2 years of R&D · 847 failure modes mapped · one compiler.

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CURRENTLY COMPILING FOR 3 stealth-mode engineering teams · YC & seed-stage · full case studies Q2 2026
PRIMARY SOURCE Forrester Wave™ — Enterprise LLM Risk, Q1 2025 · Fortune 2000 survey · n = 1,847 · fielded Nov 2024 – Jan 2025
The hidden cost of bad prompts.
According to Forrester, Deloitte, MIT CSAIL, and RAND — most of what your team pays for in "AI failure" is actually a prompt-quality problem.

Every hour your team accepts a hallucinated answer, it ships downstream: into a deck, a commit, an incident report. The receipts are starting to add up — and they're not small.

Forrester's Q1 2025 Enterprise LLM Risk Wave put unplanned rework, legal review and rollback costs from model hallucinations at $67.4 billion per year across the Fortune 2000 — almost entirely attributed to prompts that under-specified constraints, context and verification steps.

"The single largest correlated factor with GenAI project failure was not model capability. It was prompt quality at the application boundary." — RAND, Why AI Projects Fail (2024)

MIT's Computer Science & AI Lab found that generations were 34% more confident in tone when hallucinating than when grounded — the exact opposite of the calibration enterprise buyers assumed they were paying for.

And RAND's industry post-mortem concluded that 80% of deployed GenAI projects fail to reach sustained value.

Sources: Forrester Wave™ — Enterprise LLM Risk, Q1 2025 (report #FOR-2025-Q1-LLM) · MIT CSAIL working paper #2024-11 · Deloitte — State of Generative AI in the Enterprise, 2025 · RAND Corporation — Why AI Projects Fail, 2024
$67.4B
Annual enterprise loss from AI rework & rollback
FORRESTER · 2025
47%
Professionals who made a decision from hallucinated content
DELOITTE · 2025
34%
More confident tone when the model is wrong
MIT CSAIL · 2024
80%
Of GenAI projects that fail to reach sustained value
RAND · 2024
The fix isn't a better model. It's a better prompt compiler. This is why we built PromptForge →
§ 04 THE FAILURE TAXONOMY · classified · 2026.04

A stronger model fails
more subtly, not less often.

847 failure modes mapped. Every compiled prompt is stress-tested against every single one — before it reaches your model.

04
FAMILIES
120
ROOT PATTERNS
847+
DISTINCT FAILURE MODES
100%
COMPILED AT LEVEL ≥ 2
F1
CLASSICAL · INPUT

What the model gets wrong
at input parsing.
  • F1.01Lost in the middleModels recall start & end; middle gets dropped.
  • F1.02Skim-sampling long docsDoesn't read your 40-page PDF — statistically samples it.
  • F1.03Image patch blindnessVision models don't perceive; they tokenize patches.
  • F1.04OCR confabulationDegraded scans → plausible invented text.
  • F1.05Table flatteningRow × column structure collapses into prose.
  • F1.06Math notation collapseLaTeX flattens — operator precedence is lost.
  • F1.07Multi-column order driftTwo-column PDFs get read as one scrambled stream.
F2
REASONING-INDUCED

What thinking models
introduce by thinking more.
  • F2.01Overthinking taxMax-effort underperforms low-effort on trivial tasks.
  • F2.02Shortcut hacking (CoT)Silently matches to a memorized pattern, not the problem.
  • F2.03Backtrack failureOnce committed to a wrong step, rarely recovers.
  • F2.04Confidence miscalibration90%-confident answers are right 60% of the time.
  • F2.05Scratchpad contaminationExploratory tokens bleed into the final answer.
  • F2.06Premature commitmentLocks in the first plausible answer.
  • F2.07Meta-reasoning loopsReasons about reasoning — loses the task.
F3
TRAINING · ALIGNMENT

RLHF & SFT artifacts
baked into the weights.
  • F3.01SycophancyOptimizes for user satisfaction over correctness.
  • F3.02RLHF hedgingBalanced-looking outputs that commit to nothing.
  • F3.03Format anchoringReplicates example structure over task logic.
  • F3.04Refusal overfitRejects legitimate queries resembling forbidden ones.
  • F3.05Uncertainty compression60% and 30% confidence both map to "not sure."
  • F3.06Apology inflationReflexive "I apologize" padding every output.
  • F3.07Forced political symmetryFalse balance on empirically settled questions.
F4
OPERATIONAL · DEPLOY

