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New startup ideas · AI for people who run the AI themselves · Solo professionals who wield AI themselves

startup concept

Attestrail

Tamper-evident logs of every AI action, built for licensed professionals' liability files

An API and local proxy that sits between a professional's assistant and their MCP servers, writing a hash-chained record of every prompt, tool call, source document and model version, then rendering it as a human-readable file for a malpractice carrier, board, or court.

7

similar startups, last 2 years (10 all-time)

yes

8 matching federal grants and programs

Direction supported by government programs and grants

Test it before you build it

$400 · 3 weeks · 25 prospects

For $400 and 3 weeks, prove that solo attorneys will prepay $117 for tamper-evident logs of their AI use before any court, bar or malpractice carrier requires one.

Riskiest assumption · A solo attorney who uses AI on client matters will pay $39 a month today for a signed record of what the AI did, before any court rule, bar opinion or malpractice carrier requires one.

1Focus group: who and where

Solo attorney or partner at a 2-3 lawyer litigation or immigration firm who already drafts with Claude or ChatGPT, has read the sanction orders over fabricated citations, and whose malpractice renewal questionnaire now asks about AI use.

where to find 25 · The Solosez listserv for solo and small-firm lawyers, the r/Lawyertalk subreddit, state bar solo and small firm section meetings and listservs, and ClioCon in October where solo attorneys who actually buy legal tech gather.

2Sell first, build later

Founding membership: a local proxy that writes a signed, tamper-evident record of every prompt, tool call, source and model version across Claude and ChatGPT, rendered as a readable exhibit for your carrier, your bar or a judge, with setup done for you on a call, live within 3 weeks.

the ask · $39 per month, sold as 3 months prepaid at $117, founding price locked for 12 months

a real yes · A real yes is $117 through checkout; 'this should exist', 'ping me when my carrier asks for it', and unpaid beta requests are noes.

3Small experiments

The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.

  1. 1. Prepay off a mock exhibit

    $350 · 14 days

    Hand-craft one realistic signed session log from a synthetic matter: a motion drafted with AI, every prompt, source document and model version hash-chained, rendered as a court-ready exhibit. Book 20 calls through Solosez, r/Lawyertalk and one state bar solo section listserv, screen-share the exhibit, and close with 3 months prepaid at $117.

    keep going if · 5 of 20 attorneys prepay $117

  2. 2. Carrier and claims-counsel interviews

    $0 · 10 days

    Call underwriters and claims counsel at malpractice carriers that serve solos, starting with ALPS and the brokers who place solo coverage, plus two legal-malpractice defense attorneys. Ask one question: would a hash-chained log of the AI session have changed this claim or this underwriting file? Third-party value is what makes the log worth keeping.

    keep going if · 3 of 5 carrier-side interviews say the log would materially help a defense or an underwriting file

  3. 3. MCP config walkthrough

    $50 · 7 days

    On a screen-share, walk 8 prospects through pointing their Claude Desktop MCP config at a placeholder endpoint, exactly the install the real proxy needs. Measures whether a solo attorney will touch a JSON config at all, the adoption friction that kills a proxy-shaped product.

    keep going if · 6 of 8 complete the config change unassisted after one demonstration

4Collect a deposit up front

Tesla took $1,000 refundable reservations for the Model 3 and $100 for the Cybertruck before building either: the deposit is the measurement, not the revenue.

$117

per prospect, refundable

how · Three months prepaid by card checkout right after the demo call; a solo attorney buys sub-$200 software on a card with no procurement cycle, so a checkout is both credible and the cleanest measurement, and an LOI would be weaker evidence here, not stronger. set up: Stripe Checkout ↗

what it reserves · One of 10 founding slots, $39 a month locked for 12 months, and a done-for-you setup call for their specific assistant and MCP configuration

refund · Refundable in full on request any time before the proxy is live in their setup, and for 30 days after.

target · 5 prepayments of $117 from 20 calls within 21 days

before taking money · Session logs contain privileged client material, so every demo and founding pilot runs on synthetic matters only, and legal-ethics counsel must review the confidentiality and storage terms before any real client data touches the proxy.

Go: build it if

5 of 20 attorneys prepay $117, 6 of 8 complete the config walkthrough, and 3 of 5 carrier-side interviews say the log helps a defense

Kill: stop if

Fewer than 2 of 20 prepay, or fewer than 4 of 8 can complete the config change, whatever the carriers say; then the demand is hypothetical or the proxy form factor is wrong

5 Scripts to run itoutreach message, landing copy, deposit terms · click to open

outreach message

You draft with Claude or ChatGPT, and if a filing ever goes wrong you have no record of what the AI did or what you reviewed. I am building a $39 a month proxy that keeps a tamper-evident, signed log of every prompt, source and model version, rendered as an exhibit your malpractice carrier or a judge can read. I have a sample exhibit built from a synthetic matter. Can I show it to you in 20 minutes this week?

landing page

A signed record of everything your AI did, ready for court $117 prepays 3 founding months at $39 a month, locked for 12 months, setup done for you Prepay and take one of 10 founding slots

deposit terms

$117 prepays your first 3 months at the founding price of $39 a month, locked for 12 months, and reserves one of 10 founding slots with setup done for you on a call within 3 weeks. Refundable in full on request any time before your proxy is live, and for 30 days after.

Would you run this test?

One tap. The yes-share feeds the Demand pillar of this idea's score; nobody sees who answered.

Budgets are out-of-pocket estimates for a team of one to three, US market. Size the deposit to the deal, and check the terms before taking money in a regulated line.

Scorecard

Ranked against every idea in the catalog: trend, demand and 100x potential from the corpus, competition relative to the other ideas. A generated concept has no judges or swipes yet, so its pillars use the data signals only.

71

Idea Score, 0-100 · raw 44.1 x 1.61

Active

competition: more crowded than 69% of ideas · headwind x0.65

+2.9

government priorities, secondary (10 matching grants)

Trend

49

Is the wave forming now? 2025-26 entrants vs 2023-24, rounds since 2025, the sector's live-batch direction, the 2026 trend analyst.

  • Entrants 2025-26 vs 2023-24 (similar companies)96
  • Rounds announced 2025+ in the sector0
  • Sector direction (live batch)50

Demand

65

Does anyone want it? YC's current RFS, companies already paid for something similar, the operator judge, founders' yes-rate in decks, readers who would run the test.

  • YC asks for it (current RFS: idea / sector)30
  • Someone already pays (similar companies, recent / all-time)100

100x potential

78

Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.

  • Neighbours still alive78

Score = 100 x cbrt(Trend x Demand x 100x) x (1 - 0.5 x crowding) + government bonus (max 5), calibrated so the 95th-percentile idea scores 90 (order never changes). A geometric mean: a weak pillar cannot be papered over. Percentiles are among the 382 ideas in the catalog; the terms matched were tamper-evident, logs, action, built, licensed, professionals, liability, local.

The concept in full

What
An API and local proxy that sits between a professional's assistant and their MCP servers, writing a hash-chained record of every prompt, tool call, source document and model version, then rendering it as a human-readable file for a malpractice carrier, board, or court. Lawyers, CPAs and physicians get proof of what the AI did and what they reviewed. In the first hour a user points their Claude or ChatGPT MCP config at the proxy and sees their first signed session log.
Grounded in (2025-2026 signals)
MCP had 97 million monthly SDK downloads and 10,000 active servers at its December 9, 2025 donation, co-founded with Block and OpenAI with Google, Microsoft, AWS, Cloudflare and Bloomberg behind it; Gartner predicted on June 25, 2025 that more than 40% of agentic AI projects will be cancelled by end of 2027, with weak risk controls a named cause; the Anthropic Economic Index (November 2025 data) shows 52% augmentation on Claude.ai, people iterating with the model.
What it rides
MCP donated to the Agentic AI Foundation on December 9, 2025. Because MCP is now a Linux Foundation standard with first-class support in ChatGPT, Claude, Cursor, Gemini, Copilot and VS Code, one logging proxy at the protocol layer covers every assistant a professional might run.
Why now
Gartner's June 25, 2025 call that 40%+ of agentic projects die by 2027 partly on weak risk controls is the demand signal, and MCP's standardization on December 9, 2025 is the supply-side event: for the first time one protocol interception point covers the assistants of every major vendor, so a 2-person team can build the record-keeping layer once instead of per-app.
Wedge: first customer and entry point
Start with solo attorneys, where courts have already sanctioned AI misuse and the need for a record is sharpest, sold as a $39-a-month proxy plus usage pricing on the API for tool builders who want logging built in.
Closest real companies, as the generator saw them
Confident AI does LLM evals and observability for teams building AI products; Tinfoil sells encrypted AI with verifiable privacy. Neither produces liability-grade records of an individual professional's AI use; for that specific layer, none tracked.
Main risk
Assistant vendors ship exportable, signed session logs natively, making a protocol-level proxy redundant.

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Public money in this direction

US federal grants and open opportunities matched to the concept's terms.

Other concepts in this collection

Fictional concept generated 2026-08-26 by claude-fable-5 from the collection's brief and MarkosWeb data. Treat it as a research prompt, not a plan.