurate retrieval produces false-certainty errors. The agent finds the right memory and answers confidently with content it was never authorized to disclose. Metadata helps when it is trustworthy. Mislabeled memory needs a gate that derives authorization from the operation itself, not the memory's self-description.
Six Trust Boundaries Crossed
Memory → Query → Tool call → source freshness → signed freshness → scope soundness → purpose.
CLAIM-22 moved the gate from memory metadata to operation context. CLAIM-23 moved it to concrete tool-call parameters checked against an external grant table. CLAIM-24 asked whether source conditions still hold when the grant clock says valid. CLAIM-25 showed that signed source responses need freshness guarantees. CLAIM-27 tested a claimed boundary under an excluded-property adversary. CLAIM-28 opened the behavioral norm layer. CLAIM-29 opened the purpose layer. CLAIM-30 showed that a sequence of allowed purposes is not itself a purpose. CLAIM-31 moved the boundary up again to verified carryover.
The Evidence Standard
Pre-registered. Falsifications published first. Anyone can challenge it.
Every claim is pre-registered before the experiment runs. When our held-out packet showed plain BM25 outperforming our full governance-adjusted scorer, we published that falsification as the lead finding - before the next article dropped. The public harness has every packet, every evaluator, every result. The evidence is inspectable because the failures stay on the record.
How we compare to the memory and context ecosystem
This is a research comparison, not a product takedown. The major frameworks solve memory, retrieval, state, context, and adjacent approval/access problems. We test the narrower authorization question: whether retrieved memory is allowed to govern the action.
How We Work
A process built
around your problem.
Most agencies start with a package. We start with a conversation. The wrong solution built fast is still the wrong solution.
Discovery call
We ask what is breaking, what is slowing you down, what you have tried, and what outcome would actually matter.
Solution design
We map what needs to be built, why each component matters, and what the deliverable looks like before work begins.
Build from zero
No templates. No recycled systems. We build the exact tool your problem requires and verify it before delivery.
Launch and refine
Once live, we watch what happens and tighten the system around real use.
A system should feel like it was already waiting for the work it was built to carry.
Prima Principle
Pattern
Every build starts by finding the repeated structure underneath the noise.
Leverage
The right system makes a small action carry more weight.
Proof
A claim earns trust when the system itself demonstrates it.
How Pilots Work
Simple proof
before commitment.
Pricing depends on scope. The first step is proving one workflow can change the week.
Step 01
Free diagnostic conversation
We map the repeated task, the current friction, and one result worth measuring.
Step 02
14-day pilot
One narrow workflow gets built and tested against real business activity.
Step 03
Paid only if it works
If the pilot changes the metric, we discuss the paid version. If not, we stop or adjust.
Start Here
Tell us what
needs building.
No tech jargon required. Describe the problem in plain language. For the fastest response, email or text directly. The form opens your email app so you can review the message before sending.
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