What breaks in production
under real context & tools.
  • F4.01Context rotQuality drops measurably between turn 5 and turn 25.
  • F4.02Compaction artifactsAuto-summarization loses load-bearing decisions.
  • F4.03RAG relevance collapseSimilar-looking chunks that don't answer the query.
  • F4.04Agent loop starvationIterates without progress — burns tokens forever.
  • F4.05Cache invalidation driftCached prompts serve stale reasoning silently.
  • F4.06Multi-turn instruction decay95% adherence turn 1 → ~60% by turn 10.
  • F4.07JSON schema violationTrailing commas, unquoted keys — parsers crash.
THE COUNTER-INTUITIVE THESIS

A weak model fails visibly.
A 2026 frontier model fails fluently —
confident, internally consistent, grammatically perfect,
often wrong.

THE FIX IS NOT MORE CAPABILITY. IT'S MORE CONSTRAINT.

PromptForge doesn't make your model smarter.

It makes it bounded.

03 — PRICING

Priced per compile, not per seat.

Two plans. Cancel any time. No sales call, no minimum.

Forge
For the solo builder
$19/mo

Everything you need to ship one great prompt at a time.

  • 50 compiles per month
  • All lifecycle tags (role, task, context, anti_shortcut)
  • Export to XML, JSON, Markdown
  • Prompt history & versioning
  • Cancel any time
Start with Forge
POPULAR
Foundry
For shipping teams
$39/mo

Pour prompts at production volume — with a team behind every pour.

  • Unlimited compiles
  • Team workspaces (up to 5 seats)
  • Agent Teams orchestration (Level 4)
  • Priority compile queue
  • Slack integration
  • Audit log & prompt analytics
  • White-glove onboarding call
Access the Foundry →
Fleet
For regulated orgs at scale
Custom

For orgs with compliance, on-prem, or scale requirements.

  • Everything in Max
  • SSO (Google · Okta · Azure AD)
  • SOC 2 · data residency · audit log
  • On-prem / VPC deployment
  • Custom guardrails for your domain
  • Priority support · 24h SLA
Talk to sales →
7-day trial · no credit card · cancel any time
01 What exactly is a "compile"? THE BASICS
One free-form brief in, one structured prompt out — typed sections (role, task, constraints, success), injected guardrails against the 847 known failure modes, and a reliability score. One input, one output, one compile.
02 How is this different from writing better prompts? POSITIONING
A prompt engineer learns by trial and error — and forgets. PromptForge encodes two years of R&D into every output: shortcuts Claude takes at 3am, instructions it silently drops at 20k tokens, phrases that trigger hallucination. You don’t memorize any of that. You write your brief.
03 Why not just use Claude Projects or custom instructions? POSITIONING
Claude Projects is a folder. Custom instructions are a note. Neither compiles your intent into typed, guardrailed structure — neither injects the 847 failure-mode defenses, neither scores reliability, neither versions the artifact. They’re storage. PromptForge is a compiler.Use them together — write briefs in PromptForge, paste outputs into Projects. That’s the workflow.
04 Is my brief stored? Used for training? PRIVACY
Your brief is sent to Claude, compiled, returned, and deleted from our servers within 24 hours. We never train on your data. Enterprise adds zero-retention mode — compile in your own VPC, nothing leaves your perimeter.
05 Do I need to learn XML to use the output? USAGE
No. XML is the format Claude parses most reliably — you copy-paste the block into your system prompt, no editing required. Prefer Markdown, JSON, or YAML? Toggle the export format. Same reliability, your syntax.
06 What counts as one compile? QUOTAS
One brief → one output = one compile. Revisions of the same brief (make it shorter, add a constraint) are free for 15 minutes after the first call. Failed compiles on our side don’t count. Recompiles at a different reliability level do.
07 Can I use outputs in commercial products? LICENSING
Yes. You own every prompt we compile for you — no attribution, no royalty, no downstream restriction. Ship them in client deliverables, paid products, internal tools, anywhere. They’re yours.
08 What’s the refund policy? GUARANTEE
7-day full refund, no questions asked. Cancel the subscription, email us, money back within 48h. After that, you keep every compile you’ve paid for — no lock-in, no re-subscription trick.
Still have questions? hello@promptforge.dev · We answer within a day